Healthcare Data Optimization Specialist

4 days ago


Palo Alto, California, United States ZipRecruiter Full time
About the Role

We are seeking a skilled Healthcare Data Optimization Specialist to join our team at Machinify. As a key member of our organization, you will play a crucial role in advancing our machine learning models to identify and audit claims errors from simple errors to outright fraud.

Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Our revolutionary AI-platform has enabled us to develop and deploy industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

Key Responsibilities
  • Master Claim Audits: Delve into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes.
  • Model Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision.
  • Optimize Impact: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients.
  • Tame Complexity: Work with vast, nuanced data pipelines derived from intricate business workflows—often unclean and undefined—to refine them for robust modeling.
  • Drive Team Success: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency.
Requirements
  • You enjoy solving real-world business problems involving data-driven optimization and ML modeling - and have been doing that successfully for a while.
  • You are comfortable measuring and optimizing the direct business impact of work.
  • You are experienced with SQL, handling large-scale data, and are comfortable with at least one programming language (Python, R, etc.).
  • You have experience building ML models using modern ML approaches like Neural Nets or Tree-ensembles from scratch for new applications - making decisions relating to which supervised labels to use, the metric to optimize for, and the features likely to be useful.
What We Offer

Our total compensation package includes a base salary range of $200k-250k, meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. As an equal opportunity employer, we welcome talented and qualified individuals with diverse backgrounds to join our team.



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