• Pfizer Canada
  • $86,853.33 -150,310.00/year*
  • Cambridge , MA
  • Scientific Research
  • Full-Time
  • 101 Auburn St

Role Description

Responsible for evaluating/developing/implementing novel statistical methodologies for analyzing and drawing inferences from high dimensional data , e.g. genetics, genomics, transcriptomics and proteomics , and for quantitatively integrating internal data with results from literature in order to inform decisions on target prioritization and identify patient subpopulation.

Responsibilities could be any of the following:

  • Lead to develop and apply new statistical and computational methods integrating multiple data sources, e.g. Electronic Health Record data, self-reported data, clinical endpoints and biomarker data.
  • Evaluate or develop novel statistical methods of using high dimensional data for hypothesis generating and testing in the settings of drug discovery. Topics include exploring the genetic associations of disease progressions; investigating the association of loss-of-function genetic variants with EHR in large-scale sequencing datasets; using Bayesian techniques to characterize the distributions of true genetic effect sizes in GWAS or developing new statistical model for analyzing longitudinal omics data to evaluate drug effects using clinical data.
  • Integrate genetics/omics across clinical trials in order to make inferences related to personalized medicine, using appropriate meta-analysis techniques.
  • Present novel scientific findings at both internal and external meetings and publish them in peer-reviewed journals in order to support internal decision making on drug targets and precision medicine efforts and to increase influence on the external environment.
  • Qualifications

  • PhD in Statistical Genetics,genetic epidemiology, computational biology or related field such as Quantitaive Genomics, Applied Mathematics, Statistics, Physics or Population Genetics/Genomics, with demonstrated experience analyzing high dimensional data.
  • Management and analysis of large genetic studies and sequence-based analysis.
  • Proficiency in running simulations, mixed models and advanced statistical inferences.
  • Familiarity/expertise in meta-analysis and potential issues surrounding combining results from different studies, both from a design perspective and in terms of subject ascertainment.
  • Knowledge of modern statistical methods of utilizing summary statistics.
  • Experience of analyzing NGS data such as WES and RNAseq data.
  • Understanding of the value of Bayesian methods to scientific research.
  • Demonstrated strong communication skills, both oral and written.
  • Demonstrated ability to work effectively as a part of a team.
  • Technical Skill Requirements

  • Must have R and Python/Perl/Shell programming skills and familiarity with a Linux/UNIX environment, experience with C/C will be helpful.
  • Knowledge of GWAS statistical genetics software (PLINK/MaCH/SHAPIT/IMPUTE2/etc.), and awareness of the latest techniques in NGS analysis and other bioinformatics tools will be a plus.
  • 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.

    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.

    Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

    Associated topics: biostatistics, data analyst, probability, statistics, c

    * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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