Vālenz® Health is the platform to simplify healthcare – the destination for employers, payers, providers and members to reduce costs, improve quality, and elevate the healthcare experience. The Valenz mindset and culture of innovation combine to create a distinctly different approach to an inefficient, uninspired health system. With fully integrated solutions, Valenz engages early and often to execute across the entire patient journey – from care navigation and management to payment integrity, plan performance and provider verification. With a 99% client retention rate, we elevate expectations to a new level of efficiency, effectiveness and transparency where smarter, better, faster healthcare is possible.

About This Opportunity: As a Healthcare Data Scientist at Valenz, you’ll work hands-on with large, complex healthcare claims and provider datasets to ensure data accuracy and integrity. You’ll continuously dig into the data, investigate anomalies, and contribute to models that inform how we evaluate provider performance, care quality, and risk.

Using SQL and Python, you’ll identify and resolve data issues, apply statistical methods, and deliver clear, actionable insights to support smarter decision-making across the organization. This is a highly analytical and collaborative role with real impact on how care is measured, delivered, and improved.

Things You’ll Do Here:

Utilize reference data sources and advanced validation techniques to ensure accuracy, completeness, and integrity of healthcare claims data
Assess provider scoring methodologies, identify discrepancies, and develop insights to optimize coverage accuracy
Design, develop, and maintain retrospective models for historical performance analysis, and predictive models to identify high-risk patients and prioritize actionable interventions
Translate complex analytical findings into clear, actionable insights, and effectively communicate results and recommendations to internal stakeholders and external clients
Aggregate and reconcile multiple data sources, applying statistical and computational methods to verify data integrity, identify anomalies, and implement necessary corrections
Execute comprehensive data analysis workflows, evaluate outcomes, and implement enhancements to improve model accuracy and data reliability
Review and optimize claim-matching processes, troubleshoot inconsistencies, and resolve data discrepancies to maintain high-quality outputs
Investigate data quality issues, conduct root cause analysis, document findings, and deliver actionable recommendations for process improvements
Collaborate with cross-functional teams to enhance analytical tools, refine methodologies, and implement scalable solutions that improve efficiency and analytical capabilities

Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties. What You’ll Bring to the Team:

Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science, Finance, or Economics)
7+ or more years of experience analyzing healthcare claims data, including complex and imperfect datasets
Strong analytical, problem-solving, and critical-thinking skills with proven ability to uncover root causes
Proficiency in SQL for querying and manipulating data; familiarity with Python or similar data tools preferred
Advanced Excel skills, including PivotTables and complex formulas, for data modeling and reporting
Knowledge of healthcare network rosters, provider data, and quality measurement methodologies
Exceptional attention to detail with a commitment to accuracy, data validation, and quality assurance
Highly organized and self-motivated, with the ability to manage multiple priorities independently while collaborating effectively with others

A plus if you have…

Master’s degree

Where You’ll Work: This is a fully remote position, and we’ll provide all the necessary equipment!

Work Environment: You’ll need a quiet workspace that is free from distractions
Technology: Reliable internet connection—if you can use streaming services, you’re good to go!
Security: Adherence to company security protocols, including the use of VPNs, secure passwords, and company-approved devices/software
Location: You must be US based, in a location where you can work effectively and comply with company policies such as HIPAA

Why You'll Love Working Here Valenz is proud to be recognized by Inc. 5000 as one of America’s fastest-growing private companies. Our team is committed to delivering on our promise to engage early and often for smarter, better, faster healthcare . With this commitment, you’ll find an engaged culture – one that stands strong, vigorous, and healthy in all we do.

Benefits

Generously subsidized company-sponsored Medical, Dental, and Vision insurance, with access to services through our own products, Healthcare Blue Book and KISx Card
Spending account options: HSA, FSA, and DCFSA
401K with company match and immediate vesting
Flexible working environment
Generous Paid Time Off to include vacation, sick leave, and paid holidays
Employee Assistance Program that includes professional counseling, referrals, and additional services
Paid maternity and paternity leave
Pet insurance
Employee discounts on phone plans, car rentals and computers
Community giveback opportunities, including paid time off for philanthropic endeavors

At Valenz, we celebrate, support, and thrive on inclusion, for the benefit of our associates, our partners, and our products. Valenz is committed to the principle of equal employment opportunity for all associates and to providing associates with a work environment free of discrimination and harassment. All employment decisions at Valenz are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics. Powered by JazzHR

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Healthcare Data Scientist – Claims, Quality, & Provider Performance

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