Senior Data Analyst

1 day ago


Dover, Delaware, United States Delaware State University Full time
Job Summary

We are seeking a highly skilled Data Science Faculty Member to join our team at Delaware State University. This is a unique opportunity to contribute to the advancement of health research and education while enjoying a rewarding career.

The successful candidate will have a strong background in data science, biostatistics, or a related field, with experience in leading research projects and mentoring junior researchers. A Ph.D. in statistics, biostatistics, computer science, artificial intelligence and machine learning, bioinformatics, or a related field is required.

Estimated Salary: $120,000 - $150,000 per year

Responsibilities
  • Lead the data science component of our Research Capacity Core, providing statistical expertise for the design, conduct, monitoring, and analysis of health research studies.
  • Conduct advanced statistical methods and software, such as SAS, R, or Python, to analyze large datasets and develop novel biomedical insights.
  • Mentor early-stage researchers, graduate students, and undergraduate students in research methods and biostatistics.
  • Collaborate with interdisciplinary teams across the university and with external partners to develop comprehensive approaches to health research.
  • Provide biostatistical services to DSU investigators, including protocol development, study design, and analyses of research data using descriptive statistics, inferential tests, and advanced statistical methods and models.
Requirements
  • Ph.D. in statistics, biostatistics, computer science, artificial intelligence and machine learning, bioinformatics, or a related field.
  • Experience conducting data science/bioinformatics related health science research with statistical methods, having a significant publication record and a track record of receiving external funding for their research.
  • Excellent leadership, communication, and interpersonal skills, with the ability to work collaboratively in multidisciplinary teams.
  • Commitment to mentoring and developing early-career researchers and students.


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