Job Title: Associate Data Scientist - Computational Biology & Drug Disc
PVN ID: HC-1712-002270
Category: Research
Location: HUNTER COLLEGE

Job Description

General Description

Department of Computer Science at Hunter College and The Center for Translational and Basic Research (CTBR) in CUNY are seeking a highly motivated Data Scientist in Computational Biology. The candidate is expected to develop machine learning algorithms and associated software and databases for biomedical data mining, as well as apply them to drug discovery and precision medicine in a highly collaborative environment. The potential projects include but are not limited to construction of multi-layer network of drug-gene-pathway-disease associations by integrating multiple levels of omics data, development of deep neural network algorithms to predict genome-wide chemical-protein interactions, context-specific network based predictive modeling, and multi-view learning using high-dimensional and sparse data.

 

Other Duties

Other duties may include:

1. Set up computer hardware and software.

2. Maintain Linux operating system.

3. Manage Mysql and Oracle database server.

Qualifications

Minimum requirements: The incumbent must have a M.S. in bioinformatics, computational biology, biostatistics, computer science, and/or related fields; strong background in machine learning, statistics and working knowledge in biology; effective communication skills; be self-motivated and independent.

Preferred qualifications: Expertise in python, R, or Matlab programming; Experiences in distributed computing using Spark; Familiar with genomics, transcriptomics, or proteomics data analysis.     

Salary will depend on the experiences.

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
Computer Science
Status
Full Time
Pay Range
$25.00-$35.00
Closing Date
Feb 21, 2018 (Or Until Filled)
Bargaining Unit
No

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