medical research data analyst

What Is a Healthcare Data Analyst and How Can You Become One?

Top things to know.

• Healthcare data analysts use not just clinical data, but also claims and cost data, pharmaceutical data, and behavioral and sentiment data
• Data analysts in the U.S. earn a median salary of $69,797
• If pursuing a degree in a related field isn’t possible, many data analytics bootcamps and certification programs are available

Healthcare data analysts are paid well and have plenty of opportunity for career growth. Find out what healthcare data analysis involves, and how you can carve out a career in the industry.

Data analytics is booming in every industry, and healthcare data analytics is no exception. It’s especially big business in the U.S., where the market hit a value of $31 billion in 2022 .

Whether you’re a fresh graduate or are planning to make the shift from another industry, healthcare analytics offers a great many career opportunities. Healthcare analysts are in demand. They’re paid well, and the role is hugely varied.

This is no fad industry—the BLS predicts a 13% growth in healthcare occupations between 2022–32. The fact that healthcare is something we all need at one point or another in our lives also means job security.

So what does a healthcare data analyst do actually, and how do you become one? Let’s dive in.

Table of contents

• What does a healthcare data analyst do?
• How much do healthcare data analysts earn?
• What healthcare data analyst skills
• How to become a healthcare data analyst
• Key takeaways

Let’s find out more.

1. What does a healthcare data analyst do?

As the name suggests, healthcare data analysts help improve healthcare outcomes using data from a variety of sources. Most commonly, healthcare analysts work on the business side of medicine, improving patient care, or streamlining the way things are run.

Other names you might come across when looking for healthcare data analyst roles include:

• healthcare business analyst
• healthcare information management analyst
• healthcare consultant

What is the role of data analytics in healthcare?

Every data analyst has tasks and responsibilities specific to their role. In healthcare, the main aim is to spot patterns that can help improve clinical care, reduce costs, and help healthcare institutions run more efficiently and effectively.

But which data do healthcare data analysts work with? Let’s examine a few”

Clinical data

When people first hear about healthcare analytics, the first thing they often think of is directly improving medical outcomes. Medical records are a form of clinical data, which can be used to do this.

Clinical data analysis is probably the oldest application of analytics in the medical industry. However, the level of insight we can now obtain from clinical data has increased vastly since the introduction of electronic health records (EHRs) in the United States and around the world.

Collectively, the big data we have access to offers unprecedented, real-time insights. For instance, it can be used to reduce the risk for patients, improve the overall quality of care, and even to  train artificial intelligence to diagnose cancers . Pretty impressive stuff!

Claims and costs data

Many healthcare analysts work for insurance providers or related organizations. Claims data generally refers to the information relating to patient claims and the subsequent medical interventions.

Analyses of this data can be used in many ways. For instance, they might help medical institutions identify which medical areas to invest in, or to help insurers get a better grasp of their premiums.

The data might also help identify areas where resources are being wasted or misused. The applications of claims data are very broad.

Pharmaceutical data

The pharmaceutical sector employs healthcare data analysts to support research and development, and to improve products and processes.

For instance, several international pharmaceutical companies have an agreement in place  to share historic cancer research data . They aim to accelerate the discovery and development of new cancer drugs.

Pharma companies might also use data from genome sequencing or medical devices to target specific patients for clinical trials, ultimately improving the outcome of those trials (with more accurate data to use!)

Behavioral and sentiment data

Patient behavior and sentiment analysis might not be the first thing you consider when thinking of healthcare analytics. However, these are an increasingly vital aspect of the industry.

Today it’s far easier (and far more acceptable) to track people’s retail habits, personal preferences, and feedback. For example, patient feedback on specific medical interventions can now be monitored in real-time. This means good behaviors or habits can be promoted, while common issues can be identified and dealt with quickly.

For example, if patients suggest that they’re dissatisfied with a particular drug or medical treatment, this could inform an information campaign. Behavioral and sentiment data are also commonly used by private companies to market their medical products.

In addition to these four key sources of healthcare data, analysts also work across the supply chain and in HR. As such, the opportunities for data analysts in the healthcare sector are extremely varied. This means novice healthcare data analysts have a multitude of exciting career paths to choose from.

2. How much do healthcare data analysts earn?

In addition to an array of fascinating career opportunities, healthcare data analysts are also paid pretty well. While data analysts, in general, tend to earn above the US national average (regardless of industry), the financial rewards tend to be even higher within the healthcare sector.

To illustrate this, we pooled data from the salary comparison site Payscale. In the  United States (where healthcare data analysts are most sought after) you can expect to earn an annual salary of $69,797.  Salaries range from $51K at entry-level to $86K for more senior positions.

In other countries, where demand for healthcare data analysts is still emerging, the figures are a bit lower. For instance, in  Germany , you can expect to earn €48,606. Healthcare data analysts earn an average of £29,661 in the United Kingdom , ranging between £25K to £31K. But these are still not bad salaries.

How much you earn in reality will depend on numerous factors, not just your experience. For instance, the structure of a country’s healthcare system is likely to impact how much data analysts can earn, while the sub-sector you work in matters too. For example, you’ll generally earn more in pharmaceuticals than in local government.

You can learn more about your earning potential in our comprehensive data analyst salary guide .

3. Healthcare data analyst skills

With all going well, your initial entry into the healthcare industry should be relatively straightforward. Healthcare analysts rely on many of the same skills required of data analysts in any sector.

The only additional prerequisite is to have proven data analytics expertise, often in a more generic data analytics role. This isn’t always the case, but it’s not uncommon. Why? Because healthcare data analysis roles tend to specialize fast. Employers, therefore, want to know that you have the basics down before they hire you.

