Job Title: AI Research Associate PVN ID: MD-2412-006606 Category: Research Location: CUNY SCHOOL OF MEDICINE Job Description General Description The CUNY School of Medicine (CUNY MED) is the only medical school in the City University of New York (CUNY) system. Our innovative curriculum allows students to complete both their Bachelor of Science and Doctor of Medicine degrees in seven years. The CUNY School of Medicine also offers a Master of Science degree in Physician Assistant Studies. Our mission is to provide access to medical education for talented individuals from social, ethnic and racial backgrounds historically underrepresented in medicine, and to develop health professionals committed to practicing in under-served communities with a special emphasis on reducing health disparities. As the recipient of a Research Centers in Minority Institutions (RCMI) U54 Cooperative Award from the National Institutes of Health, Chummed has established the New York Center for Minority Health Equity and Social Justice (NYC-MHESJ), whose mission is to address and advance the science of health disparities affecting historically underserved communities in New York City. The NYC-MHESJ is aligned with the National Institute on Minority Health and Health Disparities (NIMHD) vision to advance the science of minority health and health disparities research by developing & strengthening the research infrastructure to conduct state-of-the-art research and foster the development of the next generation of scientists focused on diseases that disproportionately affect minority populations. Under the general supervision of the RCMI NYC-MHESJ Multiple Principal Investigators (MPIs), and reporting directly to the Research Capacity Core (RCC) director, the AI Associate (AIA) will provide creative expertise and support for a variety of research projects across clinical, biomedical, behavioral and natural sciences. The AIA will develop and adapt algorithms and models that can drive innovations in medical devices and diagnostics, healthcare access and utilization, and equitable translation of research discoveries to improve the health of all but especially underserved communities. The AI Research Associate will collaborate with faculty, researchers, and clinicians from diverse fields to apply cutting-edge AI techniques to large-scale medical datasets, including electronic health records (EHR), genomics, imaging, and clinical trials data. The AIA will play a key role in helping the team design and implement AI-driven research projects with the goal of advancing scientific discovery and improving patient outcomes. AI applications toward enhancing the education of physicians and other healthcare professionals also are anticipated. Other Duties + Develop and implement AI/ML algorithms for the analysis of large biomedical and clinical datasets, including EHRs, genomic data, medical imaging, and clinical trials data. + Apply state-of-the-art AI techniques, such as deep learning, natural language processing (NLP), and reinforcement learning to solve complex biological and clinical problems. + Develop algorithms and workflows for debiasing and balancing human subjects data used in research or clinical decision-making. + Collaborate with researchers, clinicians, and data scientists to translate clinical and biological questions into AI models and algorithms. + Assist with the preprocessing, feature engineering, and cleaning of large, complex datasets to rigorously prepare data for AI-driven analysis. + Communicate research findings and insights through technical reports, academic papers, and presentations to diverse audiences, including researchers, clinicians, and policymakers. + Contribute to the writing of grant proposals and research publications, including co-authoring papers in scientific journals and conferences. + Continually review advancements in AI/ML and biomedical or healthcare technologies, with a view to adapting and adopting relevant concepts and tools to enhance research capabilities. + Train and mentor graduate students and researchers in AI concepts and tool development, including workflows and data curation. Qualifications + Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Bioinformatics, Data Science, or a closely related field from an accredited institution and not fewer than two (2) years additional research experience in the field, or specialty, related to the scope and complexity of the project; and, a record of research, publications, and scholarship in a related field, OR + A Master’s Degree in Computer Science, Artificial Intelligence, Machine Learning, Bioinformatics, Data Science, or a closely related field from an accredited institution, and at least four (4) years of additional research experience pertinent to the scope and complexity of the project; OR + Equivalent intellectual strength and experience as evidenced in progressively responsible research experience, publications in the field, and/or other accomplishments (e.g. significant participation in important inventions, artistic endeavors, etc.); Preferred Qualifications: + Experience with cloud computing platforms (e.g., AWS, Google Cloud) + Experience in the application of AI to medical imaging, genomics, EHR, and similar clinical and preclinical data + Familiarity with healthcare data formats and standards, such as DICOM, HL7, FHIR, or other clinical data protocols + Publications in AI/ML or healthcare-related journals and conferences are highly desirable + Prior work in a multidisciplinary academic or medical research setting including experience in experimental design, grant writing, and manuscript preparation Core Competencies + Strong proficiency in programming languages such as Python, R, and Java, with experience in ML frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn; + Solid understanding of deep learning, natural language processing (NLP), computer vision, and other AI techniques used in healthcare applications; + Strong analytical and problem-solving skills, with demonstrated ability to work independently on complex tasks and collaborate in a team environment; + Proficient written and verbal communication, with the ability to explain complex AI concepts and results to both technical and non-technical stakeholders; RFCUNY Benefits RFCUNY Employee Benefits and Accruals About the Research Foundation The Research Foundation of The City University of New York (RFCUNY) is a nonprofit educational corporation founded in 1963 to provide post-award fiscal and administrative support for CUNY’s research and sponsored programs. RFCUNY’s services allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries, on projects and programs that serve our local and global communities, proposing concrete solutions to society’s most pressing challenges. RFCUNY serves as a fiscal agent and works closely with all the CUNY campus Grants Offices to perform the core functions of post-award financial management for CUNY research projects and sponsored programs. These functions include legal assessment and signing of agreements where RFCUNY is named as a fiscal agent; setting up award accounts; preparing sub-awards and assisting PIs in monitoring the work of the recipients of sub-awards; supporting project directors with hiring and managing research project and sponsored program staff; supporting the purchasing and paying for goods and services with grant and program funds; managing financial aspects of projects including accounts receivable, financial reporting, invoicing, budget monitoring, and cost compliance with uniform guidance; ensuring that sponsor financial requirements are met; monitoring compliance with applicable project and financial management rules and laws; supporting the management of independent and external audits and financial reviews; and providing data, information, management expertise, and other supports to CUNY’s research and sponsored programs. Equal Employment Opportunity Statement The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law. Key Features Department Office of Research Status Full Time Annual Salary Range $54,715.00 - $91,190.00 Closing Date Feb 05, 2025 (Or Until Filled) Bargaining Unit No Actions + Apply + Print + Email + Linkedin + Facebook (http://www.facebook.com/share.php?u=https://www.rfcuny.org/careers/postings?pvnID=MD-2412-006606&title=Careers at RFCUNY) + Google + + Twitter (http://twitter.com/home?status=Job Openings at RFCUNY+https://www.rfcuny.org/careers/postings?pvnID=MD-2412-006606)