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Bristol-Myers Squibb

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4.2

based on 119 Reviews

91 Bristol-Myers Squibb Jobs

Senior Manager, Data Science

BRISTOL-MYERS SQUIBB INDIA PVT.LTD.

4.2

based on 119 Reviews

2-5 years

Hyderabad / Secunderabad

1 vacancy

Senior Manager, Data Science

Bristol-Myers Squibb

posted 8hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Pharmacy Computer Science Python Healthcare Machine Learning

+ 4 more

Job Description

Sr. Manager, Data Science

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.

Data Scientists will work with senior DS leaders to extract insight from complex clinical, translational and real-world data. They will have the opportunity to work on complex data science problems including modeling techniques to interpret, infer and recommend based on insights from data.

Roles and Responsibilities:

Formulates, implements, tests, and validates predictive models and implements efficient automated processes for producing modeling results at scale.
Creates robust models based on statistical and data mining techniques to provide insights and recommendations based on large complex data sets.
Presents stories told by data in a visually appealing and easy to understand manner.
Responsible for collaborating with cross functional teams, including but not limited to, clinicians, data scientist, translational medicine scientist, statisticians, and IT professionals.
Proactively builds partnerships with specialist functions and global counterparts to maximize knowledge and available resources.

Requirements:

Ph.D. in quantitative sciences (computer science, math, statistics and engineering)
+2 years experience in healthcare or pharmaceutical is preferred but not required
Strong knowledge of programing languages, with a focus on machine learning (R, Python, Sagemaker, Tensorflow).
Ability to summarize technically/analytically complex information for a non-technical audience
Demonstrated ability to work in a team environment with good interpersonal, communication, writing and organizational skills.
Outstanding technical and analytic skills, proficient at understanding and conceptualizing business problems and implementing analytic or decision support solutions
Experience in working with popular deep learning and transformer frameworks.
Ability to code in Tensorflow or Pytorch
Experience in fine tuning LLM, developing RAGs systems, training SLM
Expertise in supervised and unsupervised machine learning algorithms
Experience in working with clinical and translational data (omics, flow cytometry and images)