ZipRecruiter

Log In

1

Data Science Pharma Jobs (NOW HIRING)

Formation Bio

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by ... About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ...

Formation Bio

Director, Data Science

Boston, NY · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... sciences (biotech, pharma, consulting) * Strong programming skills, particularly in Python

Cloud BC Labs

AWS Data Engineer

Alameda, CA · On-site

$129K - $155K/yr

AWS Data Engineer Work Location: Alameda CA Duration: Contract to hire or FTE Experience: 10 to max ... Life Science Pharma & Commercial Operations Domain Knowledge is must Expierence Range 8-12 Years ...

Genentech

Senior Data Scientist

South San Francisco, CA

$156K - $290K/yr

Provide statistical expertise and develop data science solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality ...

next page

Showing results 1-20

All JobsData Science Pharma Jobs

Data Science Pharma information

See salary details

$37.5K

$122.7K

$196.5K

How much do data science pharma jobs pay per year?

As of Jul 21, 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 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.

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Director, Data Science

Director, Data Science

Formation Bio

Boston, MA • On-site

$235K - $307K/yr

Full-time

Re-posted 4 days ago

Job description

About Formation Bio
Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.
Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others.
You can read more at the following links:
  • Our Vision for AI in Pharma
  • Our Current Drug Portfolio
  • Our Technology & Platform

At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.
About the Position
As the Director of Data Science at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives.
Responsibilities
  • Lead and execute complex data science projects that directly advance our drug development portfolio
  • Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
  • Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints
  • Aid in the development and training of AI agents to automate and optimize biomedical workflows
  • Collaborate cross-functionally with clinical, technical, and research teams
  • Present complex analytical findings to senior stakeholders, including executive leadership

About You
Required Qualifications
  • PhD in computational sciences or life sciences
  • 7+ years of post-academic experience in life sciences (biotech, pharma, consulting)
  • Strong programming skills, particularly in Python
  • Extensive experience in multi-modal bioinformatics analysis

Preferred Qualifications
  • Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases
  • Strong background in machine learning and deep learning, particularly in biological applications
  • Experience with large language models (LLM)
  • Demonstrated ability to collaborate effectively with engineering teams on production systems
  • Strong communication skills with proven ability to present complex technical findings to senior stakeholders

Total Compensation Range:$235,000 - $307,000
Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate
Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law.

Apply