Senior Data Scientist - AI Data Science at Bristol-Myers Squibb

Hyderabad, Telangana, India

Bristol-Myers Squibb Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Pharmaceuticals, BiotechnologyIndustries

Requirements

  • Advanced knowledge in data & analytics and thorough knowledge of other functions, typically gained through a university degree and 4+ years of experience
  • Knowledge in data & analytics skillsets such as data provisioning, data mining, data visualization, machine learning, GenAI code development in Python/R, GitHub, cloud computing platforms like AWS, model governance with MLFlow or equivalent
  • Potential to lead initiatives related to implementation of new technologies, especially LLM-based solutions
  • Ability to package information and data that tells a story and provides insight to a broader problem; presents and explains implications of key information on issues important to the business unit
  • Frequent interaction with internal and external stakeholders regarding operational decisions and business requirements; analyzes impact of conclusions and actions on people, technology, structure, and workflow across teams
  • Gives others challenging opportunities to build strong capabilities for the team; helps drive a culture which motivates awareness and learning through creating space for conversations and debate
  • Demonstrates a focus on improving processes, structures, and knowledge within the team; leads in analyzing current states and delivering strong recommendations in understanding complexity in the environment
  • Stay up-to-date with emerging trends in data science and machine learning

Responsibilities

  • Develop and deliver AI-powered solutions that will bring more medicines to more patients faster
  • Develop ML pipelines that can evolve rapidly to incorporate new and/or more effective modeling approaches
  • Partner with business and IT groups to scale and operationalize AI solutions to advance business goals and gain competitive advantage
  • Engage a broader community to help educate the business on the practical application of AI to drive business value and widespread adoption
  • Serve as a knowledge expert in foundation models and communicate insights, recommendations, value and impact to technical and non-technical stakeholders

Skills

AI
Data Science
Machine Learning
ML Pipelines
Artificial Intelligence

Bristol-Myers Squibb

Develops and delivers biopharmaceutical medicines

About Bristol-Myers Squibb

Bristol Myers Squibb (BMS) develops and delivers medicines aimed at treating serious diseases, focusing on areas like cancer, autoimmune diseases, and heart conditions. The company conducts extensive research and development to create new drugs, which are sold after receiving regulatory approval. BMS also produces generic drugs, offering affordable alternatives that meet the same quality standards as their branded counterparts. What sets BMS apart from competitors is its dual focus on both innovative and generic medicines, enhancing access to healthcare. The company's goal is to improve patient outcomes while maintaining a commitment to sustainability and corporate responsibility.

New York City, New YorkHeadquarters
1887Year Founded
$33,706.1MTotal Funding
IPOCompany Stage
Biotechnology, HealthcareIndustries
10,001+Employees

Benefits

Flexible Work Hours
Hybrid Work Options
Professional Development Budget

Risks

Increased competition in oncology from emerging biotech firms like ArsenalBio.
BMS's lawsuit over the 340B Drug Pricing Program may lead to regulatory challenges.
Rapid AI and digital tech evolution may pose integration challenges for BMS.

Differentiation

BMS focuses on innovative cancer treatments through collaborations like ArsenalBio for T cell therapies.
The company emphasizes digital health technologies, enhancing clinical trial management and patient engagement.
BMS offers both innovative and generic medicines, increasing affordable healthcare solutions.

Upsides

BMS's partnership with Medidata enhances clinical research processes and patient outcomes.
The collaboration with AI Proteins advances novel miniprotein-based therapeutics, expanding therapeutic modalities.
BMS's global license agreement with BioArctic expands its portfolio in neurodegenerative diseases.

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