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Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

AI Engineer - Quality system

Applied Machine LearningUpdated on Nov 11
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Life Sciences, or a related field is required.
  • At least 2 years of relevant experience is required.
  • Strong communication skills are required.
  • The candidate must be able and willing to learn new technologies.
  • A strong work ethic is required.

Responsibilities

  • Support the development and implementation of AI-enabled solutions to improve Quality processes.
  • Collaborate with Quality stakeholders to understand requirements and translate them into technology solutions.
  • Assist with data preparation, analysis, and validation for AI/ML models.
  • Contribute to digital transformation across laboratory and quality systems.
  • Support integration and enhancement of systems such as LIMS.
  • Document processes and workflows in a compliant environment.
  • Participate in testing, validation, and deployment.
  • Continuously learn and apply new technologies.

Desired Qualifications

  • Familiarity with LIMS systems such as LabWare or LabVantage.
  • Exposure to laboratory environments or Quality processes.
  • A basic understanding of AI/ML or data analytics.
  • Experience with cloud platforms such as AWS.
  • Experience with workflow automation tools.
  • Experience in GxP environments.

About the Company

Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Bristol Myers Squibb discovers, develops and sells prescription medicines for serious illnesses, including cancer, blood disorders, immune diseases and heart disease, for patients treated by doctors and hospitals around the world. Its best-known drug is Opdivo, an immunotherapy that helps the body's own immune system find and attack many kinds of cancer. Researchers develop drug candidates in its labs or bring them in through acquisitions and partnerships, then test them in clinical trials to win regulatory approval. The company makes and markets the approved medicines and earns its revenue from sales of patent-protected drugs. Its roots go back to a business founded in 1887, and it is based in Lawrence Township, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Lawrence Township, NJ
Founded
1887

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