Data Engineer - Computational Biology

United States - Massachusetts - Cambridge We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place. To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals. Pfizer Research & Development serves as the beating heart of Pfizer's trailblazing product pipeline, the essence of our mission to bring life-changing medicines to the world. Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.

ROLE 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 a genomics 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.

BASIC QUALIFICATIONS

PhD in Computational Biology, Biology, Physics, Statistics, or a related technical discipline. Masters in Computational Biology, Biology, Physics, Statistics, or a related technical 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.

PREFERRED QUALIFICATIONS

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 heterogeneous data sets in a drug discovery research environment. Experience with Claude Code or equivalent. Strong publication record with demonstrated contributions to the field.

WORK LOCATION

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

PAY & BENEFITS

The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long‑term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 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, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits.

ADDITIONAL INFORMATION

Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. #J-18808-Ljbffr Pfizer, S.A. de C.V