This role is onsite/Hybrid Bothell, WA

ROLE SUMMARY:

We are looking for a Senior Computational Biologist to join our team in Pfizer's Oncology Research Unit to apply bioinformatics and computational biology approaches to analyze, interpret and explain complex pre-clinical research data. An ideal candidate should be proficient in bulk RNA-Seq and mass spectrometry data analysis, statistics, in vitro screening and in vivo study design and analysis. Comfort working with messy data, but a passion for FAIR data is a must.

ROLE RESPONSIBILITIES:

• Use RNA-seq and other omic modalities (e.g., proteomics, metabolomics, genetics, spatial transcriptomics, single-cell perturbation, epigenetics, etc.) to deliver target insights and portfolio impact.

• Work in close partnership with lab-based biologists, computational biologists and bioinformaticians, machine learning scientists, statisticians and digital/IT staff.

• Lead internal and external efforts to understand the tumor intrinsic and tumor microenvironment mechanisms contributing to drug sensitivity and resistance.

• Drive internal teams toward the quantitative evaluation of such information for rational drug development; from in silico to in vitro to in vivo to elucidate drug efficacy and toxicity.

BASIC QUALIFICATIONS:

• Ph.D. in Biological Sciences, Molecular Biology, Biochemistry, Computational Biology, or related field required; 5+ years relevant experience applying quantitative approaches to generate and address biological questions, preferably in a pharmaceutical, biotech or comparable context.

• Proficient in the use of state-of-the-art tools for genomic data analysis, integration and visualization and have a solid understanding of the principles and assumptions underlying their analytical approaches.

• Solid understanding of statistics, statistical approaches, and their underlying assumptions.

• Ability to effectively collaborate with non-computational biologists to communicate/discuss results, hypotheses, and follow-up experiments.

• Strong skills in R and Shiny application development.

• Experience with FAIR data principles and data management practices.

• Curiosity and initiative

PREFERRED QUALIFICATIONS:

• In vivo study design and analysis.

• Experience with co-fractionation mass spectrometry.

• Experience and strong understanding of drug additivity models.

• Preclinical oncology drug development.

• Experience applying AI/ML methods to data analysis

• Experience coding in R, Python, and other languages

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 Development