Senior Manager, Medical Analytics

2 weeks ago

Hyderabad, Telangana, India Bristol Myers Squibb Full time

Working with Us
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.

Summary : We are seeking an experienced Senior Manager for Data Science to join an exceptional team that creates advanced analytical solutions to support Global Medical Affairs at Bristol Myers Squibb. This position will provide hands-on data science and deep machine learning engineering support and leadership for an end-to-end ecosystem of solutions for global medical evidence generation, stakeholder engagement, and scientific launch readiness insights. Specifically, this role will manage a team of Data Scientists who will code, validate, and test deep machine learning and/or simulation models, and develop apps to allow users to interact with these models.

Roles & responsibilities

Manage a sub-team of 5-8 Data Scientists to develop robust and scalable deep machine learning (ML) and/or simulation models. Supervise deliverables, ensuring timely completion, high quality, and stakeholder acceptance. Identify and bridge knowledge/data gaps in the medical domain. Innovate problem-solving approaches to streamline work and prototype AI solutions to showcase advancements. Model factors like changes in medical communication network dynamics, perceptual shifts, and scientific impact. Analyze textual data (incl. internal & external medical science reports) to assess quality and support solution framing. Develop deep ML models to monitor medical advancements, clinical practice changes, and shifting sentiment. Extract insights from scientific publications, real world data, medical congress documents, and social media. Continuously monitor and evaluate the performance of deep learning models, including validation of all ML models. Engage key stakeholders to understand their needs and translate them into technical specifications. Align closely with the US-based team and project leaders on priorities, project planning and management. Work closely with data scientists and domain experts to ensure compatibility of ML solutions with other tools. Work with IT as needed on data management and infrastructure related to medical analytics solutions. Support the deployment of medical analytic solutions, striving for seamless integration with existing systems. Develop UI apps to allow stakeholders to effectively interact with new insight generation platforms. Collaborate with IT to optimize data pipelines and establish efficient data management practices. Document solution specifications (e.g., architecture, data flows, algorithms) to ensure transparency / reproducibility.

Skills and competencies

Technical Proficiency: Statistical methods applied machine learning, NLP, and LLM methodologies, including text classification, entity recognition, and sentiment analysis, focusing on medical applications. Programming Skills: Advanced Python, adept in NLP libraries (e.g., NLTK, SpaCy, Transformers) and ML frameworks (PyTorch, TensorFlow). Data Analytics: SQL/no-SQL databases, data querying, preprocessing, visualization, and analytics for complex datasets. Problem-Solving: Excellent at crafting efficient algorithms and code for medical analytics challenges. Communication: Clear communication of technical concepts to non-experts.

Experience

Bachelor's or master's degree in computer science, Engineering, Computational Linguistics, Applied Math, Bio Informatics, Operations Research or equivalent experience in a highly analytical field. 7+ years' experience working as a Data Scientist or similar role, preferably focusing on medical analytics, social listening, or NLP/LLMs. Prior experience managing or mentoring other developers. Published in top-tier ML/NLP journals, conferences, or inventions. Practical experience in training & inferring from LLMs, including quantization & prompt engineering. Proficient in API creation with Fast API, Flask, etc., and familiar with Streamlit or similar tools. Skilled in coding for DL/ML/AI applications (Python, PyTorch, TensorFlow, Java, JAX). Demonstrated ability to prototype innovative AI solutions. Adaptable to new technologies, diverse use cases, partner types, and settings. Involvement with the open-source AI community is a plus. Familiarity with Medical Affairs and Pharmaceutical R&D is advantageous.

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