Public Health Informatics Fellowship Program (PHIFP)
Centers for Disease Control and Prevention U.S. Department of Health and Human Services
Deadline: Jun 30, 2026
To provide on-the-job training for professionals to apply expertise in computer science, data analytics, and data science to public health to address current and future public health needs. Qualifications: Applicants must be a education: doctoral level candidates: all doctoral candidates must have a doctoral degree (PhD, MD, PharmD, DrPH) from an accredited academic institution in one of the following: Public health, medicine, healthcare/health services research; computer science, data science, or medical/public health informatics; statistics or epidemiology; engineering; operations research; master's level candidates: all master's level candidates must have a master's degree (MPH, MS, MSc) from an accredited academic institution as well as at least one year of documented experience in one of the following: public health, medicine, healthcare/health services research; computer science, data science, or medical/public health informatics; statistics or epidemiology; engineering; operations research; research: PHIFP applicants should document any research or evaluation experience that they completed during or after their academic training; applicants must verify that they are not a citizen of a country designated as a state sponsor of terrorism per this US department of state; Non-U.S. citizens must be legal permanent residents or eligible. How to apply: Applicants must be submit online application form; acceptable experience includes publications, thesis writing and defense, poster presentations, and/or a research or evaluation proposal; application will prompt applicants for: contact information, education, post-graduate training and skills, work and volunteer experience, publications, presentations, and grants, honors and awards, personal statement addressing the following, three recommendation forms, unofficial college or university transcript. Focus: Computer and information sciences.