The Clinical Research Scientist I conducts analyses that help DeepHealth evaluate new product opportunities, understand clinical needs, and assess the performance and potential 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 that support product decisions and inform clinical evidence activities. The position works under guidance while taking responsibility for assigned analyses and developing expertise in medical imaging and clinical analytics.
NOTE: Candidate must reside in Massachusetts
Essential Duties and 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.
PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.
Minimum Qualifications, Education and Experience
Advanced degree with experience in medical R&D (e.g., PhD or MD with 0-3 years of experience, or MS with 4-8 years of experience) (required).
Demonstrated experience conducting clinical research and data analysis using real-world clinical data, including EHR, RIS, and imaging data (required).
Deep knowledge of biostatistics, including mixed effects models and Bayesian inference (required).
Strong analytical skills and ability to communicate analytical findings to clinical, technical, and non-technical audiences (required).
Proficiency in Python for data preparation, analysis, and visualization (required).
Familiarity with Git (or another version control system), Linux (or another Unix operating system), and command-line tools (required).
Experience writing and presenting scientific work, including scientific publications, scientific presentations, or technical reports (required).
Preferred: R or SQL skills.
Preferred: Experience using Google Cloud Platform, particularly BigQuery, for data storage, querying, or analysis.
Preferred: Familiarity with dbt and analytics engineering practices, including organizing source data into documented, reusable analytical tables and implementing data quality checks.
Quality Standards
Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.
Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.
Follows all local, regional and country laws concerning employment.
Follows all DeepHealth policies and procedures.
Follows data privacy, compliance, safety and confidentiality standards at all times.
Practices universal safety precautions.
Promotes good public relations on the phone and in person.
Adapts and is willing to learn new tasks, methods, and systems.
Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines.
Completes job responsibilities in a quality and timely manner.
Travel
This position requires domestic / international travel up to 10%.
Working Environment
Remote / Office / Hybrid. USA.
Compensation:
Based on experience, $110,000-$130,000