Data Scientist III, Medical

1 month 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.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: .

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.

Data Scientist III, Medical Analytics

Summary: We are seeking an experienced Data Scientist 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 contribute to a team of Data Scientists that 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:
  • 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.
  • Communicate complex methods effectively to varied audiences.
  • 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 & 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.
  • 5+ years experience working as a Data Scientist or similar role, preferably focusing on medical analytics, social listening, or NLP/LLMs.
  • Preferably, published in top-tier ML/NLP journals, conferences, or inventions.
  • Practical experience in training and inferring from LLMs, including quantization and prompt engineering.
  • Proficient in API creation with FastAPI, 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.
#GBOHYD #LI-Hybrid

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as Transforming patients' lives through scienceTM , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit eeo -accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

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