Rutgers University
Open Rank Associate Professor/Professor in Data Science
Rutgers University, Baltimore, Maryland, United States,
Open Rank Associate Professor/Professor in Data Science
Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the
Apply for this Job
link/button.Position Information
Recruitment/Posting Title:
Open Rank Associate Professor/Professor in Data ScienceDepartment:
RWJ - Brain Health InstituteSalary:
Commensurate With ExperiencePosting Summary
The Herbert and Jacqueline Krieger Klein Alzheimer’s Research Center at the Brain Health Institute (BHI) is seeking data scientists for a tenure-track faculty position at the Associate or Full Professor level at Robert Wood Johnson Medical School (RWJMS) and BHI within
Rutgers Biomedical & Health Sciences
(RBHS). We seek a faculty member who is experienced in using advanced statistical and machine learning techniques to analyze datasets related to aging, Alzheimer’s disease, or related dementias.The successful candidate will work as part of a multi-disciplinary team including neurologists, neuropsychologists, and neuropathologists. The Alzheimer’s Research Center will develop a research cohort of individuals at high risk for dementia. This cohort will be extensively phenotyped for clinical, cognitive, genetic, neuroimaging, behavioral, digital, and blood biomarker measures. Responsibilities will also include mentorship of young investigators.Applicants must have experience with large-scale longitudinal studies and an interest in studying the earliest stages of Alzheimer’s disease. The faculty member will play a critical role in advancing our institution’s research and expertise in the field of Alzheimer’s disease, dementia, and related neurodegenerative disorders, and will be responsible for conducting data-driven research, analyzing complex datasets, and contributing to our institution’s mission of understanding, preventing, and treating these disorders.Qualifications
Minimum Education and Experience:Ph.D., MD, MD/PhD, or equivalent terminal degree in Data Science, Bioinformatics, Neuroscience, or a related field.A research program with currently active federal funding. Preference will be given to NIH-funded investigators at the Associate Professor level or above; however, superb young investigators with NIH funding and a high potential for scientific independence and success will also be considered.Strong expertise in data analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker).Essential Duties and Responsibilities:Serve as a key leader in developing all data-related aspects of a well phenotyped dementia risk cohort.Provide leadership in ensuring robust data analysis protocols.Lead a program of federally funded, data-driven research in Alzheimer’s disease and related dementias.Lead and collaborate on manuscripts using cohort data.Oversee the collection, curation, and management of clinical, genetic, imaging, digital, and biomarker data.Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease.Implement machine learning models to improve prediction, diagnostic accuracy, and monitoring of disease progression.Lead and contribute to grant proposals that support future funding of cohort data collection.Participate in mentoring, training, and professional development of staff, post-doctoral fellows, junior physicians, students, and others collaborating on the cohort study.Job Requirements:Experience in utilizing advanced statistical and machine learning techniques.Ability to develop and lead a program of independent federally funded research.Good understanding of informatics infrastructures to support innovative research.Experience in cross-platform and user-friendly applications development.Knowledge in learning healthcare systems and expertise in clinical data extraction.Academic credentials that qualify for appointment as an Associate Professor or Professor at Rutgers University.Record of successful multi-disciplinary collaboration and mentorship.Strong interest and enthusiasm in helping achieve successful implementation of the new cohort.Excellent written and oral communication skills.Work Environment:
No significant exposures or noise levels. Office/Laboratory/Clinical environment.Special Instructions to Applicants
To become a part of our vibrant research community, applicants should submit a CV and brief statement of research accomplishments and plans to Dr. Michal Beeri at
bhi@bhi.rutgers.edu .Applicants representing diverse backgrounds of all sorts are encouraged to apply. Rutgers University is committed to diversity, equity, and inclusion.
#J-18808-Ljbffr
Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the
Apply for this Job
link/button.Position Information
Recruitment/Posting Title:
Open Rank Associate Professor/Professor in Data ScienceDepartment:
RWJ - Brain Health InstituteSalary:
Commensurate With ExperiencePosting Summary
The Herbert and Jacqueline Krieger Klein Alzheimer’s Research Center at the Brain Health Institute (BHI) is seeking data scientists for a tenure-track faculty position at the Associate or Full Professor level at Robert Wood Johnson Medical School (RWJMS) and BHI within
Rutgers Biomedical & Health Sciences
(RBHS). We seek a faculty member who is experienced in using advanced statistical and machine learning techniques to analyze datasets related to aging, Alzheimer’s disease, or related dementias.The successful candidate will work as part of a multi-disciplinary team including neurologists, neuropsychologists, and neuropathologists. The Alzheimer’s Research Center will develop a research cohort of individuals at high risk for dementia. This cohort will be extensively phenotyped for clinical, cognitive, genetic, neuroimaging, behavioral, digital, and blood biomarker measures. Responsibilities will also include mentorship of young investigators.Applicants must have experience with large-scale longitudinal studies and an interest in studying the earliest stages of Alzheimer’s disease. The faculty member will play a critical role in advancing our institution’s research and expertise in the field of Alzheimer’s disease, dementia, and related neurodegenerative disorders, and will be responsible for conducting data-driven research, analyzing complex datasets, and contributing to our institution’s mission of understanding, preventing, and treating these disorders.Qualifications
Minimum Education and Experience:Ph.D., MD, MD/PhD, or equivalent terminal degree in Data Science, Bioinformatics, Neuroscience, or a related field.A research program with currently active federal funding. Preference will be given to NIH-funded investigators at the Associate Professor level or above; however, superb young investigators with NIH funding and a high potential for scientific independence and success will also be considered.Strong expertise in data analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker).Essential Duties and Responsibilities:Serve as a key leader in developing all data-related aspects of a well phenotyped dementia risk cohort.Provide leadership in ensuring robust data analysis protocols.Lead a program of federally funded, data-driven research in Alzheimer’s disease and related dementias.Lead and collaborate on manuscripts using cohort data.Oversee the collection, curation, and management of clinical, genetic, imaging, digital, and biomarker data.Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease.Implement machine learning models to improve prediction, diagnostic accuracy, and monitoring of disease progression.Lead and contribute to grant proposals that support future funding of cohort data collection.Participate in mentoring, training, and professional development of staff, post-doctoral fellows, junior physicians, students, and others collaborating on the cohort study.Job Requirements:Experience in utilizing advanced statistical and machine learning techniques.Ability to develop and lead a program of independent federally funded research.Good understanding of informatics infrastructures to support innovative research.Experience in cross-platform and user-friendly applications development.Knowledge in learning healthcare systems and expertise in clinical data extraction.Academic credentials that qualify for appointment as an Associate Professor or Professor at Rutgers University.Record of successful multi-disciplinary collaboration and mentorship.Strong interest and enthusiasm in helping achieve successful implementation of the new cohort.Excellent written and oral communication skills.Work Environment:
No significant exposures or noise levels. Office/Laboratory/Clinical environment.Special Instructions to Applicants
To become a part of our vibrant research community, applicants should submit a CV and brief statement of research accomplishments and plans to Dr. Michal Beeri at
bhi@bhi.rutgers.edu .Applicants representing diverse backgrounds of all sorts are encouraged to apply. Rutgers University is committed to diversity, equity, and inclusion.
#J-18808-Ljbffr