Two-year, renewable post-doctoral position to work in the areas of infectious disease modeling (specifically applied to tuberculosis and COVID-19) and/or surveillance and monitoring of substance use disorders. The successful applicant will be part of a team of biostatisticians, epidemiologists, and clinician researchers, with primary mentoring by Dr. Laura White.

This position will allow for the development and implementation of advanced, innovative statistical and machine learning approaches in one or both of these areas of application. Additionally the position will allow for mentoring and supervision of doctoral and or MS students. We are particularly interested in applicants who have experience with large administrative datasets, machine learning methods, Bayesian statistics, and/or infectious disease modeling. However, we will consider qualified applicants with relevant and related training and interest in these areas. A PhD or equivalent in statistics, biostatistics, or related field, with good computing skills is required.

The position also has potential for teaching opportunities for interested applicants.

Successful applicants are highly motivated, dependable, and have excellent communication and writing skills. Strong programming skills are required in R. Experience with Linux cluster computing environment is strongly preferred.

Candidates should hold a PhD or equivalent doctoral degree in statistics, or biostatistics with strong computing skills. Applications will be considered until the position is filled.

Interested applicants should send their curriculum vitae, a cover letter detailing research experience and how they will contribute to our goals to engender a more inclusive and diverse school, and contact information for three references to lfwhite@bu.edu .

Please note all newly hired staff and faculty will need to be in compliance with Boston University’s COVID-19 Vaccination and Booster Requirement within 30 days of date of hire. You must upload your vaccine documentation or request a medical or religious exemption (instructions ). For further information on the University’s response to COVID-19, please visit the COVID-19 Resources site. 

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.