Data Engineer – Computational Biology; Senior Associate

Position Summary

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 contribute to the development and operation of bioinformatics pipelines and data products, working closely with senior scientists and engineers to advance 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.

• Contribute to the development, deployment, and operation of production‑grade Nextflow pipelines on cloud infrastructure, ensuring scalable and reproducible execution.
• Support pipeline lifecycle management, including upgrades, troubleshooting, performance tuning, and reliability improvements for reusable workflows.
• Learn and apply Dev Ops best practices for pipelines and platform services (e.g., CI/CD, automation, and engineering tooling).
• Work with wet‑lab and research scientists, with guidance from senior team members, to translate data analysis requirements into robust, production‑ready pipeline and platform solutions.
• Develop and evolve an omics data platform that enables efficient, scalable processing and delivery of
  * omics datasets as reliable data products.
• Participate in collaborations with external partners and vendors to strengthen pipeline quality, sustainability, and adoption of best practices.
• Help support the user community by answering questions, documenting workflows, and sharing best practices.

• MS in Computational Biology, Biology, Physics, Statistics, or a related technical discipline, or BS with 2+ years of relevant research experience developing data products and data integration solutions.
• Single‑cell/NGS, functional genomics, genetics, or proteomics data analysis experience.
• Hands‑on experience with workflow tools such as Nextflow, or a strong interest in developing this expertise.
• Proficiency in Python and familiarity with software development practices.
• Experience troubleshooting technical problems and learning new analytical approaches.
• Excellent communication and collaboration skills.
• Experience working effectively in cross‑functional teams.

• Background or demonstrated interest in life sciences, pharmaceutical research, drug discovery, or bioinformatics.
• Exposure to software engineering best practices, including python package development, cloud computing environments, CI/CD, and engineering tooling.
• Hands‑on experience handling, processing, integrating, and analyzing large heterogeneous data sets in a drug discovery research environment.
• Interest in using AI‑assisted coding tools to improve development productivity.

This is a hybrid role requiring the employee to live within commuting distance and work on‑site an average of 2.5 days per week or more as needed.

Annual base salary ranges from $82,700.00 to $. The position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 10.0% of the base salary. Benefits include:

• 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:
  
  medical, prescription drug, dental and vision coverage.
• Relocation assistance may be available based on business needs and/or eligibility.

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. Those laws require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, reimbursement of recruiting expenses for licensed physicians may constitute a…