2 days ago
Cambridge, MA, USASenior
Base Salary
$106k - $177k/yr
Responsibilities
- Develop, support, and implement a scalable modern data platform for correlation and analysis of biologics data.
- Develop data products, machine learning methods, and agentic AI analysis pipelines for biologics research.
- Curate and integrate public-domain, proprietary, and external datasets.
- Implement, test, validate, and deploy data products, analysis methods, and visualization techniques.
- Enhance data capture, metadata tagging, governance, validation, and storage strategies with Pfizer’s Digital organization.
- Collaborate with external companies and academic institutions.
- Onboard colleagues and organize workshops, hackathons, trainings, and scientific talks.
- Publish and present work through scientific journals, conferences, workshops, and other research venues.
Requirements
- PhD in Biology, Chemistry, Physics, Statistics, or a related technical discipline, or a master’s degree plus 2 or more years of experience building AI-powered research applications.
- Strong background in data handling, integration, and analysis.
- Thorough understanding of drug discovery and biology, particularly peptides and antibodies.
- Research experience developing data products and data integration solutions in life sciences.
- Experience with LLMs, agentic AI, and MCP/RAG systems.
- Exceptional Python programming skills and strong full-stack development experience focused on Python and SQL.
- In-depth database expertise and understanding of ETL frameworks and data warehouse technologies.
- Experience with data governance rules and data validation.
- Strong communication skills and ability to communicate with scientists across diverse areas of expertise.
- Preferred proficiency in front-end technologies and browser-based visualization.
- Preferred expertise in software engineering, package development, cloud architectures, CI/CD, and software engineering tooling.
- Preferred Nextflow pipeline development experience.
- Preferred knowledge of Linux systems, containerization technologies, HPC environments, and Python scientific libraries.
- Preferred experience processing and analyzing large heterogeneous datasets in drug discovery research.
- Preferred experience with Claude Code or equivalent agentic coding paradigms.
- Preferred ability to communicate complex technical work through publications, presentations, or detailed documentation and take prototypes into production.
Benefits
- Hybrid work arrangement requiring residence within commuting distance and on-site work an average of 2.5 days per week or more as needed.
- Participation in Pfizer’s Global Performance Plan and share-based long-term incentive program.
- 401(k) plan with Pfizer matching contributions and an additional Pfizer retirement savings contribution.
- Paid vacation, holidays, personal days, caregiver/parental leave, and medical leave.
- Medical, prescription drug, dental, and vision coverage.
- Relocation assistance may be available based on business needs and eligibility.
Categories
About Pfizer
Pfizer is a publicly traded biopharmaceutical company that discovers, develops, manufactures, and markets prescription medicines and vaccines for patients, healthcare systems, and governments worldwide. Its portfolio spans oncology, vaccines, immunology, and rare disease, with products such as the COVID-19 vaccine (with BioNTech) and the antiviral Paxlovid. Founded in 1849 and headquartered in New York City, Pfizer operates globally under the ticker PFE on the NYSE.