Many roles also require a bachelor’s degree in a relevant subject area, such as health information management. We’ll explore this a bit more in section four, but for now, let’s look at some entry-level healthcare data analyst job descriptions. If you haven’t already, you might want to take a glance at our  guide to data analytics job descriptions and what they really mean .

Entry-level healthcare data analyst skills

We’ve trawled dozens of healthcare data analyst job descriptions and pooled the most common skills. They include things like:

• 2+ years of experience (either in healthcare or data analytics).
• A scientific degree—bachelor or master’s (desirable).
• Advanced proficiency in data wrangling and SQL.
• Experience with analytics tools like Tableau , Metabase , and Mixpanel .
• Desire to work at the intersection of healthcare and technology.
• Ability to explain complex models to technical and non-technical colleagues.
• Basic Python, R, or Ruby, and enthusiasm for broadening these skills.
• Competence in the Microsoft Office suite of applications (especially Excel) plus database and reporting software knowledge.

As you can see—excluding a scientific degree and past experience—these are all fairly standard skills for any entry-level data analyst role. Of course, you’ll also need certain soft skills , such as communication, good time management, presentation skills, and so on.

And what if you want to specialize within the healthcare sector? Let’s take a look.

Specialist healthcare data analyst skills

As your career in the healthcare industry progresses, the range of skills you need will also grow.

Unfortunately, there’s no single list of software and skills that you can refer to. What you learn will vary greatly as your area of expertise becomes more focused. The necessary software and skills, therefore, depend on the role, the career path you’ve chosen, the type of data you’re working with, and which aspect of the analytics process you’re specializing in.

To offer a flavor, though, we’ve pooled some high-level examples of industry-specific knowledge you might need:

• Working with healthcare claims (for example, if you’re applying for a job with an insurance provider).
• Working with electronic health records (often, though not always, for roles in a clinical setting).
• Understanding of clinical classification systems, such as the International Classification of Disease (ICD).
• Experience with procedures such as the Healthcare Common Procedure Coding System (HCPCS).
• Knowledge of region-specific data standards, such as the US Risk Adjustment Processing System (RAPS) or the European Data Protection Supervisor (the healthcare equivalent of GDPR).
• SQL, alongside knowledge of relational databases, data warehouse tools , and data management principles (i.e. data science skills).
• Healthcare-specific business intelligence tools, such as physician-facing software like  UpToDate and  Definitive Healthcare .
• Practical knowledge of the sector, such as how hospitals are run, how diseases and illnesses progress, or experience as a healthcare practitioner.

As this demonstrates, the required skills in healthcare analytics can quickly become quite niche! But don’t worry—as a newly-qualified data analyst, you won’t be expected to know all of these things.

We merely wanted to offer an idea of the industry-specific knowledge you’ll gradually need to accumulate. Consider this your first taste of what the future might hold!

4. How to become a healthcare data analyst

Presuming you’ve got this far and still want to become a healthcare data analyst, how would you go about it?

Entry-level healthcare analysts don’t usually require specialist knowledge, but they will be expected to pick up new skills fast. The reality is that “healthcare analyst” is not so much a single job title as a broad term for many different roles.

You might work in any number of different disciplines or be employed by various organizations, from government departments to private or public hospitals, multinational companies, and insurance providers. This is not a one-size-fits all industry!

If you want to become a healthcare analyst, you’ll gradually need to build particular domain knowledge and technical skills that relate to the broader field of data science (as well as the healthcare industry). To get to grips with this, we highly recommend checking out our  guide on how to transition from data analytics to data science .

For now though, here are some simple steps to help you flourish:

Step 1: Get a bachelor’s degree

Many healthcare data analytics positions require, at a minimum, a bachelor’s degree in a relevant field.

Don’t worry, though—“relevant” here is a pretty broad term. It can be anything from IT or computer science to maths, statistics, or a domain-specific degree in a healthcare-related subject. Eventually, when you take the next step up on the career ladder, you might want to consider a master’s or Ph.D.

This isn’t something to worry about if you’re new to data analytics, but it’s good to keep the future in sight.

Step 2: Get a data analytics certification

Having a degree is useful for proving your knowledge of a specific domain area. However, you’ll also need to prove your data analytics expertise.

This is especially important if you’re hoping to break directly into the healthcare industry without a lot of work experience. Our guide to  the best data analytics bootcamps is a good place to start, but you can also look for a health-specific data analyst qualification.

For example, in the US, the American Health Information Management Association (AHIMA) offers a  range of technical qualifications to help you develop your skills in this area.

Step 3: Get the right work experience

If you can, obtain some experience in fields relating to different aspects of healthcare.

Once again, this is broad, so you can work it in your favor. For instance, human resources, personnel management, systems technology, product research and development, even sales and marketing… These are all invaluable skills that can be applied in the healthcare industry.

Naturally, nothing beats direct work experience. But, if that’s not feasible, consolidate your knowledge in other ways; explore different areas that interest you in your spare time and keep up with industry trends.

Step 4: Speak to someone in the industry

Whether you know someone personally or through a friend, try to speak to someone who works in the healthcare industry.

Ideally, this should be a fellow data analyst. But if you know a doctor, a nurse, another healthcare professional, or just somebody who works in insurance, take the opportunity to ask them about what they do. What does their job involve? How do they use data? Where could novel analytics approaches help them to do their job better?

Ultimately you want to learn as much about the industry as you can. Be like a sponge!

