Data Scientist - Surgical Analytics Platform
New
S
Surgical Data Science CollectiveHealthcare, Medical Devices
Remote USFull-TimeMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 2+ years
- Required Skills
- PostgreSQLPythonSQLGitMongoDBNumpyPandasscikit-learn
Requirements
- Master's degree (or equivalent experience) in statistics, biostatistics, data science, computer science, or a related quantitative field
- 2+ years of experience in applied data science or quantitative research
- Strong Python skills for data analysis and pipeline development (pandas, NumPy, SciPy, scikit-learn)
- Solid understanding of statistical methods: regression, hypothesis testing, dimensionality reduction (PCA/factor analysis), bootstrap inference
- Experience with SQL databases (PostgreSQL preferred)
- Experience with NoSQL databases (MongoDB)
- Ability to work independently on ambiguous problems
- Strong written communication for technical and non-technical audiences
- Experience with Git and collaborative software development practices
- Experience with healthcare, clinical, or biomedical data (preferred)
- Familiarity with Bayesian methods or mixed-effects models (preferred)
- Experience with cloud infrastructure (AWS — S3, SageMaker, or similar) (preferred)
- Experience building interactive dashboards or data visualization tools (preferred)
- Familiarity with surgical workflow, medical devices, or clinical methodology (preferred)
Responsibilities
- Design and run clinical validation studies, correlating AI-derived metrics with surgical outcomes (e.g., complications, resection extent, procedure duration)
- Develop and refine composite scoring algorithms (PCA-weighted, Bayesian, or other approaches) that summarize multi-dimensional surgical performance into interpretable scores
- Apply appropriate statistical methods (logistic regression, mixed effects, survival analysis, dimensionality reduction) to clinical datasets with clustered, sparse, and heterogeneous data
- Build and maintain Python pipelines that extract, transform, and analyze data from MongoDB, PostgreSQL, and S3 at scale (hundreds to thousands of procedures)
- Design and implement data validation checks, investigate discrepancies across data sources, and ensure reproducibility of analyses
- Work directly with surgeons and clinical researchers to define metrics, interpret results, and refine tools based on clinical feedback
- Produce analysis reports, methodology documentation, and presentations for internal teams, clinical partners, and external stakeholders
View Full Description & ApplyYou'll be redirected to the employer's site
