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.
The Research Scientist will join a dynamic team responsible for start-to-finish work on the analysis and interpretation of real world datasets using GNS's powerful cloud-based analytics platform. An ideal candidate is someone who thrives on working in a fast-paced and exciting team environment in one of the most cutting-edge industries where big data analytics meets healthcare. You will carry out analysis projects using our proprietary, supercomputer-powered Bayesian network modeling and simulation platform, and will synthesize these results into meaningful reports for clients and product development.
Work as part of internal research teams and with clients to evaluate study design, define research questions, write statistical analysis plans/study protocols, conduct analyses, participate in the full research process, edit the full body of reports, and author publications and submissions to scientific meetings.
Complete studies of high complexity in a timeline driven manner and achieve high client satisfaction.
Perform predictive and causal modeling using both proprietary and off-the-shelf tools.
Perform data manipulations and develop algorithms on multi-data sets that create the analytic files necessary to support analyses.
Present information in a clear and concise way to clients and collaborators and assist them to understand the data and discuss how to incorporate the information into their processes.
Troubleshoot with clients to discuss and refine models as needed.
Scientific communications to peer-reviewed journals and conferences
Minimum of a Master's Degree in Epidemiology, Statistics, Biostatistics, Data Science, Mathematics, Health Informatics, Health Economics, Bioinformatics, Computational Biology, Biophysics, or Computer Science, PhD is a plus.
2 years of relevant work experience.
Expert level programming in R required.
Experience in machine learning, probability theory, Bayesian analysis, and causal inference methods is a strong plus.
Familiarity with the UNIX and cluster computing environment preferred.
Experience handling and manipulating large data sets, EHR and claims data 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.
Title commiserate with experience
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.