Senior Computational Biologist

Senior Principal Computational Biologist

• 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.

Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world.

Pfizer\’s cross-functional \’omics ecosystem team is actively seeking a highly motivated, creative, and enthusiastic computational biology researcher with a strong background in data handling, integration and analysis, exceptional full-stack software engineering skills, and a sound understanding of drug discovery and biology. You will have a relevant background in the field of bioinformatics research and will play a key role in our dynamic and pioneering cross-functional team dedicated to advancing the development of a cutting-edge ‘omics ecosystem platform for Pfizer R&D. In this role, you will leverage their expertise to design innovative approaches that extract valuable insights from Pfizer\’s proprietary data and external datasets, enabling the generation of testable hypotheses across the entire drug discovery value chain.

ROLE RESPONSIBILITIES

In this role, you will work on:

Development and implementation of an omics data platform to enable efficient and scalable analysis of omics data

Development of innovative machine learning methods for omics data together with the machine learning team

Processing, analysis and integration of internal omics datasets

Curation and integration of relevant datasets from the public domain

Development of analysis pipelines

Development of a data dissemination concept for omics data

Implementation of new methods for omics data analysis and visualization techniques

Drive collaborations with external companies

Develop Pfizer omics data strategy together with other functions from the research units

Onboarding of computational biology community members to data platform and organization of workshops, hackathons, trainings and scientific talks

Strengthen external visibility and scientific excellence through publishing / presenting work in reputed journals and conference/workshop venues and engaging with the scientific community

BASIC QUALIFICATIONS

Formal training in Computational Biology, Computer Science, Biology, Physics, Statistics, or a related technical discipline

PhD >1 year of relevant research experience in developing data products and data integration solutions as well as a sincere interest for computational life sciences

In-depth knowledge in either single-cell/NGS, functional genomics, genetics or proteomics data and analysis

Highly creative person with outstanding problem-solving skills to tackle complex analysis tasks in a timely fashion

Strong full-stack developer with focus on python, in-depth database expertise with a focus on postgres, ETL frameworks. Exceptional programming skills in Python are a prerequisite. Familiarity with pertinent libraries within the Python scientific stack would be highly advantageous

Hands-on experience in handling, processing, integrating, and analyzing large heterogenous data sets data in a drug discovery research environment

Strong publication record and demonstrated contributions to the field

Passion and curiosity for data and proven ability to take ideas from prototype to production.

Strong interpersonal skills, distinct collaborative attitude, excellent written and verbal communication

PREFERRED QUALIFICATIONS

Proficiency in utilizing AI/ML libraries including PyTorch and Lightning is a plus

Experience with LLMs/RAG systems is a plus

Proven expertise in software engineering, package development, cloud architectures, CI/CD and software engineering tooling

ROLE SUMMARY

Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world.

Pfizer\’s cross-functional \’omics ecosystem team is actively seeking a highly motivated, creative, and enthusiastic computational biology researcher with a strong background in data handling, integration and analysis, exceptional full-stack software engineering skills, and a sound understanding of drug discovery and biology. You will have a relevant background in the field of bioinformatics research and will play a key role in our dynamic and pioneering cross-functional team dedicated to advancing the development of a cutting-edge ‘omics ecosystem platform for Pfizer R&D. In this role, you will leverage their expertise to design innovative approaches that extract valuable insights from Pfizer\’s proprietary data and external datasets, enabling the generation of testable hypotheses across the entire drug discovery value chain.

ROLE RESPONSIBILITIES

In this role, you will work on:

• Development and implementation of an omics data platform to enable efficient and scalable analysis of omics data

• Development of innovative machine learning methods for omics data together with the machine learning team

• Processing, analysis and integration of internal omics datasets

• Curation and integration of relevant datasets from the public domain

• Development of analysis pipelines

• Development of a data dissemination concept for omics data

• Implementation of new methods for omics data analysis and visualization techniques

• Drive collaborations with external companies

• Develop Pfizer omics data strategy together with other functions from the research units

• Onboarding of computational biology community members to data platform and organization of workshops, hackathons, trainings and scientific talks

• Strengthen external visibility and scientific excellence through publishing / presenting work in reputed journals and conference/workshop venues and engaging with the scientific community

BASIC QUALIFICATIONS

• Formal training in Computational Biology, Computer Science, Biology, Physics, Statistics, or a related technical discipline

• PhD >1 year of relevant research experience in developing data products and data integration solutions as well as a sincere interest for computational life sciences

• In-depth knowledge in either single-cell/NGS, functional genomics, genetics or proteomics data and analysis

• Highly creative person with outstanding problem-solving skills to tackle complex analysis tasks in a timely fashion

• Strong full-stack developer with focus on python, in-depth database expertise with a focus on postgres, ETL frameworks. Exceptional programming skills in Python are a prerequisite. Familiarity with pertinent libraries within the Python scientific stack would be highly advantageous

• Nextflow pipeline development

• Hands-on experience in handling, processing, integrating, and analyzing large heterogenous data sets data in a drug discovery research environment

• Strong publication record and demonstrated contributions to the field

• Passion and curiosity for data and proven ability to take ideas from prototype to production.

• Strong interpersonal skills, distinct collaborative attitude, excellent written and verbal communication

PREFERRED QUALIFICATIONS

• Proficiency in front-end technologies such as typescript, reactjs and browser-based visualization techniques is a plus

• Proficiency in utilizing AI/ML libraries including PyTorch and Lightning is a plus

• Experience with LLMs/RAG systems is a plus

• Proven expertise in software engineering, package development, cloud architectures, CI/CD and software engineering tooling

Relocation support available

Work Location Assignment:On Premise

The annual base salary for this position ranges from $135,100.00 to $225,100.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% 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.

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