Computational Epidemiologist

Cambridge MA, United States

Newtown PA, United States

Odysseus Data Services (https://odysseusinc.com/) - is a fast-growing US-based company focused on the creation of a single platform that will combine medical history data from clinics all over the world. Our goal is to provide a vast information base to be used by scientific researchers, medical centers, and institutes, as well as the pharmaceutical industry and insurance companies.

Today Odysseus Data Services is an active member of the Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") consortium (https://www.ohdsi.org/), whose main mission is to improve healthcare systems around the world by collecting and organizing data on the treatment of various diseases and then combining this data into a single, standardized, universally-accessible knowledge base to bring out the value of health data through large-scale analytics.

Odysseus Data Services (Odysseus) has an exciting opening for an Computational Epidemiologist. This role will be responsible for supporting the development, maintaining, and troubleshooting of the cutting-edge distributed solutions in the Real-World Evidence (RWE) area, utilized by the researchers in Pharmaceutical, Healthcare and Payer industries. Odysseus is looking for a self-driven individual who can hit the ground running, quick learner and wants to be a part of our dynamic global team.

Responsibilities

Lead and contribute to the design of observational database analysis, including authoring protocol, reviewing and providing relevant epidemiological and project-specific comments to statistical analysis plans and analysis output
Participate in the design and development of standardized analytic tools to generate reliable and reproducible evidence in a network of observational data
Contribute to the execution of observational database analyses using standardized analytical tools and writing statistical packages
Contribute to the dissemination of scientific information through technical reports and publications in peer-reviewed literature.
Work closely with healthcare and pharmaceutical customers to identify their needs
Contribute to the development of complex phenotypes using advanced analytic approaches (i.e. machine learning, incorporating unstructured data sources using NLP, etc.)

Required Skills

Graduate degree (MS, PhD, MD, etc.) in epidemiology, biostatistics, pharmacy, public health or related clinical discipline plus two years’ experience in observational research. PhD preferred
Experience in designing and conducting healthcare studies and in development and applications of advanced analytics solutions
Strong epidemiology and biostatistics background
Experience using OHDSI tools and analytical methods is a big plus
Compensation is based on experience, education and skills

Required Experience

Epidemiology: 2 years (Required)
Biostatistics: 2 years (Required)
Healthcare of Pharma: 1 year (Required)

Apply Now!