Senior Manager - Data Science

Key Skills

Java Programming, Python Programming, SQL, Natural Language Processing (NLP), R Programming

Job Description

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

This is a new position. You will join a new cutting-edge Data Science team to advance the global drug development process. We are looking for candidates with experience modeling complex clinical, real-world data (RWD) using the classical ML algorithms, latest NLP techniques/algorithms as well as Deep Learning. Also, there is opportunity to do Image Analysis, Operations Optimization, and Biosensor Data Processing Algorithms. We are looking for hands-on technical state of the art practitioners.

What you’ll do:

• Work with stakeholder to develop, implement and apply state-of-the-art algorithms to address key business problems
• Develop novel ways of integrating, mining, and visualizing diverse, high dimensional and disparate data sets
• Drive the development and implementation of innovative statistical methods, novel trial designs, etc.
• Drive translation of digital health analytics; use of modern data processing learning capabilities including ML, AI, deep learning, and beyond.
• Formulate, implement, test, and validate predictive models and implement efficient automated processes for producing modeling results at scale.
• Responsible for collaborating with cross-functional teams, including but not limited to, clinicians, data scientists, translational medicine scientists, statisticians, and IT professionals.
• Manage and coordinate limited resources to produce quality deliverables within timelines for competing priorities.

Key Requirements:

• Ph.D. in a relevant quantitative field (i.e. Computational Biology, Computational Linguistics, Biostatistics, Statistics, Computer Science, etc.) and 10+ years of relevant experience
• 1+ years of experience as a professional Data Scientist after receiving a Ph.D.
• Mastery in data analysis with data generated from clinical trials, or electronic health records and modeling methods particularly in their application to pharma R&D Experience in the application of AI/ML, and proficient in SQL, Python, and R and cloud platforms
• Significant industry and track record of leading statistical innovation
• Experience developing statistical models and classical machine learning on high dimensional data for time to event data and longitudinal outcomes
• Perspective in leveraging innovative approaches to expedite drug development and address the complexities of emerging data
• Experience with NLP is highly preferred
• Experience with Survival Analysis is highly preferred
• Experience in working with different causal ML and explainable AI is highly preferred
• Experience in working with genomics, Flow Cytometry and immunobiology datasets is highly preferred