Job Description
Senior BioStatistician Biomarker
Location: Hyderabad
Grade: L2-1
About the job:
Our Hubs are a crucial part of how we innovate, improving performance across Sanofi departments and providing a springboard for the amazing work we do. As a Senior Biomarker Biostatistician within our Statistics Team at Hyderabad, you will play a crucial role in developing and implementing different statistical and machine learning algorithms to solve complex problems and support our clinical biomarker data insights generation. You will work closely with cross-functional teams to ensure data is accessible, reliable, and optimized for analysis. Your expertise in omics data, machine learning, and deep learning will be essential in driving our data initiatives forward.
Main responsibilities:
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Provide high-quality input regarding TM/Biomarker aspects into the design of clinical studies, including protocol development and data capture setup, ensuring alignment with study objectives and planned statistical analyses.
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Coordinate activities of external partners and CROs for biomarker data generation, dataflow, and statistical activities.
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Perform pre-processing and normalization of biomarker data (e.g., RNAseq, scRNAseq, Olink, flow cytometry data).
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Perform and/or coordinate with the programming team the production of derived variables, documentation, and quality control plans.
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Oversee execution of statistical analyses according to the SAP, prepare statistical methods, and provide statistical insights for clinical study reports (CSRs) and publications, ensuring compliance with internal standards and regulatory guidelines.
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Propose, prepare, and perform exploratory biomarker data analyses and ad-hoc analyses as relevant for study or project objectives.
About you:
Experience:
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2+ years (Master) or 1+ years (PhD) of pharmaceutical or related industry experience.
Soft and Technical Skills:
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Basic knowledge of pharmaceutical clinical development.
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Good knowledge and understanding of key statistical concepts and techniques, particularly high-dimensional statistics.
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Proficiency in handling complex biomarker data (e.g., RNAseq, scRNAseq, Olink, flow cytometry data); knowledge of pathway-level and network analyses is a plus.
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Ability to work in departmental computing environments, perform advanced statistical analyses using R, R-Shiny, and possibly other languages (Python, C++).
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Strong interpersonal and communication skills to work effectively in cross-functional and global team settings.
Education:
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Master’s or Ph.D. in Data Science, Bioinformatics, Statistics, or a related field.
Languages:
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Excellent communication in English, both oral and written.
Pursue progress, discover extraordinary:
Sanofi believes in equal opportunities for all, regardless of origin, race, beliefs, gender, sexual orientation, age, citizenship, marital status, disability, or gender identity. Explore more about our Diversity, Equity, and Inclusion initiatives at sanofi.com.
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