Senior Applied Scientist, Generative AI (GenAI)

We are seeking a Senior Applied Scientist, Generative AI (GenAI) to lead the development and deployment of advanced AI models that power critical clinical applications. This role will balance hands-on model development with close collaboration with engineering teams to ensure seamless integration and optimization of AI models in production environments. You'll play a pivotal role in driving innovation across multiple AI initiatives, from clinical report generation to agentic workflows that utilize natural language commands.

Key Responsibilities:

• Design, develop, and fine-tune generative AI models for clinical applications, including semi-automated medical report generation, patient data summarization, and clinical decision support.
• Implement robust evaluation pipelines to benchmark model performance, detect drift, and ensure continuous improvement.
• Prototype and integrate AI models into real-world healthcare applications, collaborating with product and engineering teams to push models into production.
• Conduct research and experimentation to optimize LLMs, NLP models, and multimodal approaches for healthcare tasks.
• Explore and prototype agentic workflows that leverage natural language voice commands to enhance clinical workflows.
• Evaluate and integrate third-party algorithms and AI models, leveraging LLMs to improve functionality and system performance.
• Stay on top of emerging trends and advancements in AI, with a focus on identifying opportunities for innovation in clinical applications.
  
  

Key Requirements:

• PhD in Data Science, Computer Science, Machine Learning, Computational Linguistics, or related fields; or Master's degree combined with equivalent relevant industry experience.
• Strong expertise in traditional machine learning techniques (supervised/unsupervised), statistics, and hypothesis testing.
• 8 years of experience applying machine learning and AI to real-world problems, with a focus on NLP and LLMs.
• Proficiency with Python, SQL, and popular data science libraries such as pandas, NumPy, scikit-learn, and PyTorch.
• Proven experience with generative AI and NLP methods, including prompt engineering, embeddings/vector databases, retrieval-augmented generation (RAG), LLM evaluation, and fine-tuning techniques.
• Strong track record in deploying AI models to production and conducting rigorous model performance evaluations. Hands-on experience fine-tuning closed and open-source models and integrating them into production systems.
• Strong understanding of model deployment pipelines and experience maintaining AI models in a production environment.
• Ability to communicate effectively with both technical and clinical teams, translating complex AI concepts into actionable insights and performant models.

Nice-to-have: 

• Healthcare domain experience, especially in clinical workflows and regulated environments.
• Computer vision experience or experience developing multimodal models that combine text, imaging, and structured clinical data.
• Experience building or fine-tuning LLMs from scratch, with a focus on healthcare data.
• Strong engineering background with the ability to set up, maintain, and optimize AI infrastructure (open and closed source).
• Contributions to open-source AI frameworks or libraries.

Why Join Us?

• Make a Real Impact: Your work will directly affect patient outcomes and improve clinical workflows for healthcare providers.
• Work with Cutting-Edge AI: You'll be at the forefront of applying AI innovations in a high-stakes domain.
• Collaborate with Top Talent: Join a passionate, multidisciplinary team of AI experts, engineers, and clinicians.
• Opportunity to Grow: We're a startup—there's room for you to grow and lead as we continue to scale

Benefits:

• Stock Options
• Unlimited PTO
• Medical, dental, vision insurance
• Life insurance
• Maternity and Paternity Leave
• 401K matching
• Apple equipment
• Sponsorship for conferences, continuing education, etc
• Dynamic engineering role–technological innovation is at the core of our business
• Growth and learning opportunities from a startup environment include working closely with an international team of scientists, engineers, platform architects, programmers and professionals
• Do something morally benevolent!

The annual US base salary range for this full-time position is $175,000 - $215,000 equity benefits. Pay scale is flexible depending on experience. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, relevant education and training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.