Assistant Professor in Applied Data Science and Analytics

Howard University 

College of Pharmacy and College of Medicine 

Assistant Professor in Applied Data Science and Analytics 

The College of Pharmacy and College of Medicine is seeking applications for two full-time faculty positions at the rank of Assistant Professor in Applied Data Science and Analytics. The successful candidate will be primarily responsible for reinforcing the existing data science activities within the College (which may correspond to a combination of research and instruction, instruction only, or research only) while devoting 40% effort to the newly founded Center for Applied Data Science and Analytics (CADSA) activities. Successful candidates are expected to develop vigorous, extramurally funded research programs in their areas of expertise, actively participate in teaching in-person and online. The position will be filled as soon as a suitable candidate is identified. 

Founded in 1867 in Washington D.C., Howard University is a private co-educational institution of higher learning. The University has approximately 10,000 students enrolled in 13 schools and colleges. Howard University has a rich and successful history of training “Pharmacy Leaders for America and the Global Community”. The College of Pharmacy has 33 FTE faculty, and a number of part-time faculty members who serve a student body of over 300 professional and graduate students. The college is fully accredited by the Accreditation Council for Pharmacy Education (ACPE) and offers the Pharm.D. degree, distance learning-based non-traditional Pharm.D. degree, and Ph.D. degree in Pharmaceutical Sciences. The diverse faculty, student population, and location provide a culturally enriching environment and opportunities for growth and development. 

The minimum requirements are a doctorate in Data Science or a closely related discipline such as Applied Statistics or Computer Science. Research experience within Pharmacy, Pharmaceutical Sciences, or Public Health would be ideal. Particularly, a candidate with expertise in one or two of the following fields is much needed: a) Deep Learning algorithms support; b) Inferring from Noisy and/or Incomplete Data; c) Trustworthy AI. Candidates with previous teaching experience, especially online instructional experiences, will be given preference. 

Howard University is an Equal Employment Opportunity/Affirmative Action Employer. Underrepresented minorities and women are encouraged to apply. 

Complete applications consist of a single PDF file containing the following: 

1) Cover letter, considering the expectations listed above; 

2) Current curriculum vita; 

3) Two-page statement of teaching philosophy; 

4) contact information of three references; 

5) copies of transcripts; and 

6) previous teaching evaluations; 

Please send these items as one pdf document, in the order mentioned, to: Dr. Simon Wang, College of Pharmacy, xiang.wang@howard.edu with a cc to Mrs. Natasha Tiller, College of Pharmacy, natasha.tiller@howard.edu and datascience@howard.edu. A completed application should be addressed to the chair of the search committee with the email subject header “HUDS Pharmacy and Medicine Cluster Hire” Screening will begin immediately and end on January 27. The desired starting date is August 1, 2023.  

Howard University does not discriminate on the basis of race, color, national and ethnic origin, sex, sexual orientation, gender or gender identity, marital status, religion, disability or protected veterans' status. Veterans and people with disabilities are encouraged to apply. Inquiries regarding provisions for persons with disabilities or veterans' status, Equal Employment Opportunity and Title IX should be directed to the Office of Employee Relations and Equal Employment Opportunity at 202-806-1280.