Data Scientist

Surgical Data Science Collective (SDSC)

Data Scientist leading analytical workstreams for AI-powered surgical analytics platform. Designing studies to validate AI metrics against clinical outcomes with emphasis on data pipeline development.

Posted 4/27/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

BootstrapMongoDBNoSQLNumpyPandasPostgresPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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) and NoSQL databases (MongoDB)
Ability to work independently on ambiguous problems — scoping analyses, choosing methods, and communicating trade-offs
Strong written communication — ability to produce clear reports for both technical and non-technical audiences
Experience with Git and collaborative software development practices

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical methodslogistic regressionmixed effectssurvival analysisdimensionality reductionPCAPythondata analysispipeline developmentSQL

Soft Skills

independent workproblem-solvingcommunicationreport writingcollaboration

Certifications

Master's degree