Data Science Leader in Alzheimer's Research (Open Rank)

Rutgers University; Piscataway Township (NJ); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, prescription drug, and dental coverage

Paid vacation and holidays

Competitive retirement benefits

Employee educational benefits

Life insurance coverage

Employee discount programs

Job summary

Rutgers University seeks an Open Rank Associate Professor/Professor in Data Science to join the Brain Health Institute. This role involves leadership in data analysis related to Alzheimer's disease and mentorship of emerging researchers. The ideal candidate will have a strong background in machine learning and data handling within interdisciplinary teams.

Benefits include comprehensive health coverage, retirement benefits, and educational opportunities for employees and dependents.

Qualifications

• Strong expertise in data analysis and machine learning.
• Experience analyzing diverse data types including clinical, genetic, imaging, and digital data.
• Record of multidisciplinary collaboration and mentorship.

Responsibilities

• Serve as a key leader in developing data-related aspects of a dementia risk cohort.
• Implement machine learning models to improve diagnostic accuracy.
• Lead a program of federally funded research in Alzheimer's disease.

Skills

Advanced statistical and machine learning techniques

Leadership in research programs

Excellent written and oral communication skills

Experience working with underserved communities

Education

Ph.D., MD, MD/PhD, or equivalent terminal degree in Data Science, Bioinformatics, Neuroscience, or a related field

Job description

Rutgers University seeks an Open Rank Associate Professor/Professor in Data Science to join the Brain Health Institute. This role involves leadership in data analysis related to Alzheimer's disease and mentorship of emerging researchers. The ideal candidate will have a strong background in machine learning and data handling within interdisciplinary teams.

Benefits include comprehensive health coverage, retirement benefits, and educational opportunities for employees and dependents.