Bristolmyerssquibb

Bristolmyerssquibb

AI & Data Engineer, Data Discovery Services

Princeton - NJ - US · Part-time

Sponsorship not specified$88k-$106kDetected 1 day ago
PythonSQLElasticsearchDatabricksAWSAzureDockerData EngineeringData ScienceNLPLLMsRAGAccessibilityExcelClinical TrialsCommunicationCollaborationProblem Solving

About the role

  • Work with a modern stack -- Databricks, Amazon Web Services (AWS), OpenSearch, vector search, semantic knowledge layers, graph databases, and AI agents.
  • Contribute to open-source projects and shared accelerators.

Responsibilities

  • Build and maintain Python pipelines that pull metadata from enterprise data catalogs, enrich it with taxonomy tags and ownership information, and publish it to the discovery platform.
  • Tune and optimize search indexes -- adjust analyzers, boost fields, and test queries -- to ensure results match what users need.
  • Build a semantic knowledge layer -- chunking documents, generating vector embeddings, and enriching them with semantic knowledge metadata -- to grow a data inventory that supports retrieval-augmented generation (RAG) and helps AI systems and large language models (LLMs) find and use the right context.
  • Maintain integrations that sync ontology and taxonomy changes into the discovery platform, so classifications stay current.
  • Build API endpoints and Model Context Protocol (MCP) servers that expose search and metadata capabilities to applications and AI agents.
  • Design metadata pipelines that map cross-domain dataset relationships and add them to the cross-domain join catalog with confidence scores.
  • As an AI / Data Engineer, you'll be a hands-on Python developer building the pipelines and integrations that make enterprise data more discoverable.
  • Working alongside data engineers, search engineers, and data scientists, this is hands-on engineering role - you'll write code, build pipelines, ship features, and own what you deliver.
  • Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible.
  • 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.

Requirements

  • Demonstrated proficiency in data engineering, software engineering, or a related technical discipline, with a track record of delivering production data pipelines.
  • Proficiency in Structured Query Language (SQL).
  • Experience with Databricks and AWS Glue for data pipelines and transformations.
  • Familiarity with AWS cloud services (S3, Lambda, API Gateway, Glue).
  • Experience with OpenSearch or Elasticsearch.
  • Good communication skills and ability to work collaboratively in a team.
  • BMS has an occupancy structure that determines where an employee is required to conduct their work.
  • Bachelor's degree in computer science, Data Science, Information Science, Engineering, or a related field. Master's degree preferred.
  • Proficient Python skills -- this is your primary language day-to-day.

Nice to have

  • Experience with semantic knowledge layers, RAG patterns, vector search technologies, and building AI-ready data inventories.
  • Familiarity with semantic search, embeddings, chunking strategies, relevance tuning, and semantic knowledge metadata (entity relationships, taxonomies, context enrichment).
  • Exposure to AI agent patterns, MCP, or large language model orchestration frameworks.
  • Experience with ontology or taxonomy technologies (such as Turtle, Resource Description Framework, Web Ontology Language, or SPARQL query language) or management platforms.
  • Familiarity with graph databases or knowledge graph technologies.
  • Experience with metadata enrichment, data lineage, or data quality frameworks.
  • Exposure to Azure OpenAI, Google Vertex AI, or Amazon Bedrock.
  • Experience with Docker, Elastic Container Service (ECS), or CloudFormation.

Skills

  • Use AI-assisted development tools (Claude, Copilot) in your daily workflow.

Compensation

  • 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
  • Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

Benefits

  • Medical, pharmacy, dental, and vision care.
  • Work-life benefits include:
  • With a single vision as inspiring as "Transforming patients' lives through science™ ", every BMS employee plays an integral role in work that goes far beyond ordinary.

Company info

  • We run multiple search and discovery services used across the company -- and we're building the next generation of AI-powered discovery on top of them.
  • Your primary focus is data engineering - pipelines, metadata enrichment, transformations, and platform integrations.
  • If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com.
  • 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.

Equal opportunity

  • Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer.
  • Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
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