1+ months

Senior Computational Geneticist

Cambridge, MA 02139
Apply Now
Apply on the Company Site

Pfizer's Rare Disease Research Unit (RDRU) is dedicated to the development of novel therapeutics for orphan diseases. The recent and rapid emergence of large databases of genotype/phenotype data has led to many new and exciting opportunities for human genetics to advance rare disease drug development projects. The RDRU Integrative Biology team is searching for a computational geneticist with a deep passion for extending our understanding of the genetics of rare disease and translating these insights into novel therapeutics. As a member of our Integrative Biology team located in Cambridge, Massachusetts, you will be responsible for designing and delivering analyses that incorporate both proprietary and public genetics and other 'omics datasets for target discovery and target validation. You will work with laboratory biologists, computational biologists, geneticists, and statisticians within the RDRU and across the broader Pfizer community in a highly collaborative environment to deliver impactful and actionable insights from human genetics. A successful candidate will also be comfortable working with external collaborators from industry and academia to advance our understanding of the genetics of rare disease.


+ Apply principles of human medical and population genetics to inform project teams of therapeutic opportunities and potential safety liabilities of targets relevant to key strategic areas in the RDRU

+ Provide quantitative genetics expertise and understanding of functional genomics to conduct reproducible analyses to aid in the identification of novel therapeutic targets, to validate therapeutic hypotheses and to forward mechanistic understanding of disease pathogenesis and causal pathways

+ Serve as genetics lead for the RDRU by collaborating with internal partners in statistics, bioinformatics, computational biology and research project leaders to drive quantitative genetic data analysis and data integration and to incorporate novel or emerging genetic methodology

+ Stay current with genetics literature and conferences to identify and incorporate new discoveries of potential interest to the research unit

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

+ Synthesize and clearly communicate study findings and analyses with to a diverse audience of internal partners, leadership, administration, and collaborators

+ Manage, support and promote relationships with the external community that can add value to target selection and validation for the RDRU


+ Background in biological and/or quantitative sciences; PhD in genetics, statistical genetics, or a related field with 0-3 years relevant experience

+ Sound statistical and quantitative skills with knowledge of epidemiological principles and population-based research.

+ Familiarity with WGS/WES analysis, variant annotation and key genetics databases such as gnomAD

+ Proficiency in programming, scripting, querying and statistical analysis languages such as R, Python, Perl, SQL

+ Proficiency in standard methods for reproducible research such as Jupyter notebooks or Rmarkdown

+ Deep desire to understand biological and pathological processes that lead to human disease

+ Excellent communication, interpersonal, and presentation skills


+ Background in human biology/medicine with some knowledge of pathophysiology in the areas of neurologic, hematologic or metabolic disease is highly preferred

+ Understanding of methodology specific to the genetics of rare disease

+ Track record of innovative and impactful research in genetics including peer-reviewed publications

+ Experience analyzing large genetics datasets and integrating additional data types to further clinical and biological understanding

+ Experience analyzing data from at least one other 'omics technology such as transcriptomics, proteomics, lipidomics, metabolomics or epigenomics

+ Ability to multi-task and prioritize amongst competing time-sensitive projects

+ Strong desire to continually learn new skills



Ability to perform mathematical calculations, ability to perform complex data analysis

**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

N (Other) (United States of America)

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Posted: 2019-08-26 Expires: 2020-02-27

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Senior Computational Geneticist

Cambridge, MA 02139

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast