GNS Healthcare is the leader in health data analytics. The company has built and maintains a suite of analytics capabilities hosted in the cloud and applied to interesting problems found in the pharmaceutical, care delivery and managed care domains. Over the course of completing more than 100 projects in these domains, the company has developed one of the most powerful health informatics platforms on earth, and refined how it delivers value to its clients every day.

We are looking for an exceptional and innovative Research Scientist or Biostatistician with experience in Health Economics and Outcomes Research (HEOR), who can communicate effectively and work collaboratively with clients. 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 work with clients to 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.

Roles and Responsibilities:

• Lead awarded studies of high complexity in a timeline driven manner and achieve high client satisfaction.
• Work closely with the internal research teams and clients to evaluate strategy, define research questions, write statistical analysis plans/study protocols, participate in the full research process, edit the full body of reports, and author publications and submissions to scientific meetings.
• Directly, or by supporting other GNS Healthcare scientists, offer leadership in the advancement of observational studies methodologies and innovations.
• Provide senior oversight to other awarded studies and responsible for managing issue escalations.
• Perform data manipulations and develop algorithms on multi-data sets that create the analytic files necessary to support analyses.
• Utilizing industry standard as well as cutting-edge health economic analytical and statistical techniques, conduct disease specific analyses that provide insight into therapeutic areas and clinical care provided.
• Using primarily R, produce output-reports, tables and figures-driven by project specific needs.
• Oversee and manage quality, on-time delivery of proposals.

Job Qualifications and Requirements:

• Senior level position requires PhD or Master’s degree with 5-6 years of experience, and Associate level position requires Master’s degree with 1-2 years of experience in biostatistics or epidemiology.
• Working knowledge of machine learning, Bayesian statistics and Bayesian graphical theory
• Expert level programming in R required.
• Familiarity with the UNIX and cluster computing environment preferred
• Deep understanding of retrospective and prospective observational study designs and related methodology.
• Solid grounding in understanding the incidence, prevalence, risk factors, natural history course, comorbidities, treatment patterns, and clinical outcome measures of disease.
• Must have extensive experience using large longitudinal datasets such as administrative claims, electronic medical records, or disease registries in the areas of pharmacoeconomics, epidemiology, or health economics. Experience with omics data a plus, but not required.
• Communication skills: Strong personal communication and staff management skills and experience preferred, and a clear ability to communicate technical material to non-technical audiences simply and clearly plan. 
• Extensive senior level experience in research management and leadership (for senior level position).

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

GNS offers competitive salaries, stock options, vacation, health and dental insurance for employees and their families, life insurance, long term disability and a 401(k) plan.

EOE-No phone calls or Recruiters, please.