Data Scientist - Impact Research

Hazel Health is the nation's largest virtual provider of school-based healthcare services, and has been recognized by Fast Company as “one of the world’s most innovative places to work” in 2023. 

By partnering with districts and health plans across the country, Hazel transforms schools into the most accessible front door to physical and mental healthcare. Today, Hazel's diverse team of licensed providers deliver therapy and medical services virtually (in school or at home) to over four million K-12 students — regardless of their insurance status or ability to pay. Hazel aims to remove all barriers to the mental and physical health care that children need to thrive: in school, at home, and in life.

Helping students and their families feel better takes a team of smart, dedicated people. As an integral member of the Hazel team, you will…

• Make an Impact: Work with a team that is increasing equitable access of quality health care experiences for students and their families
• Enable Scale: Work with a team that is building and professionalizing a high growth high impact social enterprise
• Feel Valued: Work with a team that is being compensated competitively, developed professionally, and celebrated frequently for making a meaningful difference

Check us out at Hazel Health Careers.

The Role:

As a Data Scientist at Hazel Health, you will play a crucial role in our data-driven growth strategy through the effective design, execution, and presentation of impact research studies for our district, school, and payer partners. You will work closely with cross-functional teams to develop scalable and reproducible impact research studies to help our partners understand the value Hazel Health brings to their students, communities, and members.

Location: Remote

What You’ll Do:

• Collaborate with clinical and operational teams to define research questions and hypotheses that test our value propositions and strategic goals.
• Develop study protocols, including sampling strategies, data collection methods, and outcome measures, ensuring alignment with industry best practices and regulatory standards.
• Identify, extract, transform, and maintain relevant data from available systems, while ensuring accuracy, completeness, and compliance with data privacy regulations such as HIPAA and FERPA.
• Apply rigorous statistical techniques to analyze the collected data, including regression analysis, causal inference, time-series analysis.
• Prepare detailed reports and presentations that summarize study results, providing actionable insights for internal and external stakeholders.
• Use version control and collaborative tools (e.g., Git, Notebooks) to manage code and data, enabling scalability of research efforts across multiple studies.
• Contribute to the development of standardized processes and templates that streamline the research workflow for future studies.
• Participate in interdisciplinary team meetings to present findings, discuss ongoing research, and refine study designs based on feedback.

Minimum Requirements:

• 5+ years hands-on experience developing reproducible and scalable research studies.
• Proficiency in statistical methods, including regression analysis, hypothesis testing, causal inference, and time-series analysis.
• Experience with data collection methods, survey design, and managing large datasets, especially within healthcare contexts.
• Strong skills in Python, R, or another statistical programming language for data manipulation and analysis.
• Proven ability to create clear, impactful visualizations using tools like Sigma, Tableau, or libraries like Matplotlib and Seaborn in Python.
• Experience with SQL and working with databases, especially within a healthcare setting, such as handling EHR data or patient records.
• Proficiency in using tools like Jupyter Notebooks, R Markdown, or similar to ensure analyses are well-documented, reproducible, and scalable.
• Familiarity with behavioral health conditions, treatment modalities, assessments and the specific challenges in measuring outcomes in this field.
• Ability to clearly communicate complex analytical findings to non-technical stakeholders, including clinicians and executives.
• Experience working closely with cross-functional teams, including clinicians, operations, and other data professionals.
• Strong organizational skills to manage multiple research projects simultaneously and ensure timely delivery of results.
• Preference for experience developing behavioral health protocol research or academic impact research studies and can share published work.
• Preference for a Master's or Ph.D. in Data Science, Statistics, Public Health, Behavioral Health, or a related field.