Layer Health

The Forward Deploy Data Scientist will partner with health systems and internal teams to investigate healthcare data, build and operationalize ML/LLM pipelines, and deliver actionable insights. The role requires 2–3 years of data science experience, strong Python and ML/NLP skills, and customer-facing communication ability.

Director of Finance responsible for building financial models, owning the financial narrative for the board and investors, and shaping capital strategy ahead of the next fundraising round at an early-stage AI healthcare company. Requires 5+ years in finance roles, strong analytical skills, cross-functional collaboration, and a bachelor's degree.

Own customer relationships, serve as the primary point of contact, and proactively identify opportunities to drive customer satisfaction and retention. Manage cross-functional efforts and establish trust with healthcare stakeholders.

Builds and pilots AI-powered clinical solutions for healthcare systems, bridging clinical needs with technical prototypes using Python and healthcare standards like FHIR/HL7. Collaborates with engineering, product, and customer teams on integrations, troubleshooting, and workflow alignment. Requires 3-5 years healthcare solutions experience.

Develops and validates LLM/ML models for healthcare chart abstraction from unstructured/structured data, evaluates cutting-edge NLP/AI techniques for clinical problems, and collaborates with customers to optimize workflows. Requires 5-7+ years data science experience including 3-4 years in healthcare.

Leads a team of ML engineers and scientists as a player-coach, driving end-to-end ML systems from research to production deployment for healthcare AI. Requires 7+ years ML experience, 2+ years technical leadership, Python fluency, and bachelor's degree.

Leads enterprise health system accounts, driving retention, expansion, and executive relationships. Requires 8+ years in healthcare tech/SaaS account management, EHR knowledge, and strategic advisory skills.

Pioneers innovative ML techniques and builds foundation models for clinical information extraction and synthesis from medical records. Requires PhD in CS/math with NLP/ML focus, high-impact publications, and experience with large-scale model training using PyTorch/JAX.

Designs, develops, and deploys scalable ML systems using LLMs to process clinical data for healthcare applications. Requires 5+ years backend/cloud experience, Python fluency, and familiarity with ML frameworks; works onsite in Boston or NYC.

Develops and maintains integrations with EHR systems like Epic and Cerner using Python and standards such as FHIR and HL7. Troubleshoots issues, tests integrations, and communicates with teams and clients. Requires 5+ years experience and strong healthcare interoperability knowledge.

Designs, develops, and deploys scalable ML systems and backend infrastructure for healthcare applications, translating LLM research into production while handling large-scale clinical data. Requires 3+ years ML backend experience, 5+ years software development, and backend languages like Python.