Clinical Research Scientist
DeepHealth
Opportunity published from Recruitee · applications stay with the original hiring source.
About the opportunity
The Clinical Research Scientist I conducts analyses to help DeepHealth evaluate new product opportunities, understand clinical needs, and assess the performance and impact of AI-enabled medical imaging products.
Working within the Clinical Development division, this scientist translates clinical and product questions into analytical tasks, analyzes real-world healthcare data, and communicates findings to support product decisions and inform clinical evidence activities.
This is a hybrid work model position. Candidates must reside in Massachusetts. Travel requirements include domestic and international travel up to 10%.
Key responsibilities
- Collaborate with clinical, product, and technical teams to deliver analytics supporting clinical AI product validation.
- Query, combine, clean, and validate healthcare datasets, working with technical teams to resolve data issues and documenting definitions and limitations.
- Conduct exploratory and statistical analyses to characterize patient populations and clinical workflows, assess product performance, and evaluate the feasibility and potential clinical value of new product opportunities.
- Develop reproducible analyses and reusable tools, checking the accuracy of code and outputs and documenting assumptions, methods, and analytical decisions.
- Communicate findings and practical implications with non-technical stakeholders to support product decisions, clinical evidence planning, and scientific communications.
- Follow applicable data privacy, security, and quality requirements.
- Adapt and learn new tasks, methods, and systems while maintaining quality and timely completion of job responsibilities.
Qualifications
- Advanced degree with experience in medical R&D: PhD or MD with 0-3 years of experience, or MS with 4-8 years of experience.
- Demonstrated experience conducting clinical research and data analysis using real-world clinical data, including EHR, RIS, and imaging data.
- Deep knowledge of biostatistics, including mixed effects models and Bayesian inference.
- Strong analytical skills and ability to communicate analytical findings to clinical, technical, and non-technical audiences.
- Proficiency in Python for data preparation, analysis, and visualization.
- Familiarity with Git or another version control system, Linux or another Unix operating system, and command-line tools.
- Experience writing and presenting scientific work, including scientific publications, scientific presentations, or technical reports.
Nice to have
- Proficiency in R or SQL skills.
- Experience using Google Cloud Platform, particularly BigQuery, for data storage, querying, or analysis.
- Familiarity with dbt and analytics engineering practices, including organizing source data into documented, reusable analytical tables and implementing data quality checks.
Job details
- Location: Massachusetts, USA
- Work model: Hybrid
- Compensation: $110,000 - $130,000 based on experience
- Travel: Up to 10% domestic / international travel
About the company
DeepHealth evaluates and develops AI-enabled medical imaging products, driving innovation in clinical development and healthcare solutions. The company is committed to rigorous scientific methods, data privacy, compliance, and quality standards across all operations.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
