Software Engineer - Meaningful Matches - Contractor

YOUR TEAM

Nuna’s Meaningful Matches product strives to improve cost, quality, and patient satisfaction by guiding patients to the right primary care physician (PCP) for their healthcare and access needs.

To do this, we’ve built a data processing pipeline that combines the state of the art in provider performance measurement with machine learning and optimization. We serve our match recommendations to customers via API endpoints that they can seamlessly integrate with their existing tech, allowing us to positively impact the lives of hundreds of thousands of patients at a time.

YOUR IMPACT

You will join a growing cross-functional team focused on scaling and building out new product features and deploying them to new customers. You will partner with Product, Engineering, Design and Account Management across the full product lifecycle.

You will have an opportunity to improve our patient-PCP matching product by developing algorithms for new types of matching, enhancing our ability to predict provider performance for different types of patients, and conducting rigorous statistical analysis to measure how well our product works

YOUR OPPORTUNITIES

Work with Product to identify and understand customer’s needs and objectives in implementing Meaningful Matches, and patients’ needs around accessing care

Design new algorithmic features to address those needs using administrative and other data sources

Collaborate with engineering to develop new product interfaces and dashboards that will help to streamline your work and the deployment process

Collaborate with other Data Scientists to estimate the improvements in health outcomes that customers can expect from implementing our product, and present those findings to the customer

Solicit, interpret, and document customer business requirements and help customer come to algorithmic configuration decisions

YOU BRING

Bachelor’s degree or above in quantitative or engineering fields (Statistics, Economics, Mathematics, Health/Medical Informatics, Computer Science, or similar)

Passion to connect with, understand, and shape the healthcare industry

Strong oral and written communication skills with cross-functional audiences of varying levels of technical experience

Attention to detail

Proficiency in SQL and at least one statistical programming language (Python preferred)

Experience implementing and interpreting the results of statistical models

BONUSES

Lived and/or professional experiences with social determinants of health, health disparities, and/or algorithmic bias

Experience with Enterprise Software Deployment

Customer-facing experience strongly preferred

Experience with causal inference research design, especially quasi-experimental methods

3+ years of experience with healthcare and health data