
1001 - 5000 employees
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
☁️ SaaS
💰 $10M Series A - Machinify on 2018-10
Healthcare Insurance • Artificial Intelligence • SaaS
Machinify is a healthcare-focused AI platform and services company that reshapes healthcare payments and payment integrity. Its AI operating system unifies claims, medical records, contracts, and policies, and uses foundation models and task-specific agents to automate and improve coding, payment accuracy, recoveries, and cost avoidance. Machinify serves health plans (including 18 of the top 20), supports insourced, hybrid, or fully-managed deployments, and emphasizes measurable outcomes — reporting 85+ customers, 270M member lives covered, and $6B+ in annual cost avoidance and recoveries.
🕒 February 25
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
☁️ SaaS
💰 $10M Series A - Machinify on 2018-10
Healthcare Insurance • Artificial Intelligence • SaaS
Machinify is a healthcare-focused AI platform and services company that reshapes healthcare payments and payment integrity. Its AI operating system unifies claims, medical records, contracts, and policies, and uses foundation models and task-specific agents to automate and improve coding, payment accuracy, recoveries, and cost avoidance. Machinify serves health plans (including 18 of the top 20), supports insourced, hybrid, or fully-managed deployments, and emphasizes measurable outcomes — reporting 85+ customers, 270M member lives covered, and $6B+ in annual cost avoidance and recoveries.
• 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.
• 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.
• 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🕒 February 25
Analytics Lead driving data strategies for growth at Duomo, modernizing spiritual platforms. Collaborating with the CEO and managing analytics teams for impactful outcomes.
🕒 February 25
1 - 10
Senior Data Science Manager leading performance marketing strategies at a disruptive insurtech company. Driving improvements through machine learning and managing a team of data scientists.
🕒 February 25
Data Scientist transforming data into actionable insights for logistics and transportation technology firm. Collaborating with engineering teams to build machine learning systems and improve operational outcomes.
🕒 February 25
Senior Data Scientist driving data product strategy and establishing best practices at Shippo. Leading data solution development, mentoring teams, and shaping data science practices.
🇺🇸 United States – Remote
💵 $156k - $212k / year
💰 $50M Series E - Shippo on 2021-06
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
🕒 February 25
Data Governance & Metadata Scientist developing a scalable data ecosystem for DoD customer. Establishing governance frameworks and improving metadata processes while ensuring compliance.