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Applications Programmer

UCSF Health · San Francisco

Contract Junior 🇬🇧 English
Python machine learning libraries APIs

Job description

About the role

This contract role (3‑month duration) focuses on developing and automating AI‑driven regulatory science systems and population pharmacokinetics modeling workflows. The position is ideal for an entry‑level professional eager to work with large language models and data‑sharing infrastructure.

Key responsibilities

  • Assist in constructing a regulatory‑science large language model using Retrieval‑Augmented Generation (RAG) and benchmark its performance against models such as ChatGPT and Gemini.
  • Automate pipelines for model construction, optimization, and result reporting for population pharmacokinetics modeling.
  • Support the design, implementation, and maintenance of data‑sharing and archiving systems to ensure research reproducibility and compliance.

Required profile

  • Bachelor's degree in a related field or equivalent experience/training.
  • Entry‑level professional with limited prior experience, eager to learn and develop technical skills.
  • Effective communication skills, able to convey technical information to both technical and non‑technical audiences.
  • Self‑motivated and capable of working under general supervision.

Required skills

  • Python programming.
  • R programming.
  • Use of machine‑learning libraries and APIs.

Questions fréquentes

Le salaire n'est pas communiqué publiquement par le recruteur. Vous pouvez postuler et négocier directement avec UCSF Health.
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Le contrat proposé est un Contract basé à San Francisco.

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Published 2 months ago

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UCSF Health

San Francisco