If you’re a recent graduate, you might want to do some of these things before applying for your first healthcare analytics role. Alternatively, if you’re more experienced, why not make the shift into healthcare right now?

Whichever category you fall into, there are many paths to pursue in this exciting and fast-developing sector. And remember, whichever route you pursue within the data analytics field, it’s important to make sure your portfolio reflects your skills and interests.

You can learn in our guide to how to build a professional data analytics portfolio .

5. Key takeaways

In this post, we’ve explored what a healthcare data analyst is, and how you might break into the industry. We’ve explored how:

• Healthcare data analysts work with a wide variety of data; including those from electronic health records, clinical trials, devices, and patient surveys.
• The opportunities and career paths are broad, and the financial rewards are compelling. Data analysts in the US earn a median salary of $63K.
• To start your career as a successful healthcare analyst, you’ll benefit from a bachelor’s degree and a relevant data analytics certification.
• Once you’ve established yourself in the industry, you can progress into data science, with healthcare as your specialist area of expertise.

While we’re living in an uncertain world, healthcare is one thing people will always need. This makes healthcare analytics a great career path if you’re seeking job stability. Plus, you’ll be contributing to improved patient care…that’s got to be rewarding, too!

If you’re new to data analytics, why not dip into our  free, five-day data analytics short course ? Alternatively, learn more about the topic and check out the following:

• What is the typical data analyst career path?
• Which industries pay the highest data analyst salaries?
• How to become a data analyst

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The Role of a Clinical Data Analyst

The medical profession is constantly evolving and developing new treatments, methods, and technologies to optimize patient outcomes. Clinical trials are driving much of this evolution, in which health researchers compile comprehensive data sets of potential treatments and their respective outcomes. For the data to be useful, it must be carefully collected, organized, and analyzed.

That’s where the clinical data analyst comes in. This professional combines a knowledge of computer science with a background in clinical care and plays an essential role in furnishing health providers and facilities with actionable insight. For those who obtain an advanced degree in nursing or a related field, this role may be incredibly rewarding.

What’s a Clinical Data Analyst?

Clinical data analysts work in the health informatics field, recording information that’s ascertained during clinical trials or other forms of research. The analyst’s role is to ensure that essential data is accurately transcribed from the clinical research team, securely stored, and accessible to relevant health providers.

Analysts may work directly with physician groups, providing them with relevant information that can be used to fine-tune treatment methods or enhance clinical outcomes. Their work may also benefit pharmaceutical and medical device companies, which rely on up-to-date data to develop safe, effective, and carefully targeted interventions.

What Does a Clinical Data Analyst Do?

The basic job description for a clinical data analyst involves managing information and staying aware of any noteworthy data trends. The analyst may also be tasked with maintaining systems, databases, and networks that keep data safe while abiding by regulatory standards that govern health informatics.

The exact duties associated with this role may vary from one position to the next, but a typical job description may look something like this:

• Supervising internal data collection as well as outsourced data collection
• Designing and implementing systems to collect and report clinical data
• Compiling and organizing data in secure databases
• Training team members on how to use a facility’s internal data systems
• Summarizing and reporting data
• Collaborating with researchers and research nurses to ensure that the correct statistics or metrics are being recorded

How to Become a Clinical Data Analyst

For those who have an interest in data systems but also feel drawn to patient care, this analyst position may be a rewarding career trajectory. A few steps are required to hone the skills necessary for success in this role.

1. Obtain an Undergraduate Degree

To develop foundational skills, completing a bachelor’s degree program is important. This may be in data analytics or computer science, but it can also be in a more directly health-related field, such as nursing, biology, or chemistry. 

2. Gain Professional Experience

The skills needed for success in clinical data analysis require more than just classroom learning. Getting some on-the-job experience in health data statistics is also important. Entry-level work may be sought in the research department of a pharmaceutical company, hospital, or clinical research facility.

3. Seek Certification

One way for aspiring analysts to signify a high level of training, and potentially compete for more prestigious positions and higher salaries, is to obtain certification from the American Health Information Management Association (AHIMA). The Certified Health Data Analyst (CHDA) is particularly relevant to this role.

4. Pursue an Advanced Degree

While the clinical data analyst position doesn’t require a master’s-level degree, obtaining one can help develop a broader set of skills and potentially open the door to higher salary ranges. A Master of Science in Nursing (MSN) can be a huge advantage to anyone aspiring to work in this analyst role.

5. Hone Essential Skills

Through a combination of classroom learning and on-the-job experience, aspiring analysts can focus on cultivating several core skills. The most noteworthy skills for this position include the following:

• Problem-solving skills
• Critical thinking
• Up-to-date knowledge of clinical and nursing technology
• Mathematical skills, including advanced knowledge of statistics
• Attention to detail

Clinical Data Analyst Salary Range

Those who are drawn to this career path will understandably want to know more about the salary expectations. The median annual salary for clinical data analysts is approximately $72,590 as of August 2023, according to Payscale.

Several factors can affect the salary range for this profession, including level of education, level of certification, years of experience, and geographic location. Working in an area with a higher cost of living typically yields a higher salary. Additionally, an organization’s size and type can also affect the rate of pay for a data analyst.

Pursue a Career Combining Clinical Care and Data Analysis 

Access to up-to-date data is essential to the health care profession. The job of the clinical data analyst can help spur significant improvements in clinical outcomes and day-to-day efficiencies. One way to prepare for success in this field is to seek advanced education. 

Consider The University of Tulsa’s Master of Science in Nursing (MSN) degree path, which provides a robust set of clinical skills combined with core competencies, such as leadership, communication, and organization. Learn more about how this degree can provide the skills for wide-ranging career opportunities. 

