Senior Data Scientist

Job Summary
:
Luna Health is a venture-backed medical device startup focused on innovative solutions for diabetes management. The Senior Data Scientist will lead data analysis efforts, leveraging both internal and external datasets to provide actionable insights that enhance product development and operational efficiency.

Responsibilities
:

• Partner with cross-functional teams to identify data-centric problems and align solutions with scientific and operational objectives.

• Analyze and model internal and external datasets (e.g., clinical trials, product performance, operations, third-party devices) to uncover actionable insights that can be fed back into products and processes.

• Create and manage visualization tools and dashboards to communicate complex insights clearly.

• Support the team in design and implementation of internal and external data products.

• Explore and experiment with novel computational methods, tinkering creatively and iteratively to solve complex problems while keeping practical needs in focus.

• Create models using Luna data, along with external data, to demonstrate health economic outcomes

• Provide subject matter expertise in data science, including statistics, modeling, simulation, and AI.

Qualifications
:
Required
:

• 5+ years in data science, computational biology, or related fields, with a proven track record of independently delivering innovative, high-impact projects in modeling, analytics, and systems design.

• Expertise in data communication and storytelling, with the ability to uncover insights, visualize information, and create a compelling narrative from data. Experience managing tools that make data accessible and digestible for users across the business.

• Proficiency in Python (e.g., Num Py, Sci Py, Pandas, Scikit-learn) or R for modeling, simulation, analytics, and visualization, with a focus on clear analysis and communication. Comfort with AI tool chains, both when and how to apply them.

• Hands-on experience with clinical data analysis and field metrics.

• Proficiency with complex numerical methods as well as emerging machine learning technologies.

• Creative tinkerer with a passion for experimentation, unafraid to dive deep into problems and prototype novel solutions.

• Ability to balance quick-and-dirty experimentation with rigorous design and analysis.

• Advanced degree (MS or PhD) in data science, computational biology, applied mathematics, engineering, or a related field preferred; or equivalent experience demonstrating exceptional technical depth and problem-solving ability. Candidates should show a strong aptitude for rigorous, analytical thinking and hands-on innovation, regardless of formal education.

Preferred
:

• Experience in medical devices, regulated industries, healthcare, diabetes, or consumer health products

• Familiarity with FDA regulatory requirements and quality management systems

Company
:
Luna Diabetes is a manufacturer of medical equipment. Founded in 2020, the company is headquartered in San Diego, USA, with a team of 2-10 employees. The company is currently Early Stage.