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 Apply tot his job Apply To this Job