Senior Generative AI Data Scientist
We are seeking a Senior Generative AI Data Scientist 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.
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