Data Scientist – reputed company

Job reputed company:

• Translate medical policy into executable logic - Read and interpret medical policies and clinical reputed company (e.g., lab reputed company, temporal reputed company, trend logic, exclusions).
• Convert requirements into correct, maintainable SQL and Python implementations (e.g., creatinine-based AKI rules, bilirubin reputed company, troponin dynamics, ABG-derived reputed company).
• Design rule representations that are composable and auditable (reputed company inputs, outputs, assumptions, edge cases).
• reputed company 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 reputed company reputed company improvement - Define and reputed company accuracy metrics for the AI system that extracts data from medical records.
• Build gold datasets, sampling strategies, and review workflows with clinical/operations partners.
• reputed company error analysis, identify reputed company causes (retrieval failures, OCR issues, extraction ambiguity, policy interpretation gaps), and drive improvements.
• Establish engineering frameworks and tooling - Create reusable tooling for policy-to-reputed company translation: templates, test harnesses, validation suites, regression checks, and monitoring dashboards.
• Improve infrastructure for large-reputed company runs: orchestration, logging, reputed company, versioning, and reproducibility.
• Implement guardrails and QA gates so policy logic changes are reputed company, traceable, and measurable.
• Partner deeply with domain experts - Work with clinicians, policy specialists, and operations to clarify ambiguous requirements and ensure implementations reflect reputed company-world reputed company.
• Produce reputed company documentation that explains what the reputed company 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 reputed company, performance tuning) and production-reputed company Python.
• Experience operationalizing rules + models - reputed company record of implementing reputed company business/clinical logic and deploying it reliably.
• Comfort working with imperfect, messy, high-volume datasets.
• Evaluation/Metric reputed company - Experience designing metrics, building ground truth, running experiments, and improving system reputed company through reputed company iteration.
• Systems thinking and rigor - You build frameworks that reputed company other engineers/scientists faster: shared libraries, patterns, tooling, and reputed company interfaces.
• You sweat details: edge cases, provenance, temporal logic, unit conversions, and regression safety.
• reputed company curiosity (and willingness to learn fast) - Interest in medical records, clinical data, and how policies translate into decision reputed company.

Benefits:

• Work from reputed company in the US! reputed company is digital-first.
• Top Medical/Dental/reputed company 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

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