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Brigham and Women’s Hospital, Boston, MA – Postdoctoral Fellow in Causal Inference
Company Information: Hospital in the Boston area engaged in tons of innovative research.
Position Title: Postdoctoral Fellow in Causal Inference
Duties and Responsibilities: 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 be in support of 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), collaborating division (Pharmacoepidemiology), and with faculty at th
Position 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 analysis 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.
Salary Range: Starting from $65,000
Benefits:
Website: https://druguselab.bwh.harvard.edu/
Application Information: 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.
Contact Email: aakenroye@bwh.harvard.edu
Application Deadline:
Company NameBrigham and Women’s Hospital, Boston, MA
Company Information
Hospital in the Boston area engaged in tons of innovative research.
Position TitlePostdoctoral Fellow in Causal Inference
Duties and Responsibilities
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 be in support of 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), collaborating division (Pharmacoepidemiology), and with faculty at th
Position 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 analysis 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.
Salary RangeStarting from $65,000
Position or Company Websiteharvard.edu
Application 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.