Data Engineer - Computational Biology

Pfizer • Cambridge, MA

10d • $106,000 - $176,600 • Hybrid

About The Position

You will apply strong bioinformatics and cloud engineering practices to develop, operationalize and evolve production bioinformatics pipelines to deliver reliable data products for our Pfizer R&D research units. You will be a key contributor to a dynamic and pioneering team dedicated to advancing a cutting‑edge omics ecosystem platform for Pfizer R&D. You will leverage your expertise to design innovative approaches that extract valuable insights from Pfizer’s proprietary and external datasets, enabling the generation of testable hypotheses across the entire drug discovery value chain.

Requirements

• PhD in Computational Biology, Biology, Physics, Statistics, or a related technical discipline
• Masters in Computational Biology, Biology, Physics, Statistics, or a related discipline and a minimum of two years of experience developing data products and data integration solutions in a research or industry environment
• Single‑cell/NGS, functional genomics, genetics, or proteomics data analysis experience
• Hands‑on experience developing Nextflow pipelines for processing NGS data
• Strong full‑stack programming skills with a focus on Python
• Experience solving complex analyses/problems in a timely fashion
• Excellent communication and collaboration skills with experience working effectively in cross-functional teams

Nice To Haves

• Background or demonstrated interest in life sciences, pharmaceutical research, drug discovery, or bioinformatics.
• Proven expertise in software engineering best practices, including python package development, DevOps, cloud architectures, CI/CD, and engineering tooling
• Hands‑on experience handling, processing, integrating, and analyzing large heterogenous data sets data in a drug discovery research environment
• Experience with Claude Code or equivalent
• Strong publication record with demonstrated contributions to the field

Responsibilities

• Developing, deploying, and operating production‑grade Nextflow pipelines on cloud infrastructure, ensuring scalable and reproducible execution.
• Owning pipeline lifecycle management, including upgrades, troubleshooting, performance tuning, and reliability improvements for reusable workflows.
• Implementing DevOps best practices for pipelines and platform services (e.g., CI/CD, automation, and engineering tooling).
• Partnering with wet‑lab and research scientists to translate data analysis requirements into robust, production‑ready pipeline and platform solutions.
• Developing and evolving an omics data platform that enables efficient, scalable processing and delivery of omics datasets as reliable data products.
• Driving collaborations with external partners and vendors to strengthen pipeline quality, sustainability, and adoption of best practices.

Benefits

• 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
• Paid vacation, holiday and personal days
• Paid caregiver/parental and medical leave
• Health benefits to include medical, prescription drug, dental and vision coverage
• Relocation support available

What This Job Offers

• Job Type: Full-time
• Career Level: Senior