1+ months

Senior Computational Geneticist

Cambridge, MA 02139
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The rapid accumulation of large-scale genetic and functional genomic datasets, and growing availability of computational methods offer new opportunities for biology-led drug discovery. There is a great need to integrate multiple sources of molecular data with clinical and disease studies for disease mechanism dissection, target identification and biomarker selection. Inflammatory and immune diseases stand out as a disease area where genetics, single-cell RNAseq, epigenetics, and proteomics have been particularly productive and helpful for drug discovery. The Inflammation & Immunology Research Unit capitalizes on the potential of these data with an embedded computational group working in close collaboration with biologists, chemists, statisticians, and clinicians, to aid all aspects of the drug discovery.

In Systems Immunology, our goal is to integrate genetic, molecular, and clinical data to construct a holistic view of pathogenic mechanisms underlying immunological diseases; and assess the potential of genes, proteins, and cells as targets of therapeutic intervention, and as biomarkers in precision medicine development.

If you are a research scientist with a passion for solving biomedical questions using complex, high-dimensional genetics datasets in conjunction with innovative methods, then the Computational Systems Immunology group is the team for you. As a Computational Geneticist, you will be an agile and core contributor in the research of impactful, data-driven problems in Pfizer's R&D organization.

Your core mission is to support our quest for better targets and precision medicine strategies at all stages of the drug discovery process in the Inflammation and Immunology unit. You will conduct integrated analyses anchored in large-scale genetics data and linking to different data modalities, e.g. transcriptomics, metabolomics, and proteomics.

The role will be in close alignment with colleagues within the Systems Immunology function as well as project teams and partner lines to inform the I&I drug discovery pipeline. We also expect the successful candidate to communicate the value and efficiency of new computational biology capabilities and research in order to advance adoption and awareness throughout R&D.

This position offers an opportunity to execute science-based drug discovery within one of the world's leading developers of human therapeutics, at the Pfizer Biomedical Institute based in the Cambridge Innovation Hub.


+ Design, conduct, and communicate quantitative analyses in human genetics and functional genomics.Work in collaboration with scientists in the Inflammation & Immunology Research Unit to translate genetic and genomic findings into impactful results, including:

- Identification and prioritization of therapeutic targets

- Review and validation of therapeutic hypotheses;

- Identification of potential disease indications and safety concerns;

- Inform patient stratification in clinical activities;

- Mechanistic understanding of disease pathogenesis and causal pathways;

- Innovative approaches to identifying mechanism related biomarkers via integrating genetics with clinical and 'omic datasets.

+ Manage, develop and maintain internal and external collaborative projects to specified timelines and milestones.

+ Communicate study findings and analyses with internal partners, leadership, administration, and collaborators.

+ Manage, support and promote relationships with the external community that can add value to target selection and validation at Pfizer.


+ Ph.D. in computational biology, bioinformatics, biostatistics, human genetics, or related disciplines. 2+ years of relevant post-graduate experience applying quantitative approaches to solving biological problems in academia or industry.

+ Expert knowledge in statistical programming languages such as R. Working knowledge of scripting languages such as python

+ Experience analyzing genetic data sets and integrating additional data types to further biological and clinical understanding.

+ Strong experience in solving challenging biological problems with a core focus on at least one modern quantitative approach, such as computational genomics, epigenetics, biological networks, single-cell and bulk sequencing approaches, translational analysis of clinical data etc.

+ Good quantitative skills, e.g. in the areas of probabilistic modelling, statistical and machine learning, Bayesian reasoning, graph-based algorithms.


+ Background in human biology/medicine, and experience with biological data and relevant public or proprietary databases relating to inflammatory or immunological diseases desirable.

+ Track record of innovative and impactful research in genetics of complex traits, including peer-reviewed publications.

+ Able to effectively interact and communicate with multidisciplinary scientists, researchers, and non-scientists- internally and externally; excellent communication, interpersonal, and presentation skills essential.

+ Experience in managing large projects, collaborations, or consortia.

+ Demonstrates ability to identify, propose and develop new analytical concepts.

+ Ability to both lead and support teams, multi-task, and prioritize amongst competing time-sensitive projects, as part of a multi-disciplinary matrix team; able to work effectively as part of a research team, while being innovative, entrepreneurial, and proactive.


**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.

**Other Job Details:**

+ Eligible for Employee Referral Bonus

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Posted: 2019-10-17 Expires: 2020-04-23

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Senior Computational Geneticist

Cambridge, MA 02139

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