Assistant Professor, Computer Science, Data Science and Biomedical Data Science
Off-Campus
Meharry Medical College
Daily Operations
- Demonstrated ability to communicate effectively verbally and in writing.
- Ability to integrate technology effectively and appropriately into the teaching and learning process.
- Ability to successfully interact with students, other educators and educational institution representatives, and the public in a professional manner.
- Ability to plan, evaluate and revise curricula, course content and course materials and methods for courses within the SACS
- Maintain regularly scheduled office hours to advise and assist students
- Collaborate with colleagues to address teaching and research issues
- Assist in working on graduate internships in computer science, data science and health disparities
- Ability to lead and supervise students in academic research related to problems in health disparities utilizing artificial intelligence and machine learning techniques.
- Keep abreast of development in your field by reading current literature, talking with colleagues, and participating in professional conferences
- Develop and deploy impactful and socially-responsible scientific knowledge and practical technologies that empower society to improve the quality of life
- Ability to work collaboratively across university departments.
- Participate and lead grant writing/submission, scholarly publications in refereed journals, and research design.
- Assist in creating and eventually lead a seminar series focused on the use of computer science and data science to eliminate health disparities.
- Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues
- Participate in campus and community events
Required Skills
- Use of mainstream programming languages for computer science and data science, including Python, R, SQL, and SAS.
- Proficient in multivariate statistical mathematics in biomedical applications
- Use of “other” potential programming languages including Java, Scala, Julia, TensorFlow, Go, Spark
- Excellent written and verbal communication skills.
- Excellent interpersonal communication skills.
- Sound judgment and maturity, exemplified by consistent professionalism in working with individuals at all levels, both internally and externally.
Required Education and Experience
- Earned doctorate degree in computer science, data science, bioinformatics, biophysics, or similar with emphasis in artificial intelligence and or machine learning
- Experience in computer science, data science, and biomedical applications of reinforcement learning, Markov decision processes, machine learning techniques, AI, et al.
- At least 3 years of successful teaching experience is preferred, but applicants with the desire to develop expertise in teaching and mentoring are also invited to apply.
- Publication track record commensurate with career path history time-line
- Ability to develop, lead, and obtain external funding in research within 4 years.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bioinformatics Computer Science Java Julia Machine Learning Mathematics Python R Reinforcement Learning Research SAS Scala Spark SQL Statistics Teaching TensorFlow
Perks/benefits: Career development Conferences
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