Engineer clinical

Job Description

A Pharmaceutical company based in San Diego, CA is seeking an AI Engineer with prompt engineering experience to support their clinical team. This is a hands-on technical role focused on developing reliable, traceable, and regulation-aware AI solutions for drafting and quality control of Clinical Study Reports (CSRs), protocols, Investigator Brochures (IBs), safety narratives, and regulatory submissions.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 5+ years of experience in a Data Science role, with 2+ years of experience in AI/Prompt engineering

• Previous experience working on technical clinical data projects, interfacing directly with clinical team members (researchers, scientist, medical writers, etc.)

• Deep understanding of LLMs and advanced structured prompting techniques (ChatGPT preferred)

• Strong Python and backend engineering skills

• Experience designing validation frameworks for AI applications, with consideration of risk and compliance

• Strong analytical and technical problem-solving skills - Experience integrating structured clinical/statistical outputs (SDTM, ADaM, TLFs) into AI workflows

• Experience building RAG systems over regulated document corpora

• Familiarity with AI validation practices in GxP or similar environments