Role overview

Qualifications

Experience handling healthcare data including claims and electronic health records
Proficient in data modeling and crafting visualizations
Ability to communicate insights to stakeholders
Experience with tools like Looker or RStudio

Responsibilities

Develop and enhance analytical capabilities to support mission in chronic disease space
Work closely with Product, Engineering, Clinical, and Operations teams to improve outcomes
Establish connections with healthcare providers and develop data products
Lead the development of data models assessing impact of interventions

Key facts

Remote from: North Carolina (USA)
Full time
Senior (5-10 years)
Data Scientist
English

Hard skills

Data Modeling Data Visualization Health Databases Analytics RStudio Data Mining

Other skills

Communication
Collaboration

About the company

TechStarsGroup LLC

Staffing & Recruiting

TechStarsGroup specializes in the recruitment and placement of information technology professionals for leading SaaS, Health Information Technology, Payments, and e-Commerce software companies . Our services cater to a diverse range of venture backed startups and middle market software product companies. With a proven model focused on networking within the 85% of the professionals "open to other opportunities but not actively in a job search", TechStarsGroup breaks the mold of the recruiting industry practices of focusing on the most readily available candidates. If you are a client in need of adding a key player to your team, TechStars recruiting process compliments your internal efforts and exposes you to candidates you would otherwise never see. If you are a professional looking to make a change TechStars will get to know you and what your trying to accomplish and only present opportunities consistent with those goals.

Company details

IndustryStaffing & Recruiting

Company size2 - 10

Links

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Job description

Senior Data Scientist

Use your Data Science skills in the fight against chronic diseases.

Our client operates a pioneering disease management platform, focusing on delivering value-based care tailored to individuals with chronic conditions. By seamlessly integrating human expertise with cutting-edge software and analytics, the platform actively engages patients soon after diagnosis, ensuring they receive the most appropriate care swiftly. It offers continuous support by employing targeted, evidence-based interventions, significantly enhancing patient outcomes and making a meaningful difference in their health journey.

As a Data Scientist, you will become an integral part of our Data team, tasked with developing and enhancing our analytical capabilities to support our mission in the chronic disease space. Your role will involve modeling data and crafting visualizations to communicate with stakeholders, providing insights that inform decisions and actions. Ideal candidates will have experience handling healthcare data, including claims, prior authorizations, and electronic health records.

In this role, you will work closely with our Product, Engineering, Clinical, and Operations teams to pinpoint opportunities for improving outcomes and monitoring the effectiveness of our interventions for our members and clients. Your contributions will be crucial in establishing strong relationships with healthcare providers by developing data products that support practice transformation initiatives.

After three months, you will have:

- Developed a comprehensive understanding of our data platform, contributing to the enhancement of our data models and pipelines.

- Established connections with practices and providers in the chronic disease sector, showcasing our expertise in creating data and analytics products.

- Worked alongside stakeholders to grasp their business needs and translate these into technical specifications. This includes creating data models, pipelines, and analytics dashboards using tools like Looker or RStudio. For instance, you might employ dbt to construct models that assess medical claims data for identifying the utilization of value care across practices or to evaluate the distribution of medical care among our members and its influence on out-of-pocket expenses.

After 6 months, you will:

- Assume responsibility for and lead the development of data models that assess the impact of our interventions with practices, sharing findings both internally and externally.

- Become a pivotal figure in enhancing our data infrastructure and devising a roadmap for a scalable and modular data architecture to accommodate our team's expansion.

- Take charge of developing utilization and quality metrics, becoming the primary contact for stakeholder queries. You will also use our data resources to explore business opportunities and strategic initiatives.