Job Title: Computational Science Assistant
PVN ID: RC-2110-004292
Category: Research
Location: CUNY-ADVANCED SCIENCE RESEARCH CENTER

Job Description

General Description

The CUNY ASRC Structural Biology Initiative seeks applications from individuals with experience in software development and computational biology, computer science, biology or chemistry to serve as computational scientists.  Several positions are available and the job description and level is dependent on the skills, experience and career goals of the candidates.

The position involves developing advanced desktop software for the analysis of structural biology data in the Java programming language.  Developing of these tools would involve, depending on the candidates skills, programming graphical user interfaces, developing tools using statistical and machine learning algorithms, implementing deep learning based algorithms, signal processing, and/or programming GPUs for rapid calculations.

Other Duties

Other duties may include:

  • Maintaining hardware and software
  • Writing documentation
  • Developing software test suites
  • Training users in use of the developed software

Qualifications

Successful candidates must have significant experience in software development with the Java programming language and should have an interest in computational science.  Experience  with new machine learning technologies such as deep neural networks, and GPU programming would be an advantage. Other desirable skills (depending on the exact position) include applied mathematics, and software engineering skills (including source code management, integrated testing and documentation).

Minimum Qualifications (depending on position)

  • A Master’s Degree (or Bachelors with significant computational experience) from an accredited institution in Chemistry/Biochemistry/Computational Biology/Computer Science.
  • Software development experience in Java
  • Experience using standard software engineering tools including source code control (such as Git), integrated development environments (such as NetBeans), project management tools (such as Maven) and test suites (such as Junit).

Preferred Qualifications

  • Coursework and/or experience in biochemistry.
  • Course work or experience in numerical methods.
  • Course work or experience in data mining and statistics

 

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
Structural Biology Initiative
Status
Full Time
Salary
Depends on Qualifications
Closing Date
Nov 23, 2021 (Or Until Filled)
Bargaining Unit
No

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