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.
ROLE RESPOSIBILITIES
- 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.
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 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
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.
Relocation support available
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 | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
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.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations 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, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
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.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected] . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
Research and Development
Skills Required
- PhD in Computational Biology or related field
- Masters in Computational Biology with 2 years experience
- Experience with single-cell/NGS and functional genomics data analysis
- Hands-on experience developing Nextflow pipelines
- Strong full-stack programming skills in Python
- Excellent communication and collaboration skills
Pfizer Compensation & Benefits Highlights
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Parental & Family Support — U.S. materials describe up to 26 weeks of parental leave (including up to 12 paid non‑medical weeks), with phased return‑to‑work plus fertility, adoption, and surrogacy financial support, backup care, lactation support, and caregiver leave. These offerings indicate depth in family‑building benefits and day‑to‑day caregiver resources.
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Healthcare Strength — Core programs commonly include medical, prescription drug, dental, vision, mental‑health/EAP resources, disability insurance, preventive health programs, and free or reduced‑cost vaccinations. Voluntary Benefit Extras and wellness resources broaden coverage and access.
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Retirement Support — Career pages and postings note a 401(k) with company matching plus an additional company retirement savings contribution in some plans. Company materials also reference financial‑planning education and colleague‑directed retirement funds.
Pfizer Insights
What We Do
Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.
Why Work With Us
We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.







