Recruitment/Posting Title Postdoctoral Fellow
Job Category Department SHP-Health Informatics Overview
New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research.
Our faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy, public health, nursing, biomedical research, and the full spectrum of allied health careers.
Our clinical and academic facilities are located throughout the state—at Rutgers University–New Brunswick, including Piscataway; and at locations in Newark, Scotch Plains, Somerset, Stratford, and other locations. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, Newark’s University Hospital in Newark, and other affiliates.
Through this community of healers, scientists, and scholars, Rutgers is equipped as never before to transform lives.
Rutgers RBHS is an anchor institution that boasts locations in Newark, New Jersey, a city of promise.
Rutgers, The State University of New Jersey is seeking a Postdoctoral Fellow for the Biomedical and Health Informatics Department within the School of Health Professions. Under direction, the Postdoctoral Fellow will solve cutting-edge problems in predictive modeling of treatment response in cancer patients. Special emphasis will be given to treatment response in prostate cancer and acute myeloid leukemia, among other cancer types. At the completion of this appointment, individuals will be highly trained in a broad spectrum of scalable statistical and machine learning approaches, integrative transcriptomic, genomic, and epigenomic analyses, oral and written communication skills, and manuscript and grant writing.
Among the key duties of this position are the following:
In Dr. Mitrofanova’s lab, candidates will be expected to utilize and develop scalable statistical and machine learning approaches, integrative transcriptomic, genomic, and epigenomic analyses, and participate in manuscript and grant writing.
Clinical and Molecular Data download and processing, using Unix/Linux computing cluster (including retrospective and prospective data from dbGaP and other sources).
Assessment of Data quality and suitability.
Application of integrative statistical and machine learning approaches to Data analysis.
Communication with clinical and experimental collaborators.
Prepare and submit manuscripts to peer-reviewed journals, preparing presentations and posters for research meetings.
Position Status Full Time Hours Per Week Daily Work Shift Work Arrangement FLSA Exempt Grade 99S Position Salary Annual Minimum Salary Annual Mid Range Salary Annual Maximum Salary Standard Hours 37.50 Union Description Non-Union Payroll Designation PeopleSoft Benefits
Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to https:// uhr.rutgers.edu/benefits/benefits-overview. Rutgers also offers a benefit program to eligible full-time postdoctoral fellow students. For details, please go to https: // finance.rutgers.edu/healthcare-risk/insurance/postdoctoral-health- insurance.
Seniority Unit Terms of Appointment Staff – 12 month Position Pension Eligibility None
Minimum Education and Experience
PhD in Computational Biology, Biomedical Informatics, Computer Science, Data Science, Mathematics, Statistics, Biostatistics, Statistical Genetics, Genetic Epidemiology, or related field.
Certifications/Licenses Required Knowledge, Skills, and Abilities
Familiarity with Next Generation Sequencing Data.
Strong analytical and problem-solving skills.
Strong record of productivity and motivation.
Ability to work collaboratively and independently.
Excellent oral and written communication skills.
High work ethics and US work authorization.
Knowledge of R programming language (or strong knowledge of another programming language), experience with Unix/Linux operating systems, Next Generation Sequencing data download and processing (including single-cell data).
Experience with machine learning algorithms and their implementation.
Equipment Utilized Physical Demands and Work Environment Special Conditions
Posting Number 23ST1407
Posting Open Date Special Instructions to Applicants Regional Campus Rutgers Biomedical and Health Sciences (RBHS) Home Location Campus Piscataway (RBHS) City Piscataway State NJ Location Details