Title: Postdoctoral Research Fellow in Artificial Intelligence
School: Harvard T.H. Chan School of Public Health
Department_Area: Biostatistics
Position Description: The Junwei Lab at Harvard T.H. Chan School of Public Health led by Dr. Junwei Lu, invites applications for a Postdoctoral Research Fellowship. We are seeking candidates with strong backgrounds in statistics or artificial intelligence. The role of this position is to lead pioneering research in developing the methods and theory in the area of AI for science, especially for multi-omics data analysis in biomedical applications. This position will offer collaborations with interdisciplinary teams with experts both in AI, data science, and biomedical science with competitive salary, health insurance, and access to state-of-the-art research facilities on a vibrant campus.
Basic Qualifications: A PhD in (bio)statistics, computer science, applied mathematics, or related fields and demonstrated skill in quantitative research, big data analysis, and AI programming proficiency.
Special Instructions: The ability to work as part of a large, integrated research team and strong verbal and written communication skills are essential. Independent, self-motivated, and able to work collaboratively in a multidisciplinary environment. Previous work in generative AI theory or methods is welcome but not required.
Scientific questions regarding this position can be sent to Junwei Lu at junweilu@hsph.harvard.edu.
Contact Information: Trevor Bierig
Contact Email:
tbierig@hsph.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.
Minimum Number of References Required: 2
Maximum Number of References Allowed: 4
Supplemental Questions: Required fields are indicated with an asterisk (*).
