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Data Science Pharma Jobs (NOW HIRING)

TekShapers

Senior Data Scientist

Raritan, NJ · On-site

Experience in the pharma domain is a strong advantage. Required Qualifications Overall 10-12yrs and ... Higher education (e.g., Master's degree in Computer Science, Information Technology, Data Science ...

Norstella

Senior Data Scientist

The Team Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a ...

Merck Group

Data Scientist

Rockville, MD · On-site

$95K - $142K/yr

Your Role As a Data Science Expert, you combine advanced data science and business analytics ... Life Science or Pharma industry. * Proficient in Python, SQL, and predictive machine learning ...

New

IQVIA

Information Advisor, Large Pharma

Wayne, PA

$111K - $349K/yr

Master's in Data Science, Health Informatics, Life Sciences, or relatedfield(MBA/PhDa plus). * 10+years in healthcare/pharma data and analytics, with at least 5 years in consulting / client facing ...

IQVIA

Information Advisor, Large Pharma

New Providence, NJ · On-site

$111K - $349K/yr

Master's in Data Science, Health Informatics, Life Sciences, or relatedfield(MBA/PhDa plus). * 10+years in healthcare/pharma data and analytics, with at least 5 years in consulting / client facing ...

IQVIA, Inc.

Information Advisor, Large Pharma

Wayne, PA · On-site

$111K - $349K/yr

Master's in Data Science, Health Informatics, Life Sciences, or related field (MBA/PhD a plus). * 10+ years in healthcare/pharma data and analytics, with at least 5 years in consulting / client ...

IQVIA

Information Advisor, Large Pharma

Durham, NC · On-site

$111K - $349K/yr

Master's in Data Science, Health Informatics, Life Sciences, or relatedfield(MBA/PhDa plus). * 10+years in healthcare/pharma data and analytics, with at least 5 years in consulting / client facing ...

IQVIA

Information Advisor, Large Pharma

Wayne, PA

$111K - $349K/yr

Master's in Data Science, Health Informatics, Life Sciences, or relatedfield(MBA/PhDa plus). * 10+years in healthcare/pharma data and analytics, with at least 5 years in consulting / client facing ...

IQVIA

Information Advisor, Large Pharma

Durham, NC

$111K - $349K/yr

Master's in Data Science, Health Informatics, Life Sciences, or relatedfield(MBA/PhDa plus). * 10+years in healthcare/pharma data and analytics, with at least 5 years in consulting / client facing ...

Formation Bio

Senior Data Scientist

New York, NY · On-site

$177K - $232K/yr

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by ... Lead and execute complex data science projects that directly advance our drug development portfolio

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Data Science Pharma information

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How much do data science pharma jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science pharma in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is data science in the pharmaceutical industry?

Data science in the pharmaceutical industry involves using advanced analytics, machine learning, and statistical methods to analyze complex data sets related to drug discovery, clinical trials, and patient outcomes. Data scientists in pharma help accelerate drug development, optimize clinical study designs, and identify new therapeutic targets by extracting meaningful insights from large volumes of biological and medical data. Their work improves decision-making, reduces costs, and ultimately leads to more effective treatments for patients.

What does a data science pharma do?

A data science professional in the pharmaceutical industry analyzes large datasets to identify patterns, support drug development, and improve patient outcomes. They use statistical methods, machine learning, and data visualization tools to inform decision-making and optimize research processes.

What is the difference between Data Science Pharma vs Data Analyst Pharma?

AspectData Science PharmaData Analyst Pharma
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; knowledge of programming languages like Python or RBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and basic analytics tools
Work EnvironmentDeveloping predictive models, machine learning, advanced analytics in pharmaceutical R&D and marketingData reporting, visualization, and basic analysis to support decision-making in pharma companies
Employer & Industry UsagePharmaceutical companies, biotech firms, healthcare analytics providersPharmaceutical companies, healthcare organizations, research institutions

Data Science Pharma professionals focus on advanced analytics, machine learning, and predictive modeling to drive innovation in pharma. Data Analysts Pharma handle data reporting and basic analysis to support operational decisions. Both roles are essential but differ in complexity and technical requirements.

How does a data scientist in the pharmaceutical industry typically collaborate with cross-functional teams during drug development projects?

Data scientists in pharma regularly work alongside clinical researchers, biostatisticians, regulatory specialists, and product managers to analyze complex datasets from clinical trials and real-world evidence. They translate data-driven insights into actionable recommendations that guide decision-making throughout the drug development pipeline. Effective communication and teamwork are essential, as data scientists must both understand scientific objectives and explain analytical findings to colleagues from diverse backgrounds. This collaborative environment fosters innovation and ensures that data-driven approaches contribute meaningfully to advancing new therapies.

Do pharmacy companies hire data scientists?

Yes, pharmacy companies often hire data scientists to analyze clinical data, optimize drug development, and improve patient outcomes. These roles typically require skills in statistical analysis, machine learning, and programming tools like Python or R, and may involve working with large healthcare datasets in a regulated environment.