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Home > Resources > Healthcare Analytics > Clinical Data Analyst: Salary, Job Description, and Outlook

Clinical Data Analyst: Salary, Job Description, and Outlook

• Published June 9, 2017
• Updated May 2, 2024

A clinical data analyst develops and manages databases for healthcare organizations, generally in a clinical setting or in relation to clinical trials. The No. 1 responsibility for most people in this position is to ensure that data is accurate and reliable.

The duties of a clinical data analyst don’t end there. In fact, many organizations employ an entire clinical data management (CDM) team to ensure that the information collected through clinical trials is sound, relevant, and mistake-free.

Clinical Data Analyst Job Outlook

Where does the clinical data analyst fit in with a CDM team? Here are just a few of the specific duties expected of a clinical data analyst:

• Oversight of externally and internally sourced data management
• Development of clinical data testing systems, including design, documentation, implementation, and reporting
• Working closely with the research team to ensure accurate collecting and recording of data
• Implementation of study-specific procedures to ensure compliance with regulations and internal best practices
• Software development, where applicable
• Training of fellow employees in the use of equipment and software
• Updating and reporting relevant results to stakeholders.

Clinical data analysts might be equated with operations research analysts who are involved in the healthcare industry. While the U.S. Bureau of Labor Statistics estimates that all operations research analysis jobs will grow by 30% through 2024, similar positions in the healthcare and research and development fields are expected to grow even faster.

Job Growth Percentages for a Clinical Data Analyst

Here’s a breakdown of BLS estimates for clinical data analyst job growth percentages through 2024, distinguished by specific sectors of the healthcare and scientific research field:

• Direct health and medical insurance carriers – 52.5% growth
• R&D in physical, engineering, life sciences – 28.3% growth
• R&D in social sciences, humanities – 7.1% growth
• Ambulatory healthcare services – 63.7% growth
• Physician offices – 47% growth
• Outpatient care centers – 82.1% growth
• Hospitals – 28% growth
• Specialty practices – 55.1% growth.

Data Analysts Salaries

One reason clinical data analyst jobs are expected to become more prevalent is the expanded use of digital health records in the United States. The passage of the 2009 American Recovery and Reinvestment Act and subsequent legislation mandated the use of electronic health records, which has created a massive library of new digital data – and the need for analysts with the expertise required to ensure data accuracy and reliability.

According to the BLS, the median annual salary for operations research analysts in 2016 was $79,200. The median salary in 2016 for those who worked in mathematical science operations was $81,750.

Also according to the BLS, the lowest-paid 10% of workers in this field made less than $43,400, while the highest-paid 10% of workers in similar positions earned more than $132,660.

When listing available job positions, hiring agents might use a variety of titles similar to a clinical data analyst, including health data analyst, clinical data manager, clinical research data analyst, clinical informatics analyst, SQL Data Analyst, medical data analyst, clinical data specialist, or medical research data analyst, among others.

Analysts with experience in IT, engineering, management, healthcare administration, statistics, and others might consider a move into the clinical data analytics field. Other viable candidates include nurses and other healthcare professionals who seek to maintain a role in the industry but are looking for a career change.

*National long-term projections may not reflect local and/or short-term economic or job conditions, and do not guarantee actual job growth. Information provided is not intended to represent a complete list of hiring companies or job titles, and program options do not guarantee career or salary outcomes. Students should conduct independent research for specific employment information.

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What is a Clinical Data Analyst? Skills & Duties

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A clinical data analyst (or clinical informatics analyst) is a healthcare information professional responsible for verifying the validity of scientific experiments and data gathered. These data analysts ensure that processes and protocols are followed, thereby improving the quality and efficiency of care.

Clinical data analysts are the human elements in clinical business intelligence. They ensure that the appropriate information is collected for clinical trials from databases. They develop and manage databases for healthcare organizations and commonly work in a clinical setting. A clinical data analyst’s primary responsibility is to ensure that data is accurate and reliable in various organizations. Many organizations also employ an entire clinical data management (CDM) team to ensure that the information collected is free of errors, relevant, and sound.

Clinical data analysts report the results of clinical business intelligence to management, stakeholders, and other interested parties. They also coordinate with other relevant departments (e.g., clinical strategy, clinical operations) to determine the areas to be analyzed and see that appropriate measures are taken to ensure data analysis is useful.

Other responsibilities include identifying necessary resources, developing plans for data-related projects, and determining timelines and milestones. They also perform data validation, data reconciliation, and the retrieval of missing data when required. Clinical data analysts might also conduct training for technical and software programs. All in all, a clinical data analyst is at the center of data management for an organization, right from planning and execution to completion of a clinical study phase.

Clinical Data Analyst Responsibilities

Clinical data analysts have a wide variety of responsibilities to fulfill. Responsibilities include validating results and conclusions from experiments and data from research for use in clinical business intelligence systems; overseeing external and internal data management activities; and expanding or modifying the system to serve new purposes and improve workflow. They are also responsible for training the staff to work with different computer systems and programs, developing programs to collect and record data accurately, and design and test data collection systems.

Several organizations also need these professionals to analyze future and current end-user requirements to improve clinical operations; design clinical and administrative reports; develop and analyze systems for obtaining statistics from research projects; and create mechanisms for approving and distributing information.

This role is also involved in reviewing, extracting, compiling, and analyzing patient data such as coded financial and medical records. Clinical data analysts may also provide on-the-job training, undertake quality improvement initiatives, and give departmental orientations.

