Prompt Engineer

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We are looking for a motivated, talented volunteer to join RGI as a member of the AI/LM Innovation team. The Prompt Engineer will be responsible for creating, testing, and refining prompts used by LLMs to accurately map medical records to HPO terms. This role requires a deep understanding of natural language processing (NLP), strong analytical skills, and the ability to collaborate with cross-functional teams. The successful candidate will work closely with AI/ML specialists, bioinformatics scientists, and clinical data specialists to ensure the effectiveness of the prompts in improving the performance of our AI models.

Key Responsibilities:

• Develop and optimize prompts to enhance the accuracy of LLMs in mapping medical records to HPO terms.

• Conduct experiments to test and refine prompts, using quantitative and qualitative metrics to assess performance.

• Collaborate with AI/ML specialists to integrate optimized prompts into the LLM training and deployment process.

• Analyze model outputs and feedback to identify areas for prompt improvement.

• Stay up-to-date with the latest advancements in NLP and LLMs, and apply these insights to improve prompt design.

• Document prompt development methodologies, experiments, and results to ensure reproducibility and transparency.

• Communicate findings and progress to stakeholders, including non-technical team members.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Linguistics, Computational Linguistics, or a related field.

• Proven experience in natural language processing and prompt engineering.

• Strong understanding of LLMs (e.g., GPT, BERT) and their applications in NLP tasks.

• Proficiency in programming languages such as Python and experience with NLP libraries (e.g., Hugging Face Transformers).

• Excellent analytical and problem-solving skills, with the ability to design and conduct experiments.

• Ability to work independently and collaboratively within a multidisciplinary team.

• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Experience in the healthcare or genomics industry.

• Familiarity with bioinformatics and medical terminologies.

• Publications or contributions to the field of NLP or LLM research.