Causal Inference Lead Modeler

Location: Cambridge, MA

Type: Full Time

Min. Experience: Experienced

GNS Healthcare is a big data analytics company that empowers health plans, providers, pharmaceutical companies, and foundations to make intelligent data-driven decisions. GNS provides the analytic solutions that specifically predict the impact of interventions for each individual to improve overall population health and reduce costs.

Based on the MAX™ architecture and patented REFS™ inference engine, GNS uses powerful machine learning and advanced simulation to create a unique combination of risk, efficacy, and engagement analytics to predict personalized intervention ROI. The solutions integrate easily into business processes, scale to support huge and diverse data sets, and provide precision selection that improves intervention effectiveness, reduces wasteful spending, and delivers unmatched speed to value. GNS Healthcare drives intelligent interventions.

You should be an exceptional data scientist and modeler experienced with causal inference and structure learning and have hands on experience with healthcare data.   You should have a demonstrated ability to bridge between the deep domain expertise of the client and the math of machine learning.   You will be working with a team of physicists, data scientists, software engineers and clinicians to solve critical problems in the optimization of the healthcare using generative models of healthcare systems using the GNS REFS platform. 

Roles and Responsibilities:

  • Lead model development and identify insights for leading healthcare insurance companies to uncover opportunities to improve healthcare systems and improve patient outcomes.
  • Turn terabytes of data into information and information into insights using REFS™.
  • Drive innovation on new approaches to data transformation and modeling.
  • Navigate complex client landscapes and rapidly deploy new solutions leveraging tools from the open source machine learning community to meet evolving client needs.

You have

  • MS or PhD in applied mathematics, physics, computer science, engineering or statistics.
  • Experience in machine learning, Bayesian analysis, and causal inference methods
  • An extensive background in machine learning on large longitudinal healthcare datasets (such as claims, EMRs, or disease registries).           
  • Excellent communication skills and are able to communicate technical material to non-technical audiences simply and clearly.

You are

  • Passionate about applying cutting-edge methods to solve some of the biggest issues in healthcare
  • Up for the excitement of a continuous flow of new efforts and clients and are willing to try new things for the sake of learning and fun
  • Able to work with multiple inputs from a variety of sources (scientific direction, technical direction, production expediency, client feedback)
  • Friendly and courteous and good at finding ways to have fun under the pressure of deadlines

GNS’ Company Culture

Our philosophy at GNS is simple:  We cannot transform healthcare with anything less than an all-star team. We are seeking smart, driven people who are experts in their field, have track records of success, and possess a passion for creating change. We believe that strong, collaborative teams supercharge the performance of individuals, create a fun and dynamic workplace and great results for our clients and the people they serve.

GNS offers competitive salaries, stock options, vacation, health and dental insurance for employees and their families, life insurance, long- term disability and a 401(k) plan.  

We are an equal opportunity employer.

No phone calls or recruiters, please.


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