Staff Data Scientist at Lark Health

Albany, New York, United States

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$144,600 – $218,400Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Health TechnologyIndustries

Requirements

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

Responsibilities

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. 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 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

Skills

Key technologies and capabilities for this role

Generative AIResponsible AIAI EvaluationMachine LearningData ScienceAI DeploymentGenerative ModelsDeterministic ModelsClinical AI

Questions & Answers

Common questions about this position

What is the salary range for the Staff Data Scientist position?

The salary range is $144.6K - $218.4K.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

The role requires strong expertise in generative AI, a deep intuition for data, experience leading end-to-end AI projects, and the ability to establish frameworks for responsible AI while practicing strong data stewardship.

What is the company culture like at Lark Health?

Lark Health fosters a collaborative culture that values autonomy, innovation balanced with responsibility, mentoring, and ensuring AI solutions are safe, effective, and built on sound science.

What makes a strong candidate for this Staff Data Scientist role?

Strong candidates thrive on autonomy, have deep data intuition, can lead generative AI projects end-to-end, partner with stakeholders, mentor others, and ensure AI is responsible, safe, and clinically effective.

Lark Health

Digital health coaching for prediabetes management

About Lark Health

Lark Health provides digital health coaching aimed at helping individuals manage prediabetes and achieve weight loss. The service is delivered through a mobile app that offers personalized coaching, a smart scale, and digital sessions. Lark targets individuals at risk of diabetes and those looking to manage their weight, making its services accessible through partnerships with insurance providers, which can cover costs for eligible users. Unlike many competitors, Lark combines health coaching with access to weight loss medications, ensuring a comprehensive approach to weight management. The company's goal is to make healthy living achievable and affordable for everyone, while maintaining a strong commitment to data security and privacy.

Mountain View, CaliforniaHeadquarters

2011Year Founded

$192.3MTotal Funding

SERIES_DCompany Stage

Financial Services, HealthcareIndustries

51-200Employees

Benefits

Medical, dental, and vision

Disability and life insurance

Employee assistance program

401(k) with employer contribution

Pre-taxed benefits

Home office stipend

Flexible time off

Paid parental leave

Wellbeing resources

Risks

Increased competition from new digital health startups may dilute Lark's market share.

Rising GLP-1 medication costs may strain partnerships with insurance providers.

Potential regulatory scrutiny over AI use could increase compliance costs for Lark.

Differentiation

Lark combines AI with human coaches for personalized chronic disease management.

The company offers a CDC-recognized Diabetes Prevention Program with proven health outcomes.

Lark partners with insurance providers to offer cost-free services to eligible users.

Upsides

Lark's AI-driven GLP-1 programs reduce medication costs by 77%.

Partnership with Desert Oasis Healthcare expands remote monitoring and education programs.

Lark's digital coaching shows positive outcomes in Health Professional Shortage Areas.

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