Senior Data Scientist (Healthtech)

Carex Consulting Group; Washington (District of Columbia); Ibrido; USD 125.000 - 145.000; Tempo pieno

Descrizione del lavoro

Carex Consulting Group is partnering with a HealthTech startup to hire a Senior Research Scientist who will serve as the analytical backbone of a national youth mental health initiative. This hybrid role in Washington, DC focuses on rigorous research design, high-quality analyses, and building data and measurement systems behind a large-scale resource.

The ideal candidate has a PhD or equivalent with 5+ years of hands-on research, strong statistics, and proficiency in R/Python within Databricks

Competenze

• PhD or equivalent expertise with 5+ years of hands-on quantitative research experience.
• Strong command of statistical methods, research design, measurement, and validation.
• Advanced proficiency in R and/or Python for analysis, data prep, and workflows.
• Experience applying large language models or generative AI to research and analytics workflows.
• Familiarity with Databricks and Azure environments preferred.
• Experience building composite indices or measurement frameworks; geospatial analysis a plus.
• Proven ability to produce rigorous scientific writing and peer‑reviewed research.
• Clear scientific and technical communication in English, written and verbal.

Mansioni

• Drive development of a nationally significant youth dataset across four surveys and thousands of participants.
• Design rigorous quantitative methods, measurement approaches, validation studies, and analytical frameworks.
• Lead end-to-end analysis from data prep and modeling to interpretation and delivery of insights.
• Evolve the data platform from static dashboards to an interactive, explorable experience for stakeholders.
• Collaborate with product and engineering to prototype AI-enabled tools for data interrogation.
• Develop analytical workflows using R/Python in Databricks and Azure.
• Lead peer‑reviewed manuscripts and validation publications supporting the initiative.
• Translate complex analyses into clear technical documentation for partners.
• Adapt to a fast-paced startup environment, continually learning new methods.

Conoscenze

Statistical methods

R/Python

LLMs / Generative AI

Data visualization & measurement

Geospatial analysis

Scientific writing

English communication

Collaboration with product/engineering

Formazione

PhD or equivalent

Strumenti

Databricks

Azure

Descrizione del lavoro

Carex is partnering with a HealthTech startup partner to hire a technically strong Senior Research Scientist who will serve as the analytical backbone of a high-profile, multi-year national youth mental health initiative. This is a hybrid role in Washington, DC. This role will focus on designing rigorous research methods, producing high-quality analyses, and engineering the data and measurement systems behind a nationally significant resource spanning four surveys and thousands of young people. Working closely with research leadership, domain experts, product, and engineering teams, this individual will help make behavioral and youth thriving data accessible, scientifically credible, and actionable at scale. Healthtech startup experience is a plus!

What You'll Do

• Drive the development and refinement of a nationally significant youth thriving dataset spanning four surveys and thousands of participants.
• Design rigorous quantitative research methods, measurement approaches, validation studies, and analytical frameworks.
• Lead end-to-end analysis, from data preparation and statistical modeling through interpretation, documentation, and delivery of decision-ready insights.
• Help evolve the data platform from static dashboards into an interactive experience where stakeholders can explore and query findings.
• Partner closely with product and engineering teams to build prototypes and AI-enabled tools that allow stakeholders to independently interrogate behavioral data.
• Develop reliable analytical workflows and data products using R and/or Python within Databricks and Azure environments.
• Lead peer-reviewed manuscripts, methods papers, and validation publications that strengthen the initiative’s scientific credibility.
• Translate complex analytical decisions into clear technical documentation and collaborate effectively with research, product, and engineering partners.
• Contribute in a fast-paced startup environment by testing new approaches, navigating uncertainty, and continuously learning new methods and domains.

What You'll Bring

• A PhD or equivalent expertise, with 5+ years of hands-on, end-to-end quantitative research experience.
• Strong command of statistical methods, research design, measurement, and analytical validation.
• Advanced proficiency in R and/or Python for statistical analysis, data preparation, and research workflows.
• Solid data science skills and experience collaborating with product and engineering teams; familiarity with Databricks and Azure is preferred.
• Experience applying large language models or other generative AI approaches to research and analytics workflows.
• Experience building composite indices or measurement frameworks and/or conducting geospatial analysis is a strong plus.
• A demonstrated ability to produce rigorous scientific writing, technical documentation, and peer-reviewed research.
• Clear scientific and technical communication skills in English, both written and verbal.
• Comfort working in a fast-paced startup environment with ambiguity, evolving priorities, and opportunities for significant impact.
• Curiosity, adaptability, and a willingness to learn beyond an established area of expertise, paired with a practical “let’s try it” mindset.

Compensation

The salary range for this position is $125,000 to $145,000 annually. The final compensation package will be based on factors such as relevant experience, technical skills, education, certifications, and market considerations. Eligible individuals may also receive annual performance-based bonuses and equity.

Carex Consulting Group is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, or Veteran status.