Healthcare / Clinical Data Scientist

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 health care 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 has an exciting opening for a Healthcare/Clinical Data Scientist. This role will be responsible for developing, maintaining, and troubleshooting cutting-edge healthcare analytics 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 a quick learner and wants to be a part of our dynamic global team.

Responsibilities

Lead and contribute to the design, development and documentation of standardized analytic tools that will be executed against a network of observational data
Lead the execution of observational database analyses using standardized analytical tools and writing statistical packages
Provide technical support for the data and analysis infrastructure and scientific support
Contribute to writing of protocols and statistical analysis plans, methods development, conduct of simulation studies and statistical/mathematical modeling studies
Lead and contribute to the development of complex phenotypes using advanced analytic approaches (i.e. machine learning, incorporating unstructured data sources using NLP, etc.
Contribute to the dissemination of scientific information through technical reports and publications in peer-reviewed literature.
Lead and contribute to the development of novel analytic tools and techniques to leverage the EHR data for rapid, reliable and reproducible evidence generation

Required Skills

Bachelor or Master’s degree in Information Technology or Computer Science — or equivalent experience in information technology and software development — is required
Graduate degree (MS, PhD, etc.) in Biostatistics/Biomedical Informatics, Computer Science or similar plus two years’ experience in observational research.
Experience in designing and conducting healthcare studies and in development and applications of advanced analytics solutions
Advanced knowledge of a subset of analytical approaches (ex. machine learning, statistical analysis, predictive modeling, visual analytics) and the desire to continually learn and grow
Ability to multi-task and handle numerous complex projects at a time
Knowledge of core principles of epidemiology and biostatistics
Excellent verbal and written communication skills and the ability to clearly articulate highly technical methods and results to diverse non-technical audiences to drive decision-making
Strong knowledge of SQL and R
Enthusiastic, goal-oriented and team player mindset with a genuine passion for improving the quality of healthcare
Experience using OHDSI tools and analytical methods

Required Experience

Data Science: 3 years (Required)
R Language and Development: 2 years (Required)
Healthcare of Pharma: 1 year (Required)

Apply Now!