Company Overview

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

The Research Scientist develops analytics and algorithms to expand the company’s product offerings. Using statistics, machine learning, and bioinformatics to process data, you will build models and extract results to deliver insights to our customers. The Research Scientist acts as a vital communications link between the company’s scientists and engineers. 

Responsibilities

• Develop novel machine learning algorithms to improve capability, scale, and accuracy of the REFS platform.
• Work with clients to improve existing analytics and identify novel opportunities to deliver value.
• Translate business problems into appropriate mathematical or statistical formulations.
• Given definition of the mathematical formulation of business problems, develop the analytics and algorithms to solve the mathematical formulation and execute on this development to deliver solutions to customer. 
• Participate in all stages of analytics for product development.
• Write whitepapers to describe novel application of machine learning to precision medicine.
• Develop written standards for best-practice application of the REFS causal modeling platform to problems in precision medicine. 
• Train internal and external customer on the REFS platform.
• Communicate advances in REFS platform analytics to internal applications teams.

Requirements

• Minimum of a Master’s Degree in Mathematics, Physics, Health Informatics, Health Economics, Bioinformatics, Statistics, Biostatistics, Biophysics, or Computer Science; PhD preferred.
• 3 years of relevant work experience.
• Experience in machine learning, probability theory, Bayesian analysis, and causal inference methods.
• Experience in algorithm development and programming.
• Experience working in an interdisciplinary environment is a plus.
• Passion to learn new things and solve problems.
• Strong written and verbal communication; a clear ability to communicate technical material to non-technical audiences simply and clearly.

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.