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Pharma Data Analyst Jobs in Silver Spring, MD (NOW HIRING)

rockITdata

Data & Analytics Consultant

Arlington, VA · Remote

Experience in Pharma, Biotech or Healthcare * Experience with Oracle Cerner * Experience with data ingestion, transformation or wrangling * Awareness of statistical analysis and predictive modeling ...

BullFrogAI

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $215K/yr

... analytics in pharma, biotech, or consulting • Demonstrated proficiency in Python; production-quality code in a research or commercial environment • Hands-on experience with major healthcare data ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

Exploratory Data Analysis and Visualization: * Conduct comprehensive exploratory data analysis to ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

rockITdata

Full Stack Data Scientist

Arlington, VA · On-site +1

Exploratory Data Analysis and Visualization: * Conduct comprehensive exploratory data analysis to ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

CYNET SYSTEMS

Data Architect

Arlington, VA · On-site

$60/hr

Proven experience designing secure, scalable architectures for analytics, reporting, and machine ... Experience in regulated industries (finance, healthcare, pharma) or large-scale enterprise ...

ADVI Health

Senior Data Scientist-RWE

Washington, DC · On-site

$126K - $158K/yr

... pharma clients. Job Duties • Design and execute rigorous analyses of Medicare, Medicaid, and ... are claims data to generate real-world evidence supporting HEOR, value, and market access ...

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All JobsPharma Data Analyst JobsPharma Data Analyst Jobs in Silver Spring, MD

Pharma Data Analyst information

See Silver Spring, MD salary details

$35.2K

$85.6K

$140.9K

How much do pharma data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for pharma data analyst in Silver Spring, MD is $85,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $100,500.00 per year, depending on experience, location, and employer.

What are some typical challenges Pharma Data Analysts face on the job?

Pharma Data Analysts often work with large, complex datasets from clinical trials and real-world evidence, which can present challenges in data integration, cleaning, and ensuring data quality. Additionally, analysts must stay current with evolving industry regulations and standards for data reporting, such as those from the FDA or EMA. Collaborating across different departments—such as clinical research, regulatory affairs, and biostatistics—requires strong communication skills and adaptability. These challenges offer opportunities to develop advanced technical expertise and deepen understanding of drug development processes.

What are the key skills and qualifications needed to thrive in the Pharma Data Analyst position, and why are they important?

To thrive as a Pharma Data Analyst, you need strong analytical skills, a background in life sciences or related fields, and proficiency in statistics and data interpretation. Familiarity with tools such as SQL, SAS, Python, or R, as well as experience with clinical trial databases and certifications like SAS Certified Specialist, are often expected. Excellent attention to detail, effective communication, and the ability to work collaboratively across multidisciplinary teams are valuable soft skills. These competencies ensure accurate analysis and reporting, drive data-driven decisions, and support regulatory compliance in the pharmaceutical industry.

What does a pharmaceutical data analyst do?

A pharmaceutical data analyst collects, manages, and analyzes data related to drug development, clinical trials, and market performance to support decision-making. They use statistical tools and software to identify trends, ensure data accuracy, and generate reports for researchers and management. Strong analytical skills and knowledge of databases and data visualization are essential in this role.

Is 40 too late for data science?

For a Pharma Data Analyst, starting a career in data science at age 40 is feasible, especially with relevant skills in statistics, programming, and data management. Many professionals successfully transition into data roles later in life by gaining certifications and practical experience, making age less of a barrier in this field.

Will AI replace a data analyst?

AI is unlikely to fully replace a Pharma Data Analyst, as the role requires interpreting complex data, understanding industry-specific context, and making strategic decisions that AI cannot fully replicate. Instead, AI tools are expected to augment analysts' capabilities, automating routine tasks and enabling more focus on analysis and insights. Developing skills in data visualization, statistical methods, and AI tools can enhance job performance in this field.

What does a Pharma Data Analyst do?

A Pharma Data Analyst collects, processes, and interprets data related to pharmaceuticals, including clinical trials, sales, and market trends. They use statistical tools and data visualization techniques to identify patterns and insights that support decision-making in drug development, regulatory compliance, and business strategy. Their role helps improve patient outcomes, optimize drug production, and drive business growth.

How to become a pharma data analyst?

To become a pharma data analyst, typically a bachelor's degree in fields like statistics, biology, or data science is required. Developing skills in data analysis tools such as Excel, SQL, and statistical software, along with knowledge of the pharmaceutical industry, is essential. Gaining experience through internships or entry-level roles can also improve job prospects.
What are popular job titles related to Pharma Data Analyst jobs in Silver Spring, MD? For Pharma Data Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Pharma Data Analyst jobs in Silver Spring, MD look for? The top searched job categories for Pharma Data Analyst jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Pharma Data Analyst jobs? Cities near Silver Spring, MD with the most Pharma Data Analyst job openings:
Pharma Data Analyst jobs near you
Infographic showing various Pharma Data Analyst job openings in Silver Spring, MD as of July 2026, with employment types broken down into 66% Full Time, 10% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $85,431 per year, or $41.1 per hour.
Principal, Commercial Life Sciences Solutions

Principal, Commercial Life Sciences Solutions

Datavant

Washington, DC

Full-time

Posted 3 days ago

Datavant rating

7.0

Company rating: 7.0 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

155th of 230 rated it services

Job description

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.
By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.

What We're Looking For

The Principal, Commercial Life Sciences Solutions is responsible for helping Life Sciences customers understand, design, and adopt high-value data connectivity solutions across commercial, medical, market access, and real-world data use cases.

