Job Title: Postdoctoral Scientist in Computational Biology, Bioinformat
PVN ID: HC-2212-005313
Category: Research
Location: HUNTER COLLEGE

Job Description

General Description

Computer Science at The City University of New York and Weill Cornell Medical College of Cornell University are seeking a joint Postdoctoral Research Scientist in the fields of computational biology, bioinformatics, and biophysics,. The candidate is expected to develop new computational methods for the multi-scale modeling of drug actions and genotype-phenotype associations as well as apply state-of-the-art computational tools to omics data analysis and integration, drug discovery and precision medicine. Depending on candidate’s interests and backgrounds, specific projects may include but not limited to: predicting genome-wide protein-ligand interactions, integrating and analyzing multiple omics data for drug target identification, identifying individualized drug response biomarkers, predictive modeling of perturbation genomics, drug repurposing, and any other open questions in systems pharmacology. The Postdoctoral Scientist has the opportunity on developing or enhancing skills in statistics, deep learning, and big data analytics. Our multiple NIH and NSF funded projects involve close collaborations between multiple academic institutes and pharmaceutical companies. We provide you with the ideal research environment to advance your career: freedom to pursue your interests, interaction across disciplines, and collaboration with pharmaceutical industries.

Other Duties

Candidates may need to supervise graduate and undergraduate students, collaborate with experimental and clinical laboratories, and write grant applications. 

Qualifications

Minimum requirements: Candidates must have a Ph.D. in bioinformatics, computational biology, statistics, mathematics, biophysics, computer science, and/or related fields. The candidate also must have a strong background and experience in one or more of the following areas: genomics, gene expression data analysis, systems biology, chemoinformatics, biophysics, machine learning, or multi-variable statistics; strong programming skills using Python or R, and familiarity with computing environments such as GPU clusters; effective communication skills; self-motivated and independent.

 

Preferred qualifications: Expertise and strong publication record in one or more areas related to single cell omics, multi-modal learning, self-supervised learning, semi-supervised learning, transfer learning, deep learning, causal learning, or natural language processing.    

About the Research Foundation

The Research Foundation of The City University of New York (RFCUNY) was established as a not-for-profit educational corporation chartered by the State of New York in 1963. RFCUNY supports CUNY faculty and staff in identifying and obtaining external support (pre-award) from government and private sponsors and is responsible for the administration of all such funded programs (post-award).

RFCUNY stands between CUNY’s principal investigators (PIs) and the sponsors who support them and strives to fulfill its essential responsibilities to both groups. Working closely with individual PIs and Grants Officers on the campuses, RFCUNY oversees employment, accounting, audit, reporting, purchasing, and special responsibilities that include management of a planned giving program; liaison with governmental agencies and foundations; negotiation of agreements; facility construction and renovation; protection and commercialization of intellectual property; and compliance with applicable standards in research involving human subjects, animal care, environmental and radiological safety, and conflicts of interest.

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
Computer Science
Status
Full Time
Annual Salary Range
$54,000.00 - $65,000.00
Closing Date
Mar 01, 2023 (Or Until Filled)
Bargaining Unit
No

Actions