Postdoctoral Research Fellow in Causal Inference

Title Postdoctoral Research Fellow in Causal Inference for Asthma Comparative Effectiveness Research
Institution Brigham and Women’s Hospital
Department/Area Medicine/Allergy-Immunology
Position Description The Drug U.S.E. Lab in the Department of Medicine at Brigham and Women’s Hospital studies the utilization, safety, and effectiveness of monoclonal antibodies approved for the treatment of asthma and other allergic diseases. We leverage innovative study designs, statistical and epidemiology tools, and multi-omics approaches in generating sound evidence on the effectiveness, utilization patterns, and response biomarkers of these biologic therapies in asthma and related diseases.
Dr. Ayobami Akenroye, the PI of the Drug U.S.E. Lab, is a well-trained physician scientist and has successfully obtained funding from a wide range of projects, ranging from descriptive epidemiology to biomarker multi-omics research. The PI has successfully mentored multiple students, residents, and postdoctoral fellows.
The Lab provides ample opportunities for professional development, including mentorship, support for attending scientific conferences, and for successful transition to the next phase of the fellow’s career, among other opportunities. 

A post-doctoral fellowship position is open to work in the Drug U.S.E. Lab under the direction of Dr. Ayobami Akenroye. This will support a current NIH-funded comparative effectiveness study (R01HL173055) that seeks to conduct multiple hypothetical emulated target trials to evaluate the comparative effectiveness of biologics in asthma. We will be using both administrative claims data (integrated and not integrated) and electronic health records data (EHR) to evaluate adaptive (dynamic) treatment strategies and the optimal sequence of biologics therapy in patients eligible for multiple therapies.
The ideal candidate will possess strong quantitative methodological and statistical skills and have experience in applied modern causal inference methods, including the development of innovative methodological approaches to estimate causal effects and modeling time-dependent confounding. In addition to estimating comparative effectiveness, we will examine effect heterogeneity and the intersections between socioeconomic adversity and outcomes in patients. Work will include applications of advanced statistical methods in public health and will involve collaboration with faculty in both the primary division (Allergy/Immunology) and collaborating division (Pharmacoepidemiology), and with faculty at the Harvard T.H. Chan School of Public Health. Responsibilities will include statistical collaboration, methods application (or development, if appropriate), methodological literature reviews, data management and analyses, manuscript writing for journal publications, and presentations at scientific meetings.
Basic Qualifications Education Requirements

• A doctoral degree in epidemiology, biostatistics, computer science, or a related quantitative field

Experience Requirements

• Research experience in causal inference

Technical Requirements

• Strong programming skills in R [Strong programming skills in other languages will also be considered]

Additional Qualifications Preferred Experience and Skill Requirements

• Experience in the analyses of large health databases (e.g., administrative claims data, EHR data). Candidates with administrative claims data experience will be prioritized.
• Excellent written and verbal communication skills
• Highly organized with strong attention to detail and accuracy
• An ability to work collaboratively and independently

   Additional Information: Citizens of all nationalities are welcome to apply. However, International candidates need to be located within the U.S. at the time of hiring.
Special Instructions Applicants should submit a cover letter describing interest in the position and relevant experience, a CV, and two letters of recommendation (can be received after interview) and contact information for three references.   The study PI, Ayobami Akenroye (aakenroye@bwh.harvard.edu ) can answer any questions about the position.   Contact Information For additional questions about the position, please contact Dr. Ayobami Akenroye
Contact Email aakenroye@bwh.harvard.edu
Lab Webpage https://druguselab.bwh.harvard.edu/
Equal Opportunity Employer We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law. The Drug U.S.E. Lab is committed to upholding the values of diversity, equity, and inclusion in our hiring processes. Women and individuals from underrepresented racial and ethnic minority groups are strongly encouraged to apply.
Minimum Number of References Required 2 Maximum Number of References Allowed 2  Position Details