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 are the foundation of GNS 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 in Precision Medicine 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. This individual hired will have the opportunity to work on projects with a variety of goals 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. The company’s clients focus on a variety of disease areas, so the Research Scientist may be able to work on multiple disease areas, including oncology, rare disease, CNS, metabolic, and cardiovascular.

Responsibilities

• Integrate genomic, clinical, and epidemiological information and interpret findings to understand biological relevancy. Develop reports and presentations for clients and collaborators. 
• 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.
• Data preprocessing and statistical analyses in the field of precision medicine, biomarker identification and patient stratification.
• Perform predictive and causal modeling using both proprietary and off-the-shelf tools.
• Work closely with a crossfunctional team of people including computer scientists, data scientists, product development, account managers, and others to deliver client and collaborators projects
• Troubleshoot with clients to discuss and refine models as needed.
• Scientific communications to peer-reviewed journals and conferences. 

Requirements

• PhD with 2-3 years of post-graduate experience, with training in bioinformatics, computational biology, systems biology, biostatistics, biophysics, or a related discipline. Exceptional MS-level candidates will be considered.
• Demonstrated expertise in using computational modeling, machine learning, informatics, or mathematics to generate insights for biology and disease in at least one area of focus such as oncology, cardiovascular, metabolic/CV, immunology, rare disease, neurology, etc.
• Proficiency with at least one scientific computing or statistical programming language (SAS, Python, R, MATLAB, etc.); experience with R and Bioconductor is preferred
• Experience in handling and manipulating large data sets
• Familiarity with UNIX and a cluster computing environment such as Amazon Web Services is valuable
• Experience in Bayesian analysis and causal inference methods is a strong plus
• Excellent written and oral communication skills
• Experience working in an interdisciplinary environment (e.g. with clinicians, epidemiologists, biologists, etc.)
• 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, 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.