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Life Sciences Data Science Phd Jobs (NOW HIRING)

Amgen, Inc.

Data Scientist

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

Amgen

Data Scientist

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

PROPRIUS

Director Data Science

San Francisco, CA

PhD in Computer Science/related field/equivalent industry experience. * Extensive Data Science experience preferably in different environments. * Experience in building Data Science product and ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related ...

Prominence Advisors

Senior Data Scientist

Through our life sciences brands, Tegra Analytics and WLH Consulting & Learning Solutions, we ... Advanced degree (Master's or PhD) in a quantitative field such as computer science, statistics ...

MonoSol

Senior Scientist Data Science

Chicago, IL · On-site

Master's or PhD strongly preferred Experience * 5+ years of applying data science, statistics, or ... term life insurance, voluntary term life insurance, transit flexible spending account (if ...

MonoSol

Senior Scientist Data Science

Chicago, IL · On-site

Master's or PhD strongly preferred Experience * 5+ years of applying data science, statistics, or ... term life insurance, voluntary term life insurance, transit flexible spending account (if ...

MJH Life Sciences

Senior Data Analyst

Cranbury, NJ · On-site

$100K - $120K/yr

At MJH Life Sciences our success is measured by your success! If you set your standards high and ... The Senior Data Analyst will mentor junior analysts, collaborate with cross-functional teams, and ...

Amgen SA

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

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Life Sciences Data Science Phd information

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$122.7K

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How much do life sciences data science phd jobs pay per year?

As of Sep 12, 2026, the average yearly pay for life sciences data science phd 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 are popular job titles related to Life Sciences Data Science Phd jobs?

For Life Sciences Data Science Phd jobs, the most frequently searched job titles are:

Infographic showing various Life Sciences Data Science Phd job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Principal Scientist, Data Science (Data Products, Integration & Analysis)

Horsham, PA • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

Other

PTO

Posted 13 days ago

Job description

Position Summary
  • Lead design, implementation, and evolution of scientific data products and integration strategies for AI-enabled drug discovery and development.
  • Create scalable, interoperable, AI-ready data products connecting discovery, preclinical, clinical, safety, and real-world evidence.
  • Establish data architecture, integration strategy, metadata framework, and productization approach for semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI.
  • Work with scientific stakeholders, knowledge architects, AI engineers, and platform teams to deliver high-quality products supporting translational science and patient safety.
Key Responsibilities
  • Define and execute scientific data product strategy (discovery, translational science, preclinical safety, clinical development, pharmacovigilance, real-world evidence).
  • Design data integration/harmonization frameworks (SEND, SDTM, ADaM, MedDRA, Imaging, Omics, Biomarker, Pathology, real-world data).
  • Lead AWS deployment strategy; partner on pipelines/data products; ensure security/governance/AI-readiness alignment.
  • Develop curated datasets, semantic-ready data products, feature stores, metadata products, scientific data services, and AI-ready assets.
  • Define metadata standards; implement lineage/provenance/traceability and FAIR; monitoring and quality controls.
  • Build predictive AIML models for translational safety decision making.
Required Qualifications
  • Master’s or PhD in CS/Data Engineering/Bioinformatics/Biomedical Informatics/Information Systems/Computational Biology/related.
  • 5+ years in scientific data engineering/architecture/products or life sciences informatics.
  • Enterprise-scale scientific data product delivery experience.
  • Experience supporting drug discovery/development/clinical research/pharmacovigilance.
  • Experience developing predictive models in these areas.
Preferred Qualifications
  • Knowledge graphs/semantic architectures/GraphRAG; AI-ready products/feature stores; ontology-driven integration; cloud/platform partnerships; highly regulated scientific environments.
Skills (Required/Preferred listed)
  • Advanced analytics
  • critical thinking
  • data quality/analysis/reporting/visualization
  • data governance & metadata
  • data architecture/modeling/product design
  • cloud-native platforms
  • predictive model development.
Benefits (time off)
  • Vacation 120h/yr
  • Sick time 40h/yr (48h CO; 56h WA)
  • Holiday pay 13 days/yr
  • Parental leave 480h (within one year)
  • other stated leave options included.
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