Clinical Data Analyst Skills & Personality Traits

The primary skills required for this role include the ability to compile, code, and categorize data. They should be proficient in Microsoft Office software such as Word, Excel, PowerPoint, and Access. They may be skilled in other clinical data management software. Knowing how to analyze data must keep all medical, financial, and legal information confidential.

Additionally, these professionals have strong interpersonal and communication skills. They tackle complex situations involving physicians, patients, and other personnel. They are also adept at juggling multiple priorities and exploring innovative solutions to problems. Creative thinking, an eye for detail, working independently, and a positive attitude are also essential prerequisites for this job.

Clinical Data Analyst Education & Experience

Clinical data analysts should have at least two years of medical experience, preferably working with data. Education requirements include a bachelor’s degree in healthcare information management, statistics, computer science, or another relevant field.

However, a master’s degree may lead to better prospects for applicants with less experience. Applicants also benefit from voluntary certification from the American Health Information Management Association (AHIMA) , which demonstrates commitment, knowledge, and skills.

How to Become a Clinical Data Analyst

There are several steps towards becoming a successful clinical data analyst. The below outlines a common educational and career path.

Earn a bachelor’s degree (four years)

A bachelor’s degree program in health information management focuses on both healthcare as well as information technology. Courses include record management, computer technology, health information systems, and medicine. Some employers may also accept a bachelor’s degree in health management and computer science.

Gain work experience (two years or more)

After completing a bachelor’s degree, candidates must obtain a minimum of three years of statistical data analysis experience. They can work in hospitals, clinics, pharmaceutical companies, or clinical research facilities. This experience helps candidates develop project management skills. They also learn how to use information technology for creating statistical models.

Earn certification through the American Health Information Management Association (AHIMA)

There are several voluntary certifications available through AHIMA. For example, the Certified Health Data Analyst (CHDA) credentialing exam is open to candidates who meet one of the following conditions:

• Hold AHIMA’s RHIT certification and three years of relevant experience
• Have a bachelor’s degree and three years of relevant experience
• Have a master’s in health information management (or health informatics) from an accredited school
• Have a master’s (or higher) degree and one year of healthcare data work experience

Complete a master’s degree (optional, two years)

While a master’s degree is not a mandatory requirement, many employers prefer candidates to have an advanced degree in healthcare informatics or a related field, especially those seeking management roles. Possible areas of study include clinical research administration , health informatics , healthcare innovation , bioinformatics , and biotechnology .

Clinical Data Analyst Work Settings & Salary

Jobs in clinical data analysis are expected to become more common as digital medical records increase. In general, the organizations that employ the skills and competencies of clinical data analysts are colleges and universities, hospitals and clinics, pharmaceutical and biotechnology companies, clinical research facilities, government departments, and other healthcare facilities.

Clinical data analysts also provide accurate information to the management within health analytics or insurance companies. They can also work for healthcare associations, medical facilities, and physicians.

The salaries of clinical data analysts can vary depending on multiple factors, such as their level of experience, education, their role within an organization, work location, and many other factors. Clinical data analysts with more experience typically have better pay.

The US Bureau of Labor Statistics (BLS) does not have occupational data for clinical data analysts. Still, it shows that operations research analysts in a similar position make median salaries of $84,810 per year ( BLS May 2019). As for work settings, according to the BLS (2020), finance and insurance companies are the top employers (28 percent) of operations research analysts, with professional, scientific, and technical services close behind (23 percent).

BLS data contrasts somewhat with PayScale (2021), a self-reported aggregator of salaries. PayScale shows an entry-level analyst with less than five years of experience is expected to earn an average of $69,853. One with mid-career experience (five to ten years) is expected to make an average of $58,000 per year.

Similarly, a clinical data analyst with ten to 20 years of experience is expected to earn an average of $75,000 per year. Predictably, clinical data analysts aiming for higher earnings can become clinical data managers , who report higher median salaries of $77,213 annually.

The cost of living in a particular area is an essential factor that could account for these vast gaps in salary data. The Missouri Economic and Information Center (MERIC 2021) provides a cost of living index for the United States, which helps job seekers calculate average annual salary data and compare the overall cost of living. To this point, the BLS (2019) shows that four of the top-paying states for operations research analysts (New Jersey, Washington D.C., New York, Virginia, and Rhode Island) were also in the MERIC index of the top 10 most expensive places to live in the USA.

Other factors contributing to salary differences include years of experience, level of education, and professional certification.

Farheen Gani

Farheen Gani has written many how-to career, online program, and scholarship guides related to master of healthcare administration degrees since 2018. Some guides she has written include online healthcare management programs, master's in regulatory science programs, and health administration scholarships. She writes about healthcare, technology, education, and marketing. Her work has appeared on websites such as Tech in Asia and Foundr, as well as top SaaS blogs such as Zapier and InVision. You can connect with her on LinkedIn and Twitter (@FarheenGani).

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Every day, health organizations like hospitals, clinics, and physician offices collect data about their patients. This information is used to make data-driven decisions in order to provide the highest level of care to their patients as well as reduce expenses and errors. From the outcome of a particular treatment to a large-scale clinical trial, health data is a critical part of the modern healthcare process. Clinical data analysts help to make sense of the extensive data that is at their fingertips, creating stories that turn numbers into actionable intelligence to improve healthcare outcomes.

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This article explores research and development in the context of greater healthcare expenditures, including looking into the main drivers of healthcare spending, influences on pricing, and where R&D fits into the whole ecosystem.

What is a Clinical Data Analyst? Role, Skills, & Duties

With the increasing prevalence of technology and data in medicine, there’s a rising need for clinical data analysts – professionals that transform data and can bridge the gap between medical care and analytics solutions.

