Position Details

Position Information

Recruitment/Posting Title Research Associate I Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RWJ-Medicine-Cardiology 5-Meb 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 six centers and institutes that focus on cancer treatment and research, neuroscience, clinical and translational research, 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 including New Brunswick, Piscataway, Newark, Scotch Plains, Somerset, Blackwood, and other locations. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, University Hospital in Newark, and other affiliates.

Through this community of healers, scientists, and scholars, Rutgers is equipped as never before to transform lives.

Posting Summary

Rutgers, The State University of New Jersey, is seeking a Research Associate I for the department of Medicine, Division of Cardiology at the Robert Wood Johnson Medical School at Rutgers University.

Under the direction of a faculty member, the Research Associate I is responsible for conducting independent research within the field of AI and machine learning applied to medical imaging in cardiology and cardiovascular research. The role involves developing, implementing, and optimizing machine learning models for analyzing cardiovascular imaging data to advance diagnostic and prognostic capabilities in clinical settings. This position offers an exciting opportunity to contribute to cutting-edge research at the intersection of artificial intelligence and cardiovascular medicine, with the potential to impact patient care through advanced imaging analysis and AI-driven innovations.

Among the key duties of this position are the following

Conducts advanced research in artificial intelligence and machine learning as applied to cardiovascular medical imaging, including echocardiography, MRI, and CT scans.
Develops and optimizes deep learning and computer vision models to assist in automated image analysis, disease detection, and predictive modeling.
Performs data preprocessing, including segmentation, annotation, and harmonization of multimodal cardiovascular imaging datasets.
Collaborates with clinicians, radiologists, and cardiologists to ensure clinical relevance and applicability of AI models.
Assists in the selection of appropriate methodologies, algorithms, and frameworks for machine learning applications in cardiovascular imaging.
Designs and implements research protocols, ensuring compliance with ethical and regulatory standards.

Position Status Full Time Hours Per Week Daily Work Shift Work Arrangement

This position requires a fully on-site work arrangement.

FLSA Exempt Grade 26S Position Salary Annual Minimum Salary 73161.00 Annual Mid Range Salary 87905.00 Annual Maximum Salary 104450.00 Standard Hours 37.50 Union Description HPAE 5094 Payroll Designation PeopleSoft Benefits

Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview.

Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP

Qualifications

Minimum Education and Experience

Ph.D. or equivalent in Computer Science, Engineering, Data Science, or a related field with a focus on AI and machine learning applications in medical imaging.
Minimum of two (2) years of research experience in artificial intelligence, machine learning, or deep learning, specifically in medical imaging or cardiovascular research.
Experience in processing and analyzing large-scale medical imaging datasets.

Certifications/Licenses Required Knowledge, Skills, And Abilities

Strong background in programming languages such as Python, TensorFlow, PyTorch, and OpenCV.
Expertise in machine learning, deep learning, and computer vision techniques.
Strong analytical skills for image processing and data interpretation.
Ability to work independently and collaboratively within an interdisciplinary team.
Excellent written and verbal communication skills.
Familiarity with regulatory and ethical considerations in medical imaging research.

Preferred Qualifications

Prior experience with cardiovascular imaging techniques (echocardiography, MRI, CT).

Equipment Utilized Physical Demands and Work Environment

Physical Demands: Standing, sitting, walking, talking or hearing. No special vision requirements.
Work Environment: Research lab environment with access to high-performance computing resources. Collaboration with medical professionals, engineers, and data scientists. Hybrid work options may be available depending on project requirements.

Special Conditions

Posting Details

Posting Number 25ST0523 Posting Open Date Special Instructions to Applicants Regional Campus Rutgers Biomedical and Health Sciences (RBHS) Home Location Campus Downtown New Brunswick City New Brunswick State NJ Location Details

Pre-employment Screenings

All offers of employment are contingent upon successful completion of all pre-employment screenings.

Immunization Requirements

Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.

Affirmative Action/Equal Employment Opportunity Statement

It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement

Supplemental Questions

Required fields are indicated with an asterisk (*).

* Do you have a Ph.D. or equivalent in Computer Science, Engineering, Data Science, or a related field with a focus on AI and machine learning applications in medical imaging?
Yes
- No
- Do you have a minimum of two (2) years of research experience in artificial intelligence, machine learning, or deep learning, specifically in medical imaging or cardiovascular research?
Yes
- No

Applicant Documents

Required Documents

Resume/CV

Optional Documents

Cover Letter/Letter of Application

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