Data Scientist

Layer Health

• $180K — $200K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7+ years of data scientist experience in ML-focused companies.
  • 3-4 years of experience in healthcare or clinical applications.
  • Strong foundation in ML methods and techniques.
  • Proficient in Python and popular ML/NLP libraries (e.g., PyTorch, TensorFlow, HuggingFace).
  • Expertise in data manipulation and evaluation of large datasets.
  • Familiarity with applied LLM techniques and practical implementations.
  • Strong problem-solving and proactive mindset in data science.

Responsibilities

  • Develop and validate large language model (LLM) methods for healthcare data abstraction.
  • Evaluate and apply advanced techniques to address clinical challenges.
  • Collaborate with customers to enhance their workflows using the platform.
  • Stay informed on NLP and generative AI developments to leverage in projects.
  • Establish best practices for data science and analytics within the team.
  • Foster a robust data science culture to drive company growth.

Benefits

  • Opportunity to work in a dynamic, fast-paced environment.
  • Collaborate with a passionate team focused on disrupting healthcare with AI/ML.
  • Access to the latest technologies and methodologies in data science.
  • Participation in an innovative and mission-driven company culture.
Full Job Description
Job Description

We're hiring an exceptional data scientist to join our team (Boston or NYC office). In this role, you will be responsible for advancing our applied ML and data science capabilities for healthcare.

You can expect to:
  • Develop, validate, and measure the impact of large language model (LLM) and other ML-based approaches for chart abstraction from both unstructured and structured healthcare data.
  • Apply and rigorously evaluate cutting-edge methods to solve real clinical problems.
  • Work hand-in-hand with our customers to best leverage Layer Health's platform and supercharge their workflows.
  • Stay up-to-date on the latest in applied NLP and generative AI techniques and proactively explore these technologies where applicable.
  • Establish and enforce best practices for data science and analytics.
  • Cultivate and foster a robust and thoughtful data science and product culture that drives the company forward.

We look for:
  • 5-7+ years of professional experience as a data scientist working for a company with major ML dependencies.
  • At least 3-4 years of healthcare / clinical applications experience.
  • A solid foundation of ML/methods.
  • Fluent programming skills in Python, and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.).
  • Deep fluency and instincts for data manipulation, treatment, and evaluation, with the ability to wrangle large, complex datasets efficiently and methodically.
  • Familiarity with modern applied LLM techniques and their practical implementations (any experience using these techniques is a bonus).
  • Proactive mindset to identify and solve problems, continuously improving our data science capabilities.
  • A strong communicator who thrives in a customer-focused, fast-paced environment.
  • An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.
  • We are a Boston-based company, and expect engineers to meet regularly in-person in Boston (engineers from Boston, NYC, or east coast are welcome).

Expected compensation range for this role is $180,000 - 200,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo.

Join us and help us transform healthcare with AI.

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