Biotechnology Jobs in Hyderabad – Lead Statistical Analyst | Bayer Careers

Lead Statistical Analyst



Lead programming activities to develop and validate SDTM+ and/or SDTM datasets and documentation, ADaM datasets and documentation, Tables, Listings and Figures (TLFs) for study, projects, and submissions
Create / contribute to specifications for SDTM+/SDTM datasets
Create / contribute to development and finalization of Statistical Analysis Plan (SAP) and ADaM & TLF specifications together with the statistician
Prepare for Cross-functional TLF Reviews in collaboration with study lead statistical analyst
Represent regional statistical programming team in global team meetings
Define specifications for test data entry to support program development activities and to support compliance with end to end process within a clinical study
Support programming of integrated data analysis for various purposes such as integrated analysis of safety and efficacy, value dossiers for reimbursement purposes or health economic models



Education and Experience:

MS or BS in Statistics, Mathematics, Computer Science, Natural or Environmental Sciences, Informatics, or related field or equivalent (of theoretical/technical depth)
Minimum work experience in statistical programming or statistics in the pharmaceutical or biotechnology industry: BS with six plus years of relevant experience; or MS with four plus years of relevant experience

Communication & Presentation Skills:

fluency in English required
demonstrated ability to address and resolve conflicts;
proven collaboration skills
excellent written/verbal communication

Leadership & Business Skills:

Mentor and oversee junior level analysts
Demonstrated ability to work independently and collaboratively as needed
Demonstrated project management skills within a study or across studies

Technical Skills:

in-depth knowledge of statistical programming language(s) i.e., SAS, R, SPSS, etc. required
Experience generating interactive data displays using statistical and/or visualization software or tools (ie. SAS, R, Shiny, Spotfire) is a plus.
In-depth knowledge of statistical methodology used to analyze and interpret aggregate data, i.e., the use of confidence intervals, hazard ratios, and p-values etc.

Location: Hyderabad


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