Senior Manager, Data Science [T500-15696]

This is a new position . You will join the newly formed Hyderabad arm of Global Biometrics Data Science team, a cutting-edge Data Science team that has a strong track record of advancing the global drug development process at BMS. We are looking for candidates with experience in modeling complex multimodal data including clinical, imaging, unstructured text data using machine learning, deep learning, NLP, generative AI and computer vision algorithms. We are looking for hands-on technical state of the art practitioners. This is an individual contributor role. 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, modeling, and visualizing diverse, high dimensional and disparate data sets
• Develop end to end image analysis pipelines and develop deep learning models on images
• Drive the development and implementation of innovative statistical methods, novel trial designs, etc.
• Use of modern data processing learning capabilities including ML, AI, deep learning, and beyond on complex multimodal datasets
• Formulate, implement, test, and validate predictive models and implement efficient automated processes for producing modeling results at scale.
• Responsible for collaborating with and presenting results to cross-functional teams, including but not limited to, clinicians, data scientists, translational medicine scientists, statisticians, and IT professionals.
• Collaborate closely with medical professionals and clinicians to understand clinical requirements and translate them into deep learning solutions that produce actionable insights.
• Manage and coordinate limited resources to produce highest quality deliverables within timelines
• Write high-quality code with documentation and follow best practices such as version control, test-driven development and Python packaging.
• Publish research papers in top-tier conferences and journals.

• Ph.D. or Master’s in a relevant quantitative field (i.e. Computational Biology, Computational Linguistics, Biostatistics, Statistics, Computer Science, etc.)
• 7+ years of experience as a professional Data Scientist after receiving a Master and 3 year’s after receiving a Ph.D.Proficient in Python and its machine learning libraries, especially PyTorch, to design, develop, and implement deep learning models for medical image analysis
• Deep expertise in Computer Vision, Deep Learning, Transformers, Self Supervised Learning, and generative models.
• Capability to continuously track, evaluate, adapt the latest advancements in deep learning techniques and medical imaging research to benefit clinical study design and ability to deploy production grade models
• Demonstrated industry impact and track record of leading statistical innovation
• Experience developing statistical and machine learning models on high dimensional data
• Experience in applying AI/ML to data generated from clinical trials, or electronic health records and modeling methods particularly in their application to pharma R&D
• Interest in clinical trial data interpretation and drug development processes