Company Summary

Imagine if we could match patients with the treatments that prove the most effective for them . . .GNS Healthcare applies a powerful form of AI called causal machine learning to predict which treatments and care management programs will work for which patients, improving individual patient outcomes and the health of populations, while reducing the total cost of care.

Headquartered in the biotechnology and health IT center of Cambridge, MA, our patented REFS™ technology is based on recent breakthroughs in causal machine learning and AI that transforms massive quantities of patient data into computer models of disease at molecular, patient, and health system levels. These computer models power up solutions, products, and services that health plans, biopharmaceutical companies, health systems, and patient foundations utilize to slow disease progression, reduce adverse events and hospitalization, and improve therapeutic effectiveness. Our platforms and solutions have been validated across more than 35 diseases including oncology, cardiovascular and metabolic disease, autoimmune diseases, neurology, etc. and have appeared in over 40 peer-reviewed publications.

Position Summary

In this role, you will be leading a multidisciplinary team of scientists using the GNS REFS machine learning platform to develop models and analytics that are the core of GNS products and solutions in the managed care and pharma space. You will work collaboratively with Research, Product Management, and Client Services teams on product development and delivery of solutions for healthcare payer and pharma/bio-tech clients. The ideal candidate will provide overall leadership in the application of machine learning to the data modeling team, including managing direct reports.

The Director of Real World Evidence Modeling should be passionate about applying cutting-edge methods to solve some of the biggest issues in healthcare at the intersection of managed care and pharma. Experience with real world efficacy of drugs and "beyond the pill" interventions. The person in this role will work with multiple inputs from a variety of sources including scientific direction, technical direction, production expediency, and client feedback.

Responsibilities

• Provide hands-on, exceptional data science and modeling skills to healthcare data.
• Manage a growing portfolio of models that power GNS population health solutions.
• Work together with clinical teams to introduce GNS solutions to clients.
• Bring prototype models and analytics into production environments.
• Manage a growing team of modeler and machine learning employees.

Qualifications

• 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 and demonstrated experience in creating predictive models using large longitudinal healthcare datasets (such as claims, EMRs, or disease registries) in the areas of health economics or epidemiology
• 5+ years of working for or working with health plans and/or health systems is a major plus
• Extensive experience working with healthcare data (and in particular, data from health plans and providers), experience using various computational and analytical approaches to disease modeling, and a portfolio of projects you can show and talk about
• Solid understanding of the incidence, prevalence, risk factors, co-morbidities, co-medications, and outcome measures of disease and how these are represented in (or created from) data
• Excellent communication skills and ability to communicate technical material to non-technical audiences, simply and clearly
• Excellent management, organizational, and recruiting skills and a strong track record of building cohesive and motivated teams
• Friendly and courteous and good at finding ways to have fun under the pressure of deadlines

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 a track record of success and a passion for creating change. We believe that strong teams supercharge the performance of individuals, create a fun and dynamic workplace and great results for our clients and the people they serve.

We are passionate about our work and believe in the ability of our technology to change the world. Our core values of integrity, collaboration, value, diversity, and game-changing guide our behaviors with each other and our clients.

GNS offers competitive salaries, stock options, unlimited vacation, health, dental and vision insurance, life insurance, long-term disability, 401(k), generous parental leave, tuition reimbursement, professional development, subsidized parking and gym membership, tasty food, volunteering opportunities, social gatherings, and more.

Equal Employment Opportunity

GNS Healthcare provides equal employment opportunities to all employees and applicants for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity or expression, age, veteran status, disability, pregnancy or conditions related to pregnancy, or genetics. In addition to federal law requirements, GNS Healthcare complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.