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About the Role

Lead a dedicated, high-impact team of applied and clinical researchers working at the intersection of clinical AI, language modeling, and radiology. This player-coach role involves developing people, setting technical direction, and staying hands-on. You will help shape research scaling and partner with clinicians, engineers, and product leaders to bring high-value ideas into production.

Responsibilities

• Directly manage and mentor a small team of applied and clinical researchers, helping them grow in scope, judgment, execution, and communication.
• Drive research productivity by clarifying priorities, unblocking work, and creating a high-trust, high-accountability team environment.
• Stay close to the technical work as a player-coach by guiding problem framing, experimental design, evaluation strategy, and tradeoff decisions across multiple research efforts.
• Partner closely with radiologists, clinical experts, engineers, and product leaders to identify the highest-leverage research opportunities and translate them into production-scale systems.
• Help the team build and evaluate advanced NLP and reasoning systems that work with clinical text, diagnostic criteria, reporting workflows, and other healthcare data.
• Create strong cross-functional working rhythms with engineering, product, and clinical partners so research outputs are practical, trustworthy, and deployable.
• Raise the bar on research quality, reproducibility, and communication across the team.
• Stay current on relevant machine learning advances and help the team thoughtfully integrate new methods when they materially improve customer and clinical outcomes.

Requirements

• MS or PhD in Computer Science, Machine Learning, Computational Linguistics, Biomedical Informatics, or a related quantitative field, or equivalent practical experience.
• 6+ years of applied ML research experience, with a track record of taking work from idea to production impact.
• Prior people management experience, or clear evidence of operating as a de facto team lead for multi-person research efforts, with strong coaching and prioritization skills.
• Strong background in NLP and modern deep learning, especially transformer-based systems and large language models.
• Experience applying ML to hard real-world problems where ambiguity, data quality, and operational constraints matter.
• Strong hands-on experience with modern ML tooling such as PyTorch and common model development workflows.
• Demonstrated ability to collaborate closely with domain experts and cross-functional stakeholders, especially in environments where trust, iteration speed, and communication quality matter.
• Excellent written and verbal communication skills, with the ability to guide senior researchers while also aligning non-technical partners around research direction and tradeoffs.
• Experience working in healthcare, clinical AI, biomedical ML, or other regulated, privacy-sensitive environments.
• Experience with radiology, clinical documentation, medical terminology, or clinician-facing workflows.
• Experience deploying LLM or NLP systems in production settings.
• Experience contributing to research culture through mentorship, technical standards, or organizational leadership.
• Familiarity with cloud-based ML workflows and modern research infrastructure.
• Preferably eager to collaborate and work in our new San Francisco office and shape the culture and tone of that space.

Skills

• Clinical AI
• Language modeling
• NLP
• Deep learning
• Transformer-based systems
• Large language models
• PyTorch
• ML tooling
• Model development workflows
• Cloud-based ML workflows
• Research infrastructure

Location

• San Francisco

Work Type

• Full-time
• Onsite

Experience Level

• 6+ years of applied ML research experience
• Prior people management experience

Education Level

• MS or PhD in Computer Science, Machine Learning, Computational Linguistics, Biomedical Informatics, or a related quantitative field, or equivalent practical experience

Benefits

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 Paid Company Holidays
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend

About the Company

• Rad AI is on a mission to transform healthcare with artificial intelligence, revolutionizing radiology by saving time, reducing burnout, and improving patient care.
• The company possesses one of the largest proprietary radiology report datasets globally, with AI that has uncovered hundreds of new cancer diagnoses and reduced error rates in millions of reports.
• Rad AI has secured over $140M in funding, including a $68M Series C led by Transformation Capital, reaching a $528M valuation.
• Investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, and Cone Health Ventures.
• Their generative AI advancements are used daily by thousands of radiologists, supporting over one-third of radiology groups and healthcare systems, and nearly 50% of all medical imaging in the U.S.
• Partners include Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.
• Recognized by CB Insights and AuntMinnie as a promising healthcare AI company, ranked by Deloitte as the 19th fastest-growing company in North America, and named to CNBC’s Disruptor 50 list.
• The company prioritizes transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare.

Equal Opportunity

• Rad AI values diversity and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Qualified applicants with criminal histories will be considered in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.