Postdoctoral Research Fellow, Observational Health Data Science and Informatics

Postdoctoral Research Fellow, Observational Health Data Science and Informatics

About the Opportunity

Job Summary:

The Observational Health Data Science and Informatics (OHDSI) Center housed within the Roux Institute at Northeastern University (NU) is a new administrative hub of the largest observational health research community in the world. The OHDSI Center @ the Roux Institute works to advance OHDSI's research mission of improving health by empowering a community that collaboratively generates evidence that promotes better health decisions and better care. As part of a multi-institution team, the OHDSI Center is participating in a project to provide support to the U.S. Food and Drug Administration's Biologics Effectiveness and Safety (BEST) program. The mission of the BEST program is to conduct safety and effectiveness surveillance of biologic products, such as vaccines, tissues, and advanced therapeutics.

We seek a postdoctoral fellow to join our team focused on developing statistical methods and applying them to observational data from large-scale federated datasets (e.g. electronic health records and administrative claims data), with specific applications to the safety of biologics. This research will directly improve our ability to use real world data to characterize patient populations, construct population level estimates relating exposures to health outcomes, and to enhance clinical decision making through improved patient-level predictions.

Responsibilities:

This fellow will collaborate with a growing OHDSI Center team of faculty, staff, postdocs, and students to develop and test statistical methodologies related to the use of real world data (e.g. electronic health records and administrative claims data) to better analyze observational health studies. Fellows will be expected to publish and present their work in leading journals and conferences, participate in departmental seminars, and meet regularly with the OHDSI Center research team. There are also opportunities to mentor junior team members and provide educational support across the Center. The ideal candidate will have a strong statistical and computational background, experience processing and analyzing large datasets, and outstanding communication skills.

Qualifications:

• Ph.D. or equivalent degree in Biostatistics, Data Science, Statistics, Epidemiology, Computer Science, or related fields
  
  
• Research experience in observational health data theory/methods
  
  
• Demonstrated experience working with large observational health databases and/or medical claims data
  
  
• Advanced experience in statistical programming languages such as R or Python and familiarity with version control (i.e., Git/Github)
  
  
• Excellent writing and communication skills
  
  Position Type
  
  Research
  
  Additional Information
  
  Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.
  
  All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
  
  To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.
  
  
  To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Portland-ME/Postdoctoral-Research-Fellow--Observational-Health-Data-Science-and-Informatics_R109484
  
  
  
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