Sr. Computational Biologist, Oncology Drug Discovery
USA - CA - La Jolla
ROLE SUMMARY
At Pfizer, we are developing and applying state-of-the-art computational and systematic approaches to better understand disease biology and drive drug discovery. Pfizer Oncology Computational Biology group is seeking a highly skilled and motivated bioinformatician to join a dynamic and innovative team that develops data and AI/ML solutions for oncology research and development. The successful candidate will play a key role in our discovery & translational research efforts, focusing on multi-omics data analysis and developing AI/ML models for predicting drug response and deriving novel biological and therapeutic insights. This is an exciting opportunity to make an impact at all stages of cancer drug discovery including target identification, translational research, and precision medicine in a collaborative and inter-disciplinary environment.
ROLE RESPONSIBILITIES
- Multi-omics data analysis: Utilize advanced computational techniques to analyze diverse types of omics data, including single-cell genomics and spatial transcriptomics. Apply statistical and bioinformatics methods to extract meaningful insights from data.
- AI/ML model development: Design and implement state-of-the-art machine learning and deep learning models to predict therapeutic outcome, investigate biological mechanisms and identify novel therapeutic hypotheses. Develop innovative approaches to improve model performance and interpretability.
- Data integration and visualization: Integrate and analyze diverse large-scale datasets from the in vitro, in vivo and clinical settings. Develop data visualization tools and platforms to enable data access, exploration, interpretation.
- Discovery and translational research: Collaborate with cross-functional teams of experimental and computational biologists to support technology development and perform analyses to address questions arising from drug development. Translate data and AI/ML derived hypotheses into actionable recommendations for target discovery, biomarker identification and personalized medicine.
BASIC QUALIFICATIONS
- PhD in computational biology, bioinformatics or a closely related field with several years of relevant working experience in biopharmaceutical industry or academia.
- Strong expertise in multi-omics data analysis, including genomics, transcriptomics, single-cell and spatial transcriptomics. Proficiency in relevant tools and software packages (e.g., R/Bioconductor, Python, MATLAB) is required.
- Demonstrated experience in developing and implementing AI/ML models for biomedical applications. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is highly desirable.
- Strong programming and scripting skills in languages such as Python, R, or MATLAB. Experience with high-performance computing environments and cloud-based platforms is a plus.
PREFERRED QUALIFICATIONS
- Solid understanding of statistical methods and their application to biological data analysis. Experience with statistical modeling, hypothesis testing, and data visualization.
- Excellent problem-solving and analytical skills, with a proven ability to work independently and as part of a team.
- Effective communication skills, both written and verbal, with the ability to present complex scientific concepts to diverse audiences.
- Strong publication record in peer-reviewed journals and demonstrated ability to contribute to scientific research.
- Knowledge and experience with cancer biology and/or drug discovery.
Work Location Assignment: On Premise
The annual base salary for this position ranges from $99,900.00 to $166,500.00. 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.
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.
Research and DevelopmentTags: Bioconductor Bioinformatics Biology Data analysis Data visualization Deep Learning Drug discovery Machine Learning Matlab ML models PhD Python PyTorch R Research Statistical modeling Statistics TensorFlow Testing
Perks/benefits: Career development Health care Medical leave Parental leave Relocation support Salary bonus
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