Faculty Equivalency in Data Science
4 weeks ago
The Faculty Equivalency in Data Science position at Delaware State University offers a unique opportunity for a skilled professional to join our research community as a faculty equivalent. In this role, you will work closely with our researchers and graduate students to design, conduct, and analyze studies that advance our understanding of health disparities. With your expertise in data science, you will play a critical role in shaping our research agenda and contributing to the advancement of knowledge in the field.
We are seeking someone with a strong background in data science, biostatistics, computer science, and machine learning, who has a proven track record of securing research funding and publishing in top-tier journals. Your ability to communicate complex ideas effectively, combined with your passion for mentoring and developing early-career researchers, will make you an invaluable asset to our team.
We offer a highly competitive salary range of $140,000 - $170,000 per year, commensurate with experience. If you are committed to advancing our research goals and making a meaningful impact, we invite you to apply.
About the Position:
This is a full-time appointment, with a 100% grant-funded faculty-equivalent appointment under the direction of the co-Principal Investigator of the RCMI grant WCHBS. The ideal candidate will have a strong background in data science, biostatistics, computer science, and machine learning, with a demonstrated ability to work collaboratively with interdisciplinary teams.
Key Responsibilities:
* Work closely with researchers and graduate students to design, conduct, and analyze studies that advance our understanding of health disparities
* Develop and implement innovative data mining techniques and analytical tools to analyze complex health research data sets
* Collaborate with interdisciplinary teams to develop comprehensive approaches to health research
* Mentor early-stage researchers and graduate students in data science and quantitative research methods
Required Qualifications:
* PhD or comparable doctorate in data science, biostatistics, computer science, artificial intelligence, and machine learning
* Significant publication record and a track record of receiving external funding for research
* Excellent leadership, communication, and interpersonal skills
* Ability to work collaboratively in multidisciplinary teams
What We Offer:
* Highly competitive salary range of $140,000 - $170,000 per year, commensurate with experience
* Comprehensive benefits package, including health care, dental, vision, retirement, deferred compensation plans, flexible spending accounts, life insurance, long-term disability, holidays, vacation, and sick leave
* Opportunities for professional growth and development in a dynamic research environment
How to Apply:
For more information and to apply, please visit our website.
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