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Data Scientist – Clinical AI at Machinify | JobVerse
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Data Scientist – Clinical AI
Machinify
Remote
Website
LinkedIn
Data Scientist – Clinical AI
United States
Full Time
5 hours ago
Apply Now
Key skills
Python
SQL
AI
About this role
Role Overview
Translate medical policy into executable logic
Read and interpret medical policies and clinical criteria (e.g., lab thresholds, temporal windows, trend logic, exclusions).
Convert requirements into correct, maintainable SQL and Python implementations (e.g., creatinine-based AKI rules, bilirubin thresholds, troponin dynamics, ABG-derived criteria).
Design rule representations that are composable and auditable (clear inputs, outputs, assumptions, edge cases).
Prompt engineering and system parameter tuning for AI configuration that extracts clinical information from medical records.
Build robust clinical feature pipelines.
Create and maintain pipelines that compute clinical features from extracted signals (labs, vitals, flowsheets, notes-derived facts).
Handle tricky realities: missing timestamps, multiple measurement sources, unit normalization, deduplication, conflicting values, provenance tracking.
Own measurement, evaluation, and continuous quality improvement
Define and instrument accuracy metrics for the AI system that extracts data from medical records.
Build gold datasets, sampling strategies, and review workflows with clinical/operations partners.
Perform error analysis, identify root causes (retrieval failures, OCR issues, extraction ambiguity, policy interpretation gaps), and drive improvements.
Establish engineering frameworks and tooling
Create reusable tooling for policy-to-code translation: templates, test harnesses, validation suites, regression checks, and monitoring dashboards.
Improve infrastructure for large-scale runs: orchestration, logging, lineage, versioning, and reproducibility.
Implement guardrails and QA gates so policy logic changes are safe, traceable, and measurable.
Partner deeply with domain experts
Work with clinicians, policy specialists, and operations to clarify ambiguous requirements and ensure implementations reflect real-world intent.
Produce clear documentation that explains what the code is doing and why, with examples and edge-case handling.
Requirements
Strong SQL and Python engineering skills
Ability to translate nuanced requirements into correct SQL (CTEs, window functions, joins at scale, performance tuning) and production-quality Python.
Experience operationalizing rules + models
Track record of implementing complex business/clinical logic and deploying it reliably.
Comfort working with imperfect, messy, high-volume datasets.
Evaluation/Metric mindset
Experience designing metrics, building ground truth, running experiments, and improving system quality through structured iteration.
Systems thinking and rigor
You build frameworks that make other engineers/scientists faster: shared libraries, patterns, tooling, and clear interfaces.
You sweat details: edge cases, provenance, temporal logic, unit conversions, and regression safety.
Healthcare curiosity (and willingness to learn fast)
Interest in medical records, clinical data, and how policies translate into decision criteria.
Tech Stack
Python
SQL
Benefits
Work from anywhere in the US! Machinify is digital-first.
Top Medical/Dental/Vision offerings
FSA/HSA
Tuition reimbursement
Competitive salary, 401(k) with company match
Unlimited PTO
Additional health and wellness benefits and perks
Flexible and trusting environment where you’ll feel empowered to do your best work
Apply Now
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