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Manager Translational Biomarker Biostatistics

4.00 to 6.00 Years   Chennai   27 Apr, 2023
PFIZER LIMITED
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryPharma / Biotech
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    locations India - Chennai time type Full time posted on Posted 29 Days Ago job requisition id hidden_mobile ROLE SUMMARYThis position is for a biomarker statistician in the Translational Biomarker Statistics (TBS) team which is under the Statistical Research and Data Science Center (SRDC) within the Global Biometrics and Data Management (GBDM) organization in Pfizer Global Product Development (GPD). In this role, the biomarker statistician provides technical support in terms of experimental design, data analysis, output generation and statistical interpretation of biomarker data from late phase oncology clinical trials and external collaborations projects. The biomarker statistician works independently with Translational Oncology (TO) leads to deliver analytical support for biomarker data sets informing clinical trials and testing research hypotheses. Skill sets required for this role include fundamental knowledge of statistical analysis and design, demonstrated ability to create computational tools for data analysis and visualization, familiarity with modern multi-dimensional omics data technologies and basic understanding about use of biomarkers in clinical contexts.ROLE RESPONSIBILITIES
    • Collaborate with various GPD scientists in the design, analysis and reporting of biological and omics data from target identification, assay development and exploratory biomarkers from late phase clinical oncology programs
    • Build tools and pipelines for both scientists and statisticians to perform routine analyses, to report and visualize data and to support large-scale omics data analysis
    • Collaborate with TO leads and clinicians in the design, analysis and reporting of multi-dimensional biomarker data in late phase clinical trials, including assistance with visual summarization, interpretation of results, writing of the biomarker Statistical Analyses Plans to enable objective decision-making for each clinical program
    • Defines and evolves best practices across the group and partners with ORU, Business Technology (BT) and bioinformatics experts to align approaches, develop best practices and assess and develop new technology
    • Collaborate with research unit scientists in the design, analysis and reporting of genetics and omics analyses to enable robust decisions to be made from our clinical trial data
    • Partner closely with Clinical Teams, Statistics, BT and TO functions to identify, pilot and incorporate new bioinformatics tools to support clinical trials
    • Bring innovative statistical thinking including Bayesian thinking in oncology research through presentations, short courses, and collaboration
    • Represent statistics function on cross-line teams
    This is an individual contributor role.BASIC QUALIFICATIONS
    • Masters or Ph.D degree in Statistics, Biostatistics, Bioinformatics, Computational Biology, Statistical Genetics, Data Science or other related field
    • Atleast 4 years of business experience (prior biomarker experience a plus, but not an expectation); and an open and curious mindset to be willing to handle big data (genomic data).
    • Strong Programming skills in R (preferred) or SAS with expertise in big data, data visualization and web based applications.
    • Understand the value of working on a diverse team and delivering results on time
    • Excellent oral and written communication skills
    Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Medical #LI-PFE,

Keyskills :
equal employment opportunitybig datadata sciencedata analysisdata managementclinical trialstechnical supportassay developmentdata visualizationproduct developmentexperimental designbusiness technologystatistical analysiscomputational biology

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