Machinify

Data Scientist

• Master Claim Audits: Dive 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.
• Grow with Healthcare: Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs.

Staff Data Scientist – Modeling

Data Analyst

• Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.
• Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
• Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.
• Document data transformation logic and lineage to ensure transparency and reusability.
• Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.
• Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.
• Partner with data engineers to build and scale data pipelines, improving performance and reliability.
• Act as a subject matter expert for healthcare claims data—advising on risk, trends, and business impact.
• Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.
• Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.

Healthcare Data Analyst

Frontend Engineer

• Develop new applications & contribute towards the UI and potentially middle-layer development
• Own projects aligned with our product development strategy
• Design and implement solutions to achieve a delightful and intuitive user experience
• Contribute to the underlying platform to ensure it is extensible, scalable, and secure
• Collaborate with team and external stakeholders such as Product Managers, Backend Engineers, UX team, & our customers

Staff Frontend Engineer – Web Apps, Platform

Platform Engineer

• Owning platform extensibility and scalability which is used as the foundation for web services, data services and Machinify’s AI systems
• Develop and maintain scalable and distributed systems to keep them extensible, scalable, and secure
• Design, develop, and maintain robust Scala and Java based systems
• Implement and manage distributed PostgreSQL database systems to ensure optimal performance and data integrity
• Collaborate cross-functionally with other teams that define, design, and ship new features, with the understanding of how our systems must change to support AI platform expansion for future customer-focused deliverables
• Design and implement complex frameworks for applying machine learning techniques to large data volumes
• Deliver reliable and good-performing software
• Troubleshoot and resolve software and database issues in a timely manner.
• Participate in code reviews to maintain high code quality.
• Continuously explore new technologies and integrate them into projects to improve system performance and scalability.

Staff Platform Engineer – Expansion

Backend Engineer

• Rust Coach/Multiplier - An expert Rust engineer who not only builds production-grade systems in Rust, but also sets standards, mentors others, and elevates the team’s overall Rust maturity.
• Contribute to new product development of complex in-browser applications, taking advantage of your holistic view to ensure our application is extensible, scalable, and secure
• Balance customer-facing features and technical debt cleanup to keep the software suite sustainable
• Architect and implement complex applications that apply ML techniques to large volumes of data, simplifying labor-intensive processes through good user experience
• Design systems that work together to deliver a good-performing, reliable application

Staff Data Scientist – Modeling

Healthcare Data Analyst

Staff Frontend Engineer – Web Apps, Platform

Staff Platform Engineer – Expansion

Lead Software Engineer, Backend