Senior Research Scientist, Clinical AI & Foundation Models

We Love AI Jobs; San Francisco (CA); On-site; USD 225,000 - 300,000; Full time

Job summary

Latent is seeking a Senior/Staff Research Scientist to lead modeling work on clinical intelligence, from problem formulation to validated results. You’ll advance foundation-model training, reinforcement learning, and longitudinal data–driven evaluations that inform deployable healthcare systems.

Join a fast-moving team partnering with clinicians and engineers, owning end-to-end research with real-world impact in healthcare AI.

Qualifications

• Strong foundation in machine learning, deep learning, or a related technical field.
• Track record of driving ML research or novel modeling work from idea to validated results.
• Experience working on ambiguous research problems with limited prior art.
• Hands-on experience with PyTorch or similar frameworks.
• Ability to operate independently in high-ambiguity environments with minimal guidance.
• Strong technical judgment — you can identify meaningful problems, design appropriate approaches, and evaluate results rigorously.
• Comfort working in a fast-moving, early-stage environment.
• Experience working on systems where decisions have real-world consequences (e.g., healthcare, finance, infrastructure)

Responsibilities

• Own research initiatives end-to-end, including problem formulation, experimental design, modeling, and evaluation.
• Develop novel architectures, training methods, and objectives leveraging longitudinal patient data.
• Work on verifiable reinforcement learning, mid-training, and post-training of foundation models.
• Design rigorous evaluation methodologies to assess model reasoning, correctness, and clinical relevance.
• Make and own tradeoffs between model capability, interpretability, and verifiability in high-stakes settings.
• Collaborate with clinicians and engineers to define meaningful problem formulations grounded in real-world workflows.
• Partner with ML engineers to ensure research translates into deployable systems

Skills

PyTorch

Deep learning

Reinforcement learning

Foundation models

Longitudinal data

Model evaluation

NLP

Sequence modeling

Job description

Latent is seeking a Senior/Staff Research Scientist to lead modeling work on clinical intelligence, from problem formulation to validated results. You’ll advance foundation-model training, reinforcement learning, and longitudinal data–driven evaluations that inform deployable healthcare systems.

Join a fast-moving team partnering with clinicians and engineers, owning end-to-end research with real-world impact in healthcare AI.