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2027 Spring Intern - Data Science & Machine Learning

Roche
South San Francisco, USA
Full-time
Intern
Onsite
Discovered 3 days ago
gitlangchainpython

Full Job Posting

Required Skills

  • Currently enrolled in a graduate degree program (e.g., Computer Science, Data Science, AI/ML, Biomedical Informatics, or a related quantitative field).
  • Foundational proficiency in Python and standard software development best practices (version control/Git, writing modular code).
  • Understanding of Large Language Models (LLMs) and core Generative AI patterns (e.g., prompt engineering, agentic workflows, or Retrieval-Augmented Generation).
  • Awareness of AI safety principles, output reliability, and the importance of compliance in high-stakes environments like biotechnology and healthcare.
  • Preferred Knowledge, Skills, and Qualifications
  • Excellent communication, collaboration, and interpersonal skills.
  • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
  • Academic projects or coursework involving LLM API integration or open-source AI frameworks (e.g., LangChain, LlamaIndex, or building with commercial/open-source APIs).
  • Experience or strong interest in system evaluation, benchmarking, or testing (e.g., setting up test cases, evaluating model accuracy/consistency, or unit testing agent steps).
  • Strong analytical problem-solving skills, curiosity, and an eagerness to experiment in a fast-paced environment.
  • Relocation benefits are not available for this job posting.
  • The expected salary range for this position based on the primary location of California is $52/hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
  • Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
  • If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Qualifications

  • Currently enrolled in a graduate degree program (e.g., Computer Science, Data Science, AI/ML, Biomedical Informatics, or a related quantitative field).
  • Foundational proficiency in Python and standard software development best practices (version control/Git, writing modular code).
  • Understanding of Large Language Models (LLMs) and core Generative AI patterns (e.g., prompt engineering, agentic workflows, or Retrieval-Augmented Generation).
  • Awareness of AI safety principles, output reliability, and the importance of compliance in high-stakes environments like biotechnology and healthcare.
  • Excellent communication, collaboration, and interpersonal skills.
  • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
  • Academic projects or coursework involving LLM API integration or open-source AI frameworks (e.g., LangChain, LlamaIndex, or building with commercial/open-source APIs).
  • Experience or strong interest in system evaluation, benchmarking, or testing (e.g., setting up test cases, evaluating model accuracy/consistency, or unit testing agent steps).
  • Strong analytical problem-solving skills, curiosity, and an eagerness to experiment in a fast-paced environment.
  • Relocation benefits are not available for this job posting.
  • The expected salary range for this position based on the primary location of California is $52/hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
  • Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
  • If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Preferred Qualifications

  • Preferred Knowledge, Skills, and Qualifications

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