You will serve as a senior commercial pharma subject matter expert and pre-sales solutioning partner for Datavant's Life Sciences business. In this role, you will partner closely with Sales, Solutions Consulting, Product, Partnerships, Customer Success, Privacy, Legal, and Delivery teams to shape customer strategy, scope complex opportunities, and translate business needs into clear, executable Datavant solutions.

This role is highly customer-facing and requires deep understanding of how pharmaceutical organizations use data to support therapy adoption, launch planning, market access, patient and provider insights, medical affairs, HEOR, omnichannel engagement, healthcare marketing, and real-world evidence generation. You will help Datavant's commercial teams win and expand strategic Life Sciences accounts by bringing domain expertise, solution strategy, executive presence, and practical knowledge of privacy-preserving data connectivity.

Responsibilities of the Role

  • Serve as a senior commercial pharma subject matter expert for Datavant's Life Sciences go-to-market team, with a focus on pre-sales solutioning, customer discovery, and strategic opportunity development.
  • Partner with Client Partners, sales leaders, and solutions consultants to shape customer conversations across commercial analytics, market access, patient services, healthcare marketing, and digital/ad tech use cases.
  • Lead discovery with pharmaceutical customers to understand their business objectives, stakeholder priorities, available data assets, privacy requirements, operational constraints, and desired outcomes.
  • Translate customer goals into Datavant solution strategies that leverage privacy-preserving linkage, tokenization, data connectivity, real-world data partnerships, and health data exchange infrastructure.
  • Design and communicate solution approaches for use cases such as patient journey analytics, launch planning, commercial analytics aggregation, adherence and persistence insights, market access evidence, medical affairs insights, provider targeting, omnichannel measurement, and privacy-preserving media activation.
  • Help customers understand how Datavant can connect internal and external data assets across the healthcare ecosystem to create more complete, actionable views of patients, providers, products, and markets.
  • Build executive-ready narratives that articulate the business value, feasibility, privacy posture, implementation path, and expected impact of connected data strategies.
  • Support complex enterprise pursuits by developing solution hypotheses, shaping proposals, identifying risks, pressure-testing scope, and aligning internal teams around a credible and compelling approach.
  • Collaborate with Product and Partnerships to identify market needs, solution gaps, customer feedback, and opportunities to convert demand into scalable Datavant offerings.
  • Create reusable go-to-market assets, including solution playbooks, discovery guides, use case narratives, customer-facing materials, objection handling, case studies, and sales enablement.
  • Act as a bridge between commercial teams and technical, product, privacy, and delivery teams to ensure customer-facing solutions are compelling, credible, feasible, and operationally executable.
  • Represent Datavant in strategic customer workshops, executive briefings, industry forums, conferences, and thought leadership opportunities.
  • Stay current on trends shaping commercial pharma data strategy, including real-world data adoption, healthcare media networks, clean rooms, first-party data strategy, privacy-preserving collaboration, tokenization, AI-enabled analytics, and the evolving life sciences data ecosystem.

Qualifications of the Role

  • 10+ years of relevant experience in life sciences, pharmaceutical commercial strategy, commercial analytics, market access, healthcare data, real-world data, digital health, healthcare marketing, omnichannel marketing, or a related field.
  • Deep understanding of life sciences companies, especially biopharma organizations, and how they use data across commercial, medical, market access, analytics, and evidence generation functions.
  • Experience supporting pre-sales, enterprise solutioning, strategic consulting, customer advisory, business development, or complex commercial partnerships with pharmaceutical or healthcare customers.
  • Strong fluency in real-world data and linked data use cases, including how claims, EHR, lab, mortality, specialty pharmacy, patient services, consumer, digital engagement, and first-party enterprise data can be connected to support commercial business decisions.
  • Strong commercial instincts, including the ability to identify high-value use cases, understand buying centers, shape value propositions, support revenue growth, and help advance complex opportunities.
  • Ability to lead senior customer conversations, uncover business needs, frame solution options, and guide customers from broad ambition to concrete, executable use cases.
  • Ability to translate complex technical, data, and privacy concepts into clear business language for commercial, medical, analytics, and executive audiences.
  • Highly consultative, hands on, and collaborative, with strong ability to influence cross-functional teams.
  • Excellent communication, presentation, analytical, and organizational skills.
  • Experience with Google suite of productivity applications, including Sheets, Slides, and Docs, as well as Salesforce.com or similar CRM tools.
  • Self-motivated, able to take initiative, work efficiently and independently, and operate effectively in a fast-paced, dynamic environment.
  • Ability to travel for strategic customer meetings, workshops, and industry events.

Bonus Points If

  • You have worked directly inside, or closely alongside, a pharmaceutical commercial organization.
  • You have experience with commercial analytics, medical affairs analytics, HEOR, market access, patient services, healthcare media, ad tech, or omnichannel measurement.
  • You have sold, solutioned, or implemented enterprise data, analytics, SaaS, real-world data, or data connectivity solutions for pharmaceutical customers.
  • You are familiar with the life sciences data vendor ecosystem, including RWD providers, analytics platforms, media partners, clean rooms, agencies, and data collaboration technologies.
  • You have created scalable GTM materials such as solution playbooks, use case guides, sales enablement, customer-facing narratives, or executive thought leadership.

#LI-BC1

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. This role is eligible for additional variable compensation.

The estimated base salary range (not including variable pay) for this role is:
$193,000—$242,000 USD

To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis.

For more information about how we collect and use your data, please review our Privacy Policy.

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