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

SUNY Downstate Medical Center
Posted 2 months ago, valid for 12 days
Location

New York, NY, US

Salary

$110,000 - $127,234 per year

Contract type

Full Time

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Sonic Summary

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  • The Department of Epidemiology & Biostatistics at SUNY Downstate Health Sciences University is hiring a full-time Assistant Professor on a tenure-track basis.
  • The successful candidate should have expertise in data science, analytics, and big data computational ecosystems, and be proficient in Python and R.
  • A strong background in applied machine learning, statistical modeling, and data mining is also required for this position.
  • The role includes teaching core data science courses online and on-campus, as well as developing specialized advanced courses.
  • Candidates are expected to contribute to public health research and teaching with a focus on improving health equity, with a preference for those having at least 3 years of relevant experience and a competitive salary.

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.

Qualifications

Required Qualifications

  • 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. 

 




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