Read on for a more detailed explanation of its roles and skills.

What is a Clinical Data Analyst?

A clinical data analyst is a professional who processes, interprets, and analyzes healthcare data to identify patterns or trends.

What Are Some Clinical Data Analyst Roles?

Clinical data analysts are often responsible for electronic health records and for developing predictive models that can anticipate future health problems before they occur.

Clinical Data Analyst Skills

Clinical data analysts must have a solid understanding of medical knowledge, clinical study statistics, and information technology.

1. Data Analysis

2. programming, 3. healthcare domain knowledge, 4. problem-solving.

They should have strong problem-solving abilities to develop creative solutions. Such problem-solving skills are used for clinical data analysis when looking at complicated clinical studies.

5. Communication Skills

Clinical data analyst qualifications.

For those with an advanced degree, such as an MBA or a Master’s in healthcare informatics, it may also be preferred.

Job Responsibilities of a Clinical Data Analyst:

They should possess advanced coding skills to create data collection, analysis, and visualization software programs.

How to Find Opportunities as a Clinical Data Analyst?

Tips on preparing for interviews as a clinical data analyst:, benefits of being a clinical data analyst:, related questions, what qualifications are needed to become a clinical data analyst,  what can i expect from a career as a clinical data analyst, final thoughts.

Google Data Analytics Certificate

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Certifications

Certified Health Data Analyst (CHDA ® )

Online Proctored Exam Now Available

Candidates   located in the United States will now have the choice to take their certification exam at a Pearson VUE authorized test center, or online with OnVUE in the comfort of their home. Visit our webpage  to learn more about remote exam test taking. 

Eligibility Requirements

Candidates must meet  one  of the following eligibility requirements to sit for the CHDA examination:  

• Hold an RHIT® or RHIA® credential; or 
• Bachelor's degree or higher degree from an accredited college or university 

While not required, the following are recommended: 

• Minimum of 3 years of healthcare data experience 
• Experience in data acquisition, data analysis, data management, data interpretation and reporting, and data governance

Get Prepared

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• Non-member price: $329 ( Learn more about the benefits of AHIMA membership )
• Member price: $259

About the CHDA Exam

Certified professionals and pass rates .

As of 12/31/2023, there were 321 certified CHDA professionals.

* U.S. and Canada results only  

Exam Specifications 

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Information Analytics

Research Data Analyst 1

Stanford University is seeking a Research Data Analyst 1 to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers.

Duties include:

• Collect, manage and clean datasets.
• Employ existing tools to interpret, analyze, and visualize multivariate relationships in data.
• Create databases and reports, and perform basic statistical analyses appropriate to data and reporting requirements.
• Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
• Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
• Analyze data processes in documentation.
• Collaborate with research staff on data collection and analysis methods.
• Provide documentation based on audit and reporting criteria to investigators and research staff.
• Communicate with government officials, grant agencies and industry representatives.

* - Other duties may also be assigned.

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• Substantial experience with MS Office and analytical programs.
• Strong writing and analytical skills.
• Ability to prioritize workload.

PHYSICAL REQUIREMENTS*:

• Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
• Occasionally use a telephone.
• Rarely writing by hand.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

Work will performed in a person in an office setting.

WORK STANDARDS:

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu .

The expected pay range for this position is $64,480 to $97,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

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Research Data Analyst 1 - 132092

Job description, #132092 research data analyst 1.

This is a 100% Contract position for 12 months with the possibility of extension or conversion to career status, based on the needs of the department and availability of funding.

DESCRIPTION

Under direct supervision, the incumbent will provide data management and analytic support for projects aimed at examining the intersection of undergraduate student identity, experience, and learning in STEM.

Main duties and responsibilities include participation in: 1) project coordination, including independently collecting data from various resources such as interviews, integrating and formatting large and complex datasets, and managing current datasets for multiple related on-going projects; 2) data quality control and analysis of categorical and qualitative data; 3) assist with presentation and publication of collected data, as well as participate in the writing of manuscripts and grants; 4) performs other miscellaneous duties and other responsibilities as required.

Under direct supervision, acquires skills and knowledge of professional concepts in research data analysis. Works on small projects or segments of projects with limited scope and complexity.

QUALIFICATIONS

Bachelor's degree in related area and /or equivalent experience / training. Master's degree in related area is preferred.

Acquiring knowledge of research function. Acquiring ability to perform research analysis duties. Experience in student identity in STEM especially as it relates to biology education research and practice.

Acquiring statistical analysis, systems programming, and database design skills to perform research analysis duties. Experience in basic descriptive and inferential statistics such as means, standard deviations, quartiles, t-test, ANOVA, and chi-square and reliability statistics such as Cohen's kappa.

Ability to effectively manage time and see assigned parts of projects through to completion on deadline. Proven ability to juggle multiple related projects in parallel with concurrent and staggered deadlines.

Basic consultation and communication skills. Ability to effectively communicate data and statistics to other biology education researchers and practitioners in group meeting presentations, reports, and abstracts.

Ability to perform standard, repetitive tasks at a computer. Basic knowledge of various computer platforms with experience using Mac or PC. Willingness and ability to learn new computer programs and tools as needed.

Experience with computer/word processing skills, with experience on Microsoft Word, Excel, PowerPoint, spreadsheet and database software such as JMP, R, and SPSS and citations databases in Endnote.

Excellent written communication skills, with the ability to clearly communicate ideas in writing, prepare reports, and assist in writing and editing professional manuscripts for publication.

