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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

$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 ...

Norstella

Director, Data Science

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 passion for ...

Fujifilm

Senior Counsel

$185K - $200K/yr

... Science/Pharma companies to minimize risks of legal liability and ensure maximum legal rights of ... semiconductors and data storage. With roots in photosensitive materials and a legacy of ...

Fujifilm

Senior Counsel

$185K - $200K/yr

... Science/Pharma companies to minimize risks of legal liability and ensure maximum legal rights of ... semiconductors and data storage. With roots in photosensitive materials and a legacy of ...

FUJIFILM Biotechnologies

Senior Counsel

$142K - $194K/yr

... Science/Pharma companies to minimize risks of legal liability and ensure maximum legal rights of ... semiconductors and data storage. With roots in photosensitive materials and a legacy of ...

Inizio

OR

Master's degree in a quantitative field (e.g., data science, statistics, mathematics, engineering, or related) * 4-6 years of experience in analytics or data science, including 2+ years in pharma or ...

Inizio Engage

Senior Data Scientist

Master's degree in a quantitative field (e.g., data science, statistics, mathematics, engineering, or related) * 4-6 years of experience in analytics or data science, including 2+ years in pharma or ...

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Data Science Pharma information

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$37.5K

$122.7K

$196.5K

How much do data science pharma jobs pay per year?

As of Jun 8, 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 May 2026, with employment types broken down into 10% Full Time, and 90% Part Time. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data engineer + life-science & Pharma background is a must

Infodyne Solutions

South San Francisco, CA • On-site

$137K - $165K/yr

Other

Posted 10 days ago

Job description

Data engineer with a life-science & Pharma background is a must

Duration: 8-12+ months long-term

work location: South SFO, Bay Area with 3 days work from office.

  • 10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration
  • Hands on expert experience in the AWS Data Engineering Tech Stack: S3, Glue, Airflow, SQL, Python, PySpark, Lambda, RDS, Redshift, EMR, and API Gateway
  • Detailed experience with data modeling and data integration (ETL/ELT)
  • Data Product knowledge and experience.

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