Lead Healthcare Data Scientist with Azure

Job Title: Lead Healthcare Data Scientist with Azure Location: Remote (EST Only) Employment Type: Contract Duration: 6 month initial contract
About VLink: Started in 2006 and headquartered in Connecticut, VLink is one of the fastest growing digital technology services and consulting companies. Since its inception, our innovative team members have been solving the most complex business, and IT challenges of our global clients.
Job Description:
Lead Healthcare Data Scientist
Key Skills: Healthcare data, Azure Databricks, Python/ Spark/ PySpark, SQL

We're supporting a leading consulting firm looking for an experienced Data Scientists with a background in the Healthcare provider space. Ideal candidates will bring a mix of industry knowledge, data modeling expertise, and hands-on experience with Databricks and Azure. This project will involve advanced analytics and predictive modeling to support strategic initiatives in a healthcare provider environment.

Key Skills & Experience:
10+ years in a Data Scientist or advanced analytics role
3+ years hands-on experience with Databricks and Azure
Proven track record of building predictive models and delivering data-driven insights
Experience working with provider-side healthcare data (EHR/EMR, claims processing, clinical workflows)
Strong collaboration skills in cross-functional teams
Nice to Have:
Familiarity with machine learning pipelines in Databricks
Experience supporting consulting or system integration projects
Background in population health, care delivery optimization, or patient outcomes

Employment Practices:
EEO, ADA, FMLA Compliant
VLink is an equal opportunity employer. At VLink, we are committed to embracing diversity, multiculturalism, and inclusion. VLink does not discriminate on the basis of race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. All aspects of employment including the decision to hire, promote, or discharge, will be decided on the basis of qualifications, merit, performance, and business needs.