Full-Time Senior Manager Data Scientist

• Develop and apply novel computational methods for patient segmentation.
• Partner with statisticians in writing and executing protocols and statistical analysis plans (SAP) for biomarkers.
• Execute biomarker analyses on datasets from BMS clinical trials and real-world data cohorts.
• Perform relevant and innovative statistical analyses of high-dimensional data.
• Contribute to the scientific and statistical strategy of drug development.
• Optimize and validate biomarker assays for clinical trial usage.
• Develop, implement, and apply state-of-the-art algorithms to address key business problems.
• Formulate, implement, test, and validate predictive models.
• Collaborate with cross-functional teams.

• Ph.D. in a relevant quantitative field and 1+ years of experience or Master’s Degree and 3+ years of experience.
• Strong experience in the analysis of data generated by one or more -omics or molecular assays is required.
• Knowledge of molecular biology and understanding of disease pathways are preferred.
• Experience in biomarker data analysis with data generated from clinical trials, or electronic health records.
• Experience in the application of AI/ML, and proficient in SQL, Python, and R and cloud platforms.
• Experience developing statistical and machine learning models on high dimensional and high throughput data.
• Perspective in leveraging innovative approaches to expedite drug development.
• Strong problem-solving and collaboration skills.
• Excellent communication, data presentation, and visualization skills.

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