instridehealth
Clinical Research Scientist
At a Glance
- Location
- United States
- Work Regime
- remote
- Compensation
- lary for this role is between $106,000-$118,000. Actual starting salary will
- Posted
- 2026-07-07T13:10:24-04:00
Key Requirements
Required Skills
Domain Knowledge
- Clinical
Benefits & Perks
n Our Team Generous benefits package (401k with match, Flexible PTO, paid ho
Requirements
Independence and experience with clinical data management, analytics, statistical analysis (SAS, R, or equivalent), and data quality assurance methodologies.
Demonstrated experience conducting clinical research, outcomes research, quality improvement, or program evaluation initiatives.
Organized, attention to detail, and unwavering commitment to data integrity and continuous quality improvement.
Opportunity to join a mission-driven company that is changing the landscape of pediatric mental health treatment
Chance to make a far-reaching impact by helping children and families access desperately-needed, evidence-based care
We want to make our clinical services available for everyone, no matter where you come from, what you look like, or how you identify.
Responsibilities
This role is ideal for an early-career doctoral level researcher who is passionate about advancing quality, safety, and clinical effectiveness through rigorous research and data-driven evaluation.
The Clinical Research Scientist will play a key role in clinical outcomes evaluation within a highly collaborative, cross-functional environment.
The individual will work closely with clinical, operations, product, and data teams to monitor high standards of care delivery, support evidence-based decision-making, and strengthen organizational quality initiatives.
Participate in the design, execution, and quality assurance for clinical outcomes research initiatives
Manage, analyze, and interpret large clinical and operational datasets using appropriate statistical methodologies.
Collaborate cross-functionally with clinicians, operations leaders, product teams, and data partners to identify opportunities for process improvement and quality optimization.