What are the key skills and qualifications needed to thrive as a data scientist in the pharmaceutical industry, and why are they important?

To thrive as a Data Scientist in pharma, you need a strong background in statistics, machine learning, and domain knowledge in biology or chemistry, usually backed by an advanced degree in a quantitative field. Familiarity with tools like Python, R, SQL, and experience with clinical trial data systems or bioinformatics platforms is commonly required. Strong analytical thinking, collaboration, and the ability to communicate complex data insights to multidisciplinary teams are vital soft skills. These capabilities are crucial for extracting meaningful insights from complex biomedical data, supporting evidence-based decision-making, and driving innovation in drug development.
More about Data Science Pharma jobs
What cities are hiring for Data Science Pharma jobs? Cities with the most Data Science Pharma job openings:
What states have the most Data Science Pharma jobs? States with the most job openings for Data Science Pharma jobs include:
What job categories do people searching Data Science Pharma jobs look for? The top searched job categories for Data Science Pharma jobs are:
Data Science Pharma jobs near you
Infographic showing various Data Science Pharma job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Scientist I, Data Science

Sail Biomedicines

Cambridge, MA • On-site

$130K - $170K/yr

Full-time

Re-posted 11 days ago

Job description

The Position
Join our team and drive the future of programmable eRNATM therapeutics and In Vivo CAR-T therapies- where AI-driven biology, targeted delivery systems and next-generation immunotherapy converge to redefine what's possible for patients. As a key member of the Sail Biomedicines Data Science team, the Senior Scientist I will operate at the interface of platform and program, applying data-driven approaches to champion broad platform efforts and hands-on analysis of preclinical datasets to transform the treatment landscape for autoimmune diseases, and beyond.
The ideal candidate will combine strong biological insight with quantitative rigor, applying data-driven approaches to extract actionable understanding from complex preclinical and platform datasets while helping establish scalable computational foundations for future discovery efforts. In addition to supporting in vivo CAR immunology programs, this role will contribute to emerging capabilities in systems modeling, computational protein design, molecular modeling, and AI/ML-enabled therapeutic engineering.
Partnering closely with experimental scientists, you will spearhead efforts to translate platform and program data into actionable understanding of biology, enabling rapid iteration across our therapeutic learning cycle.
Responsibilities
  • Perform in-depth analysis of preclinical and platform datasets, including immunophenotyping, functional assays, and multi-omics data to support both therapeutic programs and platform development
  • Integrate and interpret data across studies and contexts to generate biological insights that inform CAR activity, persistence, immune dynamics and platform-level understanding of our therapeutics
  • Collaborate closely with immunology and platform teams to inform experimental design and interpret results
  • Work resourcefully with internal/external datasets to contextualize findings and strengthen conclusions
  • Apply statistical and systems modeling to develop deeper understanding of product and platform attributes and performance.
  • Apply and promote best practices in data structuring, annotation, and metadata usage to enable reliable, scalable and reusable downstream analysis across programs and platform efforts
  • Develop and maintain reproducible analysis workflows, with clear documentation and version control (Git) and contribute to a well-organized data environment by following FAIR-aligned practices in day-to-day work
  • Communicate findings clearly with collaborators through visualizations, presentations, and written summaries

Qualifications
Required:
  • Ph.D. in Computational Biology, Bioinformatics, Systems Biology, Biophysics or related field
  • 3+ years of experience analyzing multifaceted biological datasets in biotech, pharma, or academia
  • Firsthand experience working in CAR-T or RNA therapeutics.
  • Demonstrated experience applying modeling (statistical, system) to biological data.
  • Strong expertise in high-dimensional data analysis (e.g., RNA-seq, single-cell, in vivo studies) with the ability to transform raw data to refined downstream biological interpretations
  • Proficiency in Python and/or R, with strong data analysis and visualization skills and a firm grasp of modern statistics (mixed models, Bayesian methods, etc.)
  • Experience building reproducible and well-documented analysis workflows (Nextflow, Snakemake) and applying sound data organization and metadata practices
  • Demonstrated ability to champion cross-functional efforts in close collaboration with experimental scientists, taking ownership and driving insights even in areas outside your core subject matter expertise

Preferred:
  • Computational design of Antibody/VHH/scFv/CAR proteins
  • Experience in immunology, cell therapy, or CAR biology, particularly in vivo systems
  • Experience integrating complex datasets and cross-study meta-analysis
  • Exposure to cloud-based or collaborative data environments
  • Track record of impactful scientific contributions (publications or program support)

About Sail Biomedicines
Sail Biomedicines is building a new class of fully programmable medicines by integrating circular RNA (eRNA™), targeted nanoparticle delivery, and advanced computational approaches. Our platform enables the systematic design and optimization of therapies, unlocking new possibilities across immunology and beyond.
Salary Range: $130,000 - $170,000
Sail Biomedicines is an Equal Opportunity Employer. Sail does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, national origin, veteran status, or any other status protected under federal, state, or local law.

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