Homeoffice Staff Data Scientist bei Lark Health

About Lark

At Lark Health, we’re leading the way into a new era of cardiometabolic care, leveraging advanced AI techniques–including deterministic and generative models–to provide scalable, affordable, and compassionate care. We help our healthcare partners manage over 30 million lives and prevent conditions like obesity, hypertension, type II diabetes, and behavioral health. Our platform delivers real-time personalized counseling and health monitoring for each patient. By providing compelling and actionable insights, we empower every user to live happier, healthier lives. Come join our team!

The Role

We are seeking an experienced Staff Data Scientist to play a key role in shaping the future of A.I. at Lark, with a special focus on leading our generative AI capabilities. This is a highly visible role where you will have a strong influence on an innovative AI product that directly impacts the health of millions. This position is ideal for someone who thrives on autonomy, has a deep intuition for data, and can effectively balance innovation with responsibility—ensuring every A.I. solution is built on sound science, is safe to use, and is effective in a clinical setting.

You will drive critical projects from end-to-end: from ideation and development to deployment and evaluation. You will partner closely with product, engineering, and clinical stakeholders to deliver impactful solutions, while also mentoring others and helping to shape the standards of data science practice at Lark.

What You’ll Do

• Lead Generative AI Initiatives: Own the ideation, design, development, deployment, and evaluation of generative AI solutions for both internal tools and external product features.

• Establish Frameworks for Responsible AI: Design and lead rigorous evaluation frameworks to ensure generative AI outputs are safe, reliable, fair, and clinically effective. You will partner with clinical, compliance, and engineering teams to build responsible guardrails.

• Practice Strong Data Stewardship: Apply a deep understanding of data quality, structure, and pipelines to ensure models are trained, validated, and monitored on solid foundations. Spot anomalies, gaps, and biases before they become problems.

• Ensure Rigor in Production: Champion robust data science principles in deployed systems, collaborating with software engineering teams to ensure our models are sound and reliable at scale.

• Collaborate to Drive Outcomes: Partner effectively with product and business leaders to define problems and deliver AI/ML solutions that drive measurable, meaningful outcomes.

• Stay on the Cutting Edge: Continuously monitor advancements in AI/ML and surface opportunities for the safe and impactful application of new technologies in both product and enterprise contexts.

• Mentor and Guide: Share knowledge generously, helping teammates sharpen their technical and strategic skills while fostering a collaborative culture.

What You’ll Need

• Strong expertise in Python and SQL, with fluency in machine learning frameworks and cloud-based platforms (Databricks, Snowflake, AWS, etc.).

• Proven, hands-on experience building and evaluating generative AI models (LLMs, transformers, multimodal architectures) in production environments.

• Demonstrated experience assessing the safety, fairness, and clinical effectiveness of AI solutions in healthcare or other high-stakes domains.

• A deep understanding of data—from pipelines and transformations to intuition about patterns, anomalies, and the downstream impact of data quality.

• Ability to influence executives and collaborate effectively across engineering, product, and clinical teams.

• A strong foundation in statistics, econometrics, and machine learning, with a proven ability to apply theory to business-critical problems.

• A track record of mentoring and elevating peers, fostering a collaborative and innovative culture.

• 7+ years of professional experience in data science, with demonstrated leadership in delivering AI/ML projects.

• An advanced degree (MS or PhD) in Statistics, Data Science, Computer Science, or a related quantitative field is strongly preferred.

Working at Lark 

Lark operates as a remote organization, requiring all employees to reside within the United States.  The specific salary offered to a candidate will depend on various factors, including their location, job level, and verified job-related knowledge, skills, and experience. In addition to a comprehensive benefits package, candidates may be eligible for additional compensation, such as participation in a bonus program and stock awards, where applicable.

Lark is an Equal Opportunity and Affirmative Action Employer. We believe that diverse teams foster innovation and add to our mission-driven culture. We strongly encourage people from underrepresented groups to apply.

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