AI & LLM Applications Scientist

InVitro Cell Research, LLC; Englewood (NJ); On-site; USD 155,000 - 215,000; Full time

Job summary

InVitro Cell Research, LLC seeks an AI & LLM Applications Scientist to design and deploy AI workflows that augment bench scientists and data teams. You will prototype models, co-create domain-specific AI solutions, and drive adoption through hands-on training across the organization.

The role emphasizes deep understanding of AI principles, practical model deployment, and clear communication to diverse audiences within a fast-moving scientific environment.

Qualifications

• Hands-on experience with modern AI and LLMs, including prompt engineering and workflow integration.
• Strong technical foundation in CS/ML/data science or equivalent experience in scientific domains.
• Understanding of LLM capabilities, limitations, privacy and IP concerns, and mitigation strategies.
• Experience translating problems into AI-enabled solutions with non-technical stakeholders.
• Experience designing experiments to evaluate AI tools (A/B testing, HIL, metrics).

Responsibilities

• Design and implement AI/LLM-enabled workflows with bench scientists and data scientists.
• Prototype and deploy AI tools to accelerate research programs in aging-related fields.
• Co-create AI solutions addressing scientists' pain points to boost throughput and rigor.
• Deliver training sessions and workshops to raise AI literacy across the organization.
• Monitor AI landscape and advise leadership on build/buy/adopt decisions.

Skills

AI/LLMs expertise

Prompt engineering

Strong communication

Python programming

Team collaboration

Education

CS/ML/data science degree or equivalent

Tools

Vector databases

RAG

Model fine-tuning

Job description

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.

Our ideal candidate not only knows how to use AI and LLMs, but understands them at a fundamental level - their core principles, limitations, and what truly makes them work. The candidate will have a similarly deep, first-principles grasp of deep learning, neural networks, machine learning, and modern software and computing, not just surface-level familiarity. Their ability to clearly articulate the underlying ideas and "essence" of these systems to others will be a key indicator of this depth of understanding and will be vital to the success of this role within our company.

In this position at ICR, you'll get to:

• 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.

Please apply if you have:

• 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).

Ideally, you'll also have experience with:

• 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.

And you'll need:

• 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.
• A can-do attitude and a friendly, easygoing personality

Position title and compensation are commensurate with experience.

The compensation ranges listed below are starting ranges.

Starting base salary range: $155,000/yr - $215,000/yr

• EXERCISE your intellect in challenging and rewarding science
• ENTER an career dedicated to a mission that matters to everyone
• EXCELLENT research environment, salaries and relocation expenses (fully covered!)