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

YO AI Labs

Senior Consultant

Washington, DC

Embed analytics into day-to-day workflows through CRM and Decentralized Clinical Trial platforms. * Ensure high-quality pharma data is used to drive patient retention, access, and trial site ...

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 ...

Granules

Data Science Associate

Chantilly, VA · On-site

$65K - $68K/yr

... pharma company in the US!With our sites in Chantilly and Manassas, Virginia, we have R&D through ... Conduct exploratory data analysis to identify trends, patterns, and improvement opportunities.

BullFrogAI

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $215K/yr

... sciences analytics in pharma, biotech, or consulting * Demonstrated proficiency in Python ... Hands-on experience with major healthcare data types -- omics data required; claims and EHR ...

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 ...

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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 Aug 21, 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 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.

What are the key skills and qualifications needed to thrive as a Pharma Data Analyst?

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 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.

How to become a pharmaceutical data analyst?

To become a pharmaceutical 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 SQL, Excel, 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 August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $85,595 per year, or $41.2 per hour.

Senior Consultant

YO AI Labs

Washington, DC

Full-time

Posted 8 days ago

Job description

Role Title: Senior Consultant, Healthcare and Life Sciences

Location: Washington DC, USA

Experience: 10 - 15 Years

Role Overview: As a Senior Consultant, Healthcare and Life Sciences, you will play a pivotal role in partnering with interdisciplinary teams and Fortune 100 clients to drive AI consulting, delivery, solutioning, business growth, and client experience across multiple programs. You will also contribute to the growth of the Healthcare and Life Sciences practice. Your primary responsibility will be delivering an excellent client experience, driving superior project delivery, transforming delivery methods with GenAI, building domain capabilities with an AI focus, commercializing cross-client solution offerings, and supporting proposals and thought leadership.

Responsibilities:

  • Drive multiple projects as a billable consultant for Fortune 100 companies.
  • Deliver programs with Agentic AI transformation across Clinical, R&D, and Real World
  • Data AI initiatives such as Decentralized Clinical Trials, Digital Health, and Line of Therapy by leveraging GenAI, AI, MLOps, LLMOps, and Cloud Engineering.
  • Translate Clinical, R&D, and Real World Data business questions into clear, actionable analytics use cases.
  • Act as the liaison between data science teams and Clinical, R&D, and Real World Data leaders to ensure insights are relevant.
  • Turn complex data and model outputs into simple stories, dashboards, and recommendations for executives.
  • Embed analytics into day-to-day workflows through CRM and Decentralized Clinical Trial platforms.
  • Ensure high-quality pharma data is used to drive patient retention, access, and trial site performance.
  • Achieve high client satisfaction through delivery excellence and quality project outcomes.
  • Drive GenAI tool adoption to improve delivery efficiency by more than 30 percent.
  • Apply strong logical reasoning and structured problem-solving to analyze data, business problems, and client situations.
  • Lead daily client and account calls, representing the Pharma team and contributing to strategic discussions.
  • Drive proposal development and client presentations while contributing to business development initiatives.
  • Play an integral role in the Pharma practice by aligning AI initiatives with broader organizational goals and collaborating closely with internal stakeholders.
  • Navigate complex client ecosystems, manage senior-level stakeholder relationships, and resolve escalations effectively.
  • Build and grow long-term client relationships through effective systems, processes, and team structures.
  • Collaborate across consulting, AI, engineering, design, and other disciplines while providing guidance, support, and mentorship.
  • Develop in-depth knowledge of client priorities, challenges, and initiatives, translating them into actionable opportunities and comprehensive account plans to support Quarterly Business Reviews and Monthly Business Reviews.
  • Continuously upskill and remain agile in the evolving technology landscape.

Required Qualifications:

  • Min 5+ years of experience in Machine Learning, Artificial Intelligence, Advanced Analytics, or Generative AI solution development and deployment.
  • Knowledge of Cloud Engineering using AWS, Azure, or GCP.
  • Strong commercial acumen with excellent storytelling skills and the ability to connect client challenges with business outcomes.
  • Strong leadership skills with the ability to inspire and motivate teams.
  • Ability to work effectively in ambiguous, fast-paced, cross-functional environments.
  • Willingness to travel to client offices three days per week.
  • Demonstrated experience in complex program management, delivery oversight, and resource management.
  • Strategic mindset with the ability to drive business growth and identify expansion opportunities.
  • Experience with proposal development and client presentations is highly desirable.