Professional opportunities available within the OHDSI community

Large Pharmaceutical client looking for a remote Observational Health Data Analysis to join their team!

We are looking for an expert Observational Health Data Analyst to spearhead the analysis of all existing observational health data. This individual will be responsible for performing the characterization and quality analysis of data, utilizing statistical and database programming methodologies to answer key research questions. We are looking for this person to be a great team player, a self-starter, and a true problem solver.

Responsibilities:
• Lead and organize programming and oversight activity for the analysis of observational health data, ensuring quality and timeliness
• Develop and apply statistical methods to large-scale observational datasets
• Perform statistical analysis utilizing various SQL and R procedures
• Utilize statistical methodologies related to the use of real-world data

Qualifications:
• Minimum of a Bachelors’ Degree in Biostatistics, Public Health, Epidemiology, Informatics, Computer Science, or related disciplines is required
• SQL/R required
• Registry data / observational health data experience required
• Observational outcomes partnership data model experience required
• Experience with standard ODHSI set of tools / R packages
ODHSI experience - preferred

Please email me at Jkimack@medasource.com if interested!

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Hi, all. The Department of Biomedical Informatics at Columbia University is seeking a highly motivated data science engineer to support large-scale observational research within the OHDSI (Observational Health Data Sciences and Informatics) network. This role will focus on the design, implementation, and execution of distributed network studies using electronic health record (EHR) and administrative claims data to generate real-world evidence.

The successful candidate will contribute to characterization, population-level estimation (causal inference), and patient-level prediction analyses across multi-institutional data networks. This position offers a unique opportunity to work at the intersection of biomedical informatics, data science, and clinical research within a leading academic medical center.

This position is a full-time two-year position with a possibility of an extension, contingent on available funding.

Here is the link:

Thanks!