Data Product Engineer II, R&D BI&T at Bristol-Myers Squibb

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Pharmaceutical, Research & DevelopmentIndustries

Requirements

Bachelor or graduate-level degree in a pharmaceutically relevant scientific domain, Computer Science, Information Technology, or related discipline or commensurate industry experience
Proven experience (typically 3-5 years) in a data and analytics role, including direct development experience
Experience in data engineering, such as knowledge of SQL and experience with relational databases. Experience building data products a plus
Experience working with Discovery Researchers or platforms relevant to the Life Sciences systems a strong plus
Proficiency in programming languages such as Python
Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams
Ability to work with diverse teams across organizational lines and structures
Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders
Desire to work in a fast-paced, dynamic environment
Passion for technology and driving impactful outcomes for patients
Support global collaboration with work hours overlapping research and IT sites in the Western US, Eastern US, Hyderabad, and Bangalore

Responsibilities

Collaborate with Molecular Invention (MI) researchers, data scientists, Domain Analysts, BI&T, and cross-functional partners - including research scientists, informaticians, and computational modelers - to gather, model, and integrate diverse structured and unstructured data sources (experiment/study reports, lab instrument data, chemical/protein information, external datasets), delivering high-quality, contextualized, and AI-ready data products
Develop and implement data engineering solutions - including data modeling and entity-relationship structures - to enable scientific workflows, predictive use cases, and advanced analytics
Build, maintain, and enhance data infrastructure, pipelines, and automation processes for the efficient ingestion, cleaning, validation, and analysis of diverse scientific data sources
Implement and oversee rigorous data quality checks, validation processes, and performance monitoring to ensure data accuracy, reliability, and timely delivery of insights
Champion data governance best practices (metadata management, cross-source consistency, FAIR principles, error resolution, taxonomy, and quality control)
Support onboarding for new data products and knowledge transfer, maintaining detailed documentation for product designs, processes, usage, and continuity
Advocate adoption of Research Data Ecosystem platforms and advanced analytical/AI tools, connecting technical peers to effective data-driven solutions
Drive innovation by staying current with emerging technologies and industry trends (data engineering, Drug Discovery, GenAI, LLMs) and partnering with Platform teams to enhance data product offerings and operational efficiency
Foster a collaborative, accountable, and innovative technical culture through networking and proactive engagement

Skills

data engineering

data modeling

entity-relationship

data pipelines

ETL

data ingestion

data cleaning

data validation

data quality

data governance

automation

AI-ready data

scientific workflows

predictive analytics

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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