Assistant Professor (12MO), Data Science & Analytics (Tenure-Track)

SUNY Downstate Health Sciences University • Brooklyn, NY

6d

About The Position

Are you looking to take your career to new heights with a leader in healthcare? SUNY Downstate Health Sciences University is one of the nation's leading metropolitan medical centers. As the only academic medical center in Brooklyn, we serve a large population that is among the most diverse in the world. We are also highly-ranked by Castle Connolly Medical, a healthcare rating company for consumers, among the top 5 leading U.S. medical schools for training doctors. Bargaining Unit: UUP Job Summary: The Department of Epidemiology & Biostatistics in the School of Public Health at SUNY Downstate Health Sciences University is seeking a full-time Assistant Professor (12MO), Tenure-Track. The successful candidate will: Demonstrate expertise in data science, analytics, and big data computational ecosystems. Operate effectively within data-intensive computing environments and possess a deep working knowledge of both Python and R for data analytics and big data interfacing. Demonstrate a strong background in applied machine learning, statistical modeling, and data mining. Teach both online and on-campus sections of core data science training courses, as well as developing specialized emphasis areas or advanced courses that align with the School's strategic focus on population health and community-engaged research. Contribute to the School's commitment to training the next generation of public health leaders through excellence in research, service, and interdisciplinary teaching focused on improving health equity within urban and immigrant populations.

Requirements

• Terminal Degree (PhD, MD, ScD).
• Ability to operate effectively within data-intensive computing environments and ecosystems, with analytic expertise in omics data and bioinformatics, and possess a deep working knowledge of machine learning, statistical modeling, and data mining.
• Successful attainment of extramural funding and demonstrated research expertise evidenced by a substantial publication record in high quality journals.

Responsibilities

• Demonstrate expertise in data science, analytics, and big data computational ecosystems.
• Operate effectively within data-intensive computing environments and possess a deep working knowledge of both Python and R for data analytics and big data interfacing.
• Demonstrate a strong background in applied machine learning, statistical modeling, and data mining.
• Teach both online and on-campus sections of core data science training courses, as well as developing specialized emphasis areas or advanced courses that align with the School's strategic focus on population health and community-engaged research.
• Contribute to the School's commitment to training the next generation of public health leaders through excellence in research, service, and interdisciplinary teaching focused on improving health equity within urban and immigrant populations.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 1-10 employees