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Form of workAbout the Opportunity
Job Summary:
The Observational Health Data Science and Informatics (OHDSI) Center housed within the Roux Institute at Northeastern University (NU) works with the largest Observational Health research community in the world to advance the mission of improving health by collaboratively generating evidence that promotes better clinical 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 (FDA BEST) program to conduct safety and effectiveness surveillance of biologic products, such as vaccines, tissues, and advanced therapeutics.
We seek a postdoctoral fellow to join our growing team and play a pivotal role in developing and applying statistical methods to large-scale federated observational datasets e.g. electronic health records (EHRs) and administrative claims data. This research will directly improve our ability to use real world data (RWD) to characterize patient populations, construct population level estimates relating exposures to health outcomes, and to enhance clinical decision making through improved patient-level predictions. 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. This Fellow will also have opportunities to interact with key members of the FDA CBER Center and collaborate with experts around the world to generate evidence in support of health policies. Teaching and mentoring opportunities are available.
The ideal candidate will have a strong statistical and computational background, experience processing and analyzing large datasets (preference for EHRs or medical billing and claims), and excellent communication skills.
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:
Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more 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.
Job Summary:
The Observational Health Data Science and Informatics (OHDSI) Center housed within the Roux Institute at Northeastern University (NU) works with the largest Observational Health research community in the world to advance the mission of improving health by collaboratively generating evidence that promotes better clinical 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 (FDA BEST) program to conduct safety and effectiveness surveillance of biologic products, such as vaccines, tissues, and advanced therapeutics.
We seek a postdoctoral fellow to join our growing team and play a pivotal role in developing and applying statistical methods to large-scale federated observational datasets e.g. electronic health records (EHRs) and administrative claims data. This research will directly improve our ability to use real world data (RWD) to characterize patient populations, construct population level estimates relating exposures to health outcomes, and to enhance clinical decision making through improved patient-level predictions. 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. This Fellow will also have opportunities to interact with key members of the FDA CBER Center and collaborate with experts around the world to generate evidence in support of health policies. Teaching and mentoring opportunities are available.
The ideal candidate will have a strong statistical and computational background, experience processing and analyzing large datasets (preference for EHRs or medical billing and claims), and excellent communication skills.
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 considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more 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.
