The Data Engineer will develop and manage bioinformatics pipelines optimize data processing collaborate with scientists and enhance data platforms for Pfizer's R&D.

ROLE 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 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 $106000.00 to $176600.00. 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