What are the responsibilities and job description for the Bioinformatics Associate position at Research Foundation at City College of New York?
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 Bioinformatics Associate (BA) will provide analytical expertise and The BA will provide bioinformatics support for cutting-edge research projects, primarily focusing on genomic data analysis, systems biology, and computational modeling in the context of medical and biological research. The BA will give you the opportunity to work alongside faculty, researchers, and clinicians to solve complex biological problems using state-of-the-art tools and techniques in bioinformatics.
The ideal candidate will have expertise in bioinformatics, data analysis, and computational biology, along with a passion for applying these skills to advance scientific discovery in health, disease mechanisms, and therapeutic development.
Other Duties
- Perform bioinformatics analysis of high-throughput genomic, transcriptomic, and proteomic data, including next-generation sequencing (NGS), microarray, and other omics data.
- Apply computational tools and algorithms to analyze large-scale datasets, such as gene expression, variant calling, and pathway analysis
- Develop, implement, and optimize bioinformatics pipelines and workflows for data processing, analysis, and visualization
- Integrate genomic data with clinical, epidemiological, and other research data to identify biomarkers, disease pathways, and therapeutic targets
- Collaborate with researchers across multiple disciplines, including biologists, clinicians, statisticians, and engineers, to interpret results and inform study designs
- Communicate findings through written reports, presentations, and contributions to publications and grant proposals
- Continually review emerging bioinformatics concepts and tools for adoption, and contribute to the development of new research tools and methodologies
- Train and mentor graduate students and researchers in the principles and practice of bioinformatics, including bioinformatics methodologies and software tools
- Stay current with developments and trends in the field of bioinformatics and integrate new concepts and techniques into research projects
- Other duties as assigned
Qualifications
Preferred Qualifications :
Core Competencies :
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.
