Associate Director, Computational Biomarker Statistician

Cambridge, Massachusetts
Closing date
Feb 14, 2023

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Science, Mathematics and Statistics, Pharmaceutical
Full Time
Organization Type
Jobseeker Type

This role is for a biomarker statistician in the Discovery Genomics and Precision Medicine Statistics group which explicitly supports Precision Medicine (PM) in Early Clinical Development (ECD). The groups' responsibilities encompass all clinical programs in the East Coast Research Units (RUs) including Internal Medicine, Inflammation and Immunology, Rare Disease, and the Center for Therapeutic Innovation (CTI). Biomarker statisticians in this team will work collaboratively across research, technical, and clinical teams to deliver analytical and computational support for high dimensional biomarker data sets informing early clinical trials.

The individual in this role must communicate effectively with PM scientists and clinicians and collaborate with colleagues within a matrix organization. They must leverage technical and scientific information from a variety of sources in order to effectively enable data analysis and the scientific interpretation of analysis results, which in turn will be used to drive program decisions.

Skill sets required for this role include fundamental knowledge of statistical analysis (including linear mixed models, survival analysis, meta-analysis, dose-response modeling, etc.) and design, demonstrated ability to create computational tools for data visualization, familiarity with modern multi-dimensional genomic data technologies, and the ability to execute pathway analyses from the results of these types of data.

  • Collaborate with Precision Medicine (PM) scientists and clinicians in the design, analysis, and reporting of multi-dimensional biomarker data in early clinical trials, including assistance with visual summarization and interpretation of results, all done to enable objective decision-making for each clinical program.
  • Defines and evolves best practices across the group and partners with Research Unit, Business Technology (BT), and partner line bioinformatics experts to align approaches, develop best practices and assess and develop new technology.
  • Responsible for ensuring high-quality data analysis is incorporated into clinical exploratory-research programs in an objective fashion, facilitated by contribution of Exploratory Analysis Plans and summary of results, in partnership with other team members.
  • Collaborate with research unit scientists in the design, analysis and reporting of genetics and 'omics analyses to enable decisions on target selection and prioritization.
  • Partner closely with RUs, Clinical Teams, Statistics, BT and PM functions to identify, pilot, and incorporate new bioinformatics tools to support clinical trials.

  • PhD or equivalent in statistics, computational biology, bioinformatics or related disciplines with minimum of 5+ years of work experience in industry.
  • At least 3 years' experience applying statistical methods to the prospective design and analysis of scientific and/or clinical problems. Pharmaceutical or biotech applications desired.
  • Programming skills in R (preferred) or SAS, with expertise in big data and data visualization.
  • Working knowledge of high dimensional exploratory biomarker platforms (e.g. transcriptomics.)
  • Strong knowledge and understanding of statistical analytical methods that can be applied to genetics and omics data analysis.
  • Strong understanding of early phase clinical study design principles including power and sample size calculations.
  • Experience writing clinical biomarker SAPs
  • Experience with principles of simulation, bootstrapping and permutation testing in a multidimensional modeling setting.
  • Experience working in a regulatory clinical setting.
  • Expertise analyzing linear mixed models.
  • Expertise with exposure/response modeling.
  • Demonstrated ability to develop, influence, and champion biomarker analysis strategies with scientific team audiences and management.
  • Excellent interpersonal and verbal and written communication skills; ability to clearly convey statistical principles and results to non-experts. Experience presenting to multi-disciplinary scientific audiences.
  • Demonstrated ability to manage projects independently, including working with other lines to prioritize tasks and gain consensus on deliverables.
  • Demonstrated ability to understand and act upon strategic imperatives of organization and partner lines.

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

  • Eligible for Employee Referral Award
  • Eligible for Relocation Package


Relocation assistance may be available based on business needs and/or eligibility.


Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.

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.


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