7 days old

Research Scientist

GNS Healthcare
Somerville, MA 02143
  • Job Code
    2070777

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.

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 45 diseases including oncology, cardiovascular and metabolic disease, autoimmune diseases, neurology, etc. and have appeared in over 50 peer-reviewed publications.

Position Summary

The research scientist/senior research scientist will join a dynamic team responsible for start-to-finish work on the analysis and interpretation of biological datasets using GNS's powerful cloud-based analytics platform. You will have the opportunity to work with top biopharma companies and research foundations on a variety of projects including discovering new biology, identifying potential disease targets, developing prognostic and predictive biomarkers, defining target populations for clinical trial patient stratification, and predicting patient outcomes to treatment. 

We are looking for someone who thrives while working in a fast-paced and exciting 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.

Responsibilities

  • Collaborate with internal research teams and clients to evaluate study design, define research questions, write statistical analysis plans/study protocols, and conduct analyses
  • Integrate molecular, clinical, and epidemiological information and interpret findings to understand biological relevancy
  • Perform predictive and causal modeling using both proprietary and off-the-shelf tools
  • Develop reports and presentations for clients and collaborators
  • Participate in the publication of findings and submissions to scientific meetings
  • Troubleshoot with clients and internal stakeholders to refine and optimize models
  • Communicate technical results clearly and concisely to clients, discuss how to incorporate information into their processes, and achieve high client satisfaction
  • Complete studies of high complexity in a timeline driven manner

Qualifications 

 Minimum Qualifications (Title commensurate with experience):

  • Master's Degree in a quantitative discipline 
  • 3 years of relevant work experience using genetic and/or 'omics' data
  • Expert level experience programming in R
  • Demonstrated expertise in using computational modeling, machine learning, informatics, or mathematics to generate insights for biology in at least one of the following disease areas: oncology, cardiovascular, metabolic/CV, immunology, rare disease, neurology, etc.
  • Strong written and verbal communication; an ability to communicate technical material to non-technical audiences simply and clearly

Preferred Qualifications:

  •  PhD
  • Experience working with advanced ML techniques, probability theory, Bayesian analysis, or causal inference methods
  • Oncology research experience
  • Familiarity with the UNIX and cluster computing environment
  • A passion to learn new things and solve problems 

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, volunteering opportunities, virtual 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.

Categories

Posted: 2021-01-09 Expires: 2021-02-09

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Research Scientist

GNS Healthcare
Somerville, MA 02143

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