AI & LLM Applications Scientist

About the role

We’re hiring AI & LLM Applications Scientists to help augment and accelerate ICR scientists’ workloads, improving both quality and productivity across the organization. The ideal candidate has a deep, practical understanding of modern AI and large language models, including how they work, what they can and cannot do, and how to most wisely integrate and deploy them in a fast-paced scientific environment.

Responsibilities

• Partner with bench scientists, computational biologists, and data scientists to design and implement AI/LLM-enabled workflows that streamline literature review, study design, data interpretation, and reporting.
• Evaluate, prototype, and deploy AI tools (including frontier and open-source models) to accelerate ICR’s research programs in regenerative and preventive medicine, with a focus on aging and age-related diseases.
• Work directly with individual scientists and teams to understand their pain points, then co-create AI-assisted solutions that measurably increase throughput and scientific rigor.
• Design and deliver training sessions and small-group workshops to raise AI literacy across all levels of ICR, from junior scientists to senior leadership.
• Continuously monitor the AI landscape, benchmarking new models and tools, and advise leadership on build/buy/adopt decisions aligned with ICR’s mission and risk tolerance.

Requirements

• Extensive hands-on experience with modern AI and LLMs (e.g., GPT-class models, open-source LLMs, multimodal models), including prompt engineering, evaluation, and workflow integration.
• A strong technical foundation in computer science, machine learning, data science, or a closely related field; or equivalent experience applying AI in scientific or technical domains.
• Demonstrated understanding of LLM capabilities and limitations, including hallucinations, bias, privacy and IP concerns, security, and appropriate mitigation strategies.
• Experience partnering with non-technical individuals to translate loosely defined scientific or organizational problems into concrete AI-enabled solutions.
• Experience designing or running experiments to evaluate AI tools including but not limited to A/B testing, human-in-the-loop evaluation, metrics for quality, reliability, and productivity impact).
• Excellent communication skills and the ability to explain complex AI concepts clearly to audiences with a wide range of technical backgrounds.
• A strong interest in regenerative medicine, aging biology, or age-related diseases, and enthusiasm for using AI to advance ICR’s mission.
• An understanding of basic machine learning paradigms and scoring rules.
• Extensive programming experience (Python preferred).

Qualifications

• Ideal candidates should ideally have experience with:
• Building lightweight internal tools or integrations (e.g., Python, JavaScript, REST APIs, LangChain, or similar frameworks) that connect LLMs to data sources and workflows.
• Working with scientific or biomedical data (e.g., omics, imaging, clinical, or real-world data) and understanding their common pitfalls and preprocessing requirements.
• Using vector databases, retrieval-augmented generation (RAG), or fine-tuning approaches to adapt foundation models to domain-specific use cases.
• Building or curating evaluation datasets and annotation guidelines for scientific or technical AI applications.

Skills

• The ability to work in the United States without sponsorship.
• Comfort operating in a fast-moving AI landscape, including the humility to say “I don’t know yet” and the discipline to test assumptions before broad deployment.
• To have an easygoing, hard-working personality.

Pay

Starting base pay range: $155,000/yr - $215,000/yr
Starting additional compensation range: $10,000/yr - $20,000/yr

Schedule

Full time