Experience in performing statistical analyses of categorical and qualitative data.

Demonstrated organizational and project coordination skills, including ability to work independently, determine appropriate priorities, and complete projects accurately, efficiently, and with a high level of attention to detail.

Demonstrated knowledge of the application of basic multivariate statistics.

Willingness and demonstrated ability to embrace and consistently uphold the principles of community for a collaborative work environment.

Excellent interpersonal skills with the ability to foster a good working relationship with a wide variety of people, including staff, faculty, and students, using tact, diplomacy, confidentiality and flexibility.

SPECIAL CONDITIONS

Occasional evenings and weekends as needed.

Background check required.

Pay Transparency Act

Annual Full Pay Range: $63,800 - $111,600 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $30.56 - $53.45

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).

If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.

To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community .

UC San Diego is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

For the University of California’s Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20 For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination

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Posted : 9/9/2024

Job Reference # : 132092

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Career Path: How to become a Clinical Research Analyst

Clinical Research Analysts play an essential role in all forms of medical research including early and late phase clinical trials. They bring in their medical and scientific knowledge, analytical abilities, and research expertise to the job. Clinical research analysts works on medical research projects designed to evaluate the safety and efficiency of drugs , medical devices, or work towards understanding the biological processes in the human body.

Job Roles of Clinical Research Analyst:

The work arena of clinical research analysts is very wide, and the role can differ from company to company and from industry to the academia. Clinical research analysts work very closely with physician investigators or researchers who manage the clinical research. Clinical research analysts may also work close to the quality assurance department.

Job Responsibilities of Clinical Research Analyst:

• Coordinate and take part in clinical research studies performed by a supervising doctor to make sure that subject treatment offered by primary care staff and data obtained conform to study protocol; monitor subjects for inclusion in study based on pre-specified requirements; manage stock of unique drugs and materials required for study; offer basic patient care and treatment as requested by doctor.
• Acquire patient blood samples, cultures, tissues and other samples for laboratory study; begin drug orders and laboratory research for subjects dependent on standing protocol orders. Deliver direction and instruction to nursing team on methods for blending and providing new drugs and other types of patient care and treatment unique to the study being performed; manage interface with nursing and other specialized personnel to interpret protocol application for a given subjects and to answer queries about the research in progress.
• Consult with subjects and visiting medical professional to describe objective of study and get written consent for subjects to take part; describe diagnostic processes and method of therapy to lessen patient and family concern.
• Collect information and details from subject charts and records, patient meetings and other sources; assess and understand gathered data and prepare protocol conclusion forms, statistical reports and examines setting forth development, adverse trends and proper suggestions or conclusions.
• Consult with physician in establishing plans and protocols for clinical research studies and to discuss the interpretation of outcomes and the preparation of manuscripts for publication.
• Examine journals, abstracts and clinical literature to keep updated of new advancements and to get details pertaining to earlier studies to help in the planning of new studies.

Education and Training Required becoming a Clinical Research Analyst

To work as clinical research analyst, you will require at least an undergraduate degree in medical sciences, nursing or life sciences. It is highly suggested to have a graduate degree, as it can enable you to be eligible for more high level roles, a better pay grade and benefits over other job applicants.

Most companies look for trained professionals for clinical trial analyst position. Training usually consists of exposure to general procedural methods, in-depth knowledge regarding clinical research process, introduction to clinical research protocols, and guidelines established by various regulatory authorities to perform clinical trials. Enrolling in a clinical research training program to obtain formal certification is highly recommended.

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My journey as a Research Analyst Intern with DARE UK

Stepping into the Unknown

My first day at DARE UK was filled with excitement and curiosity, as well as an awareness of the scale and significance of the programme. While I was confident in my data analysis skills, the sensitive data research landscape was entirely novel to me. I realised that this domain required not only technical expertise but also a deep understanding of the infrastructure and stakeholders that shape data research systems. This challenge was both daunting and thrilling. In the early weeks, I immersed myself in evaluating the DARE UK Phase 1 Infrastructure Landscape Reviews. This involved a comprehensive assessment of outcomes and learnings from the previous landscape reviews to inform the 2024/25 landscape review planning, and I had to engage with various stakeholders to gather insights. Initially, the complexity of the landscape was overwhelming. However, through stakeholder meetings and constant learning, I began to understand the interconnectedness of the elements within the landscape.

As the internship progressed, I engaged with key stakeholders, which included members of the DARE UK delivery team and the UKRI programme board. Gathering feedback from stakeholders with different expertise and understanding required strong communication skills and an ability to extract meaningful insights. The experience was invaluable, as it compelled me to adapt my data-driven mindset to a more people-focused approach. By actively listening and incorporating their feedback into the evaluation process, I produced a comprehensive evaluation report that reflected the needs of all parties involved.

One of my first challenges was navigating the sheer volume of acronyms and specialised terms. Terms like “Interoperability”, “Trusted Research Environment”, and “Data Federation” were new to me, but with time, I became fluent in this language, which was critical for engaging meaningfully with the delivery team. Also, I realised that I needed to understand not just the data itself but how it is shared, governed, and used for public benefit. This was a steep learning curve, but it was also a breakthrough moment. By adapting my approach and collaborating closely with the DARE UK delivery team, I found that my data analysis background was highly relevant in identifying gaps and proposing actionable improvements.

Breakthrough Moments and Learning Opportunities

Midway through the internship, I was tasked with developing a set of survey questions for the landscape review, which would shape the objectives for the next landscape review. This was a pivotal moment for me. I had to think strategically, balancing technical requirements with the practicalities of data research infrastructure. I collaborated closely with the DARE UK team to ensure the questions aligned with programme goals while being robust enough to guide the upcoming and future reviews. One of the major breakthroughs in my learning came during this phase when I developed a Gantt chart to manage the 2024/2025 landscape review project. This tool not only helped me visualise project timelines and milestones but also showcased how my project management skills could translate into impactful contributions.

Moreso, I encountered challenges during the development of surveys for stakeholder feedback, which turned into valuable learning experiences. Initially, I planned to use Qualtrics but faced limitations with the number of questions allowed. I pivoted to Microsoft Forms, but its branching logic lacked the complexity I needed. Finally, I developed the survey questions using SurveyMonkey, which provided the necessary flexibility. This journey helped me explore and understand each tool’s unique strengths and limitations, broadening my skills and adaptability in survey development.

In addition, designing a structured report template to capture the findings of the landscape review was another learning opportunity. The challenge here was balancing technical detail with clarity, ensuring that the final report would be a valuable tool for decision-makers. The satisfaction of creating a versatile report template that will be used in the next landscape review was a testament to my growth in this role.

Reflecting on My Growth

By the end of my internship, I realised how far I had come as I had not only contributed to the success of the landscape review planning but also grown significantly as a professional. From deciphering data research acronyms and terminologies to overcoming technical challenges in survey development, I had grown in both my technical skills and my understanding of data research. I learned how to apply my data analysis skills to health data research, gained a deep understanding of the UK data research landscape, and developed strategic planning and stakeholder engagement skills.

Looking Forward: A New Passion for Health Data Research

This internship has been a transformative experience, introducing me to the world of sensitive data research, where data isn’t just numbers but a tool to improve public health outcomes. I leave with a renewed passion for this field and a clearer vision for my future career. The challenges I faced, from understanding complex infrastructures to engaging with diverse stakeholders, have not only made me a better Data Analyst but also equipped me to contribute meaningfully to health data research in the future.

Working with DARE UK has deepened my passion for data research and its potential to drive public good. I’m proud to have contributed to the programme’s vision of building a coordinated, trustworthy national data infrastructure. Through this experience, I have expanded my skillset and ignited my interest in pursuing further opportunities within the UK data research space. I’m immensely grateful to the DARE UK team for their support, mentorship, and belief in my abilities, and I’m excited to see where this journey takes me.

• VYNE Therapeutics-stock
• News for VYNE Therapeutics

Buy Rating Affirmed for VYNE Therapeutics Amid Promising Early Data for VYN202

H.C. Wainwright analyst Joseph Pantginis maintained a Buy rating on VYNE Therapeutics ( VYNE – Research Report ) today and set a price target of $5.75.

Joseph Pantginis has given his Buy rating due to a combination of factors surrounding the potential of VYNE Therapeutics’ drug candidate VYN202. Following the announcement of positive Phase 1a single ascending dose (SAD) data in healthy volunteers, the drug has shown promise, particularly with its strong specificity for the BD2 domain of BRD4. The positive results in tolerability and the absence of serious adverse events or drug-related adverse events at all dose levels, alongside the drug meeting expected pharmacokinetic parameters, contribute to the positive outlook. Additionally, preliminary data suggest biological activity and an inhibitory effect on inflammatory biomarkers, which are pertinent to conditions like psoriasis and rheumatoid arthritis.

Moving forward, with the multiple ascending dose (MAD) portion of the study underway and results anticipated in the fourth quarter of 2024, there is a clear path for continued development. The potential expansion into Phase 1b trials for moderate-to-severe plaque psoriasis and rheumatoid arthritis, with top-line results expected in the second half of 2025, further solidifies the drug candidate’s prospects. Pantginis believes that the early positive data de-risks future clinical development and suggests significant clinical and value-generating potential for VYN202, which supports his Buy rating on VYNE Therapeutics’ stock.

Pantginis covers the Healthcare sector, focusing on stocks such as Lexicon Pharmaceuticals, Lisata Therapeutics, and Rigel. According to TipRanks , Pantginis has an average return of -4.2% and a 34.33% success rate on recommended stocks.

TipRanks tracks over 100,000 company insiders, identifying the select few who excel in timing their transactions. By upgrading to TipRanks Premium, you will gain access to this exclusive data and discover crucial insights to guide your investment decisions. Begin your TipRanks Premium journey today.

VYNE Therapeutics (VYNE) Company Description:

Menlo Therapeutics Inc. operates as biopharmaceutical company which is focused on the development and commercialization of serlopitant for the treatment of pruritus, or itch, associated with dermatologic conditions such as atopic dermatitis, psoriasis and prurigo nodularis. The company was founded in October, 2011 and is headquartered in Redwood City, CA.

Read More on VYNE:

• VYNE Therapeutics Announces Positive Phase 1a SAD Data for VYN202, a Novel BD2-Selective BET Inhibitor
• VYNE Therapeutics announces results from Phase 1a SAD trial for VYN202
• VYNE Therapeutics sees cash runway through end of 2025
• VYNE Therapeutics reports Q2 EPS (22c) vs. ($3.09) last year
• VYNE Therapeutics Reports Second Quarter 2024 Financial Results and Provides Business Update

VYNE Therapeutics News MORE

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The "Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act" requires UCLA (as an institution of higher education receiving federal financial aid) to report specified crime statistics on college campuses and to provide other safety and crime information to all current and prospective students and employees. The Annual Security and Fire Safety Report is available on the UCLA Police Department website. If you would like a paper copy of the report, you may contact the Clery Coordinator via email at [email protected] or by phone at (310) 893-9147

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