Co-Adjutant Researcher - York Lab

Position Details

Position Information

Recruitment/Posting Title Co-Adjutant Researcher - York Lab Department Quantitative Biomedicine Inst Salary Details Salary minimum: $15.49/hour. Offer Information

The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Benefits

Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:

* Medical, prescription drug, and dental coverage

* Paid vacation, holidays, and various leave programs

* Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options

* Employee and dependent educational benefits (when applicable)

* Life insurance coverage

* Employee discount programs

Posting Summary

The Laboratory for Biomolecular Simulation Research ((Use the "Apply for this Job" box below).) and Institute for Quantitative Biomedicine () at Rutgers, the State University of New Jersey, is seeking 2 high-level software development scientists

in a joint project with Nvidia, world leader in artificial intelligence (AI) computing, and Tandem AI, an advanced technology company providing access to the most advanced tools in drug discovery. This is an exciting opportunity for a talented scientist to gain valuable experience developing software infrastructure for drug discovery. At Rutgers, the LBSR is directed by Professor Darrin York, and is dedicated to the development and application of innovative biomolecular simulation tools for enzyme design and drug discovery ().

The successful candidate will develop web pages and front-ends to showcase new drug discovery tools and databases used to train innovative machine learning models. This is an outstanding opportunity for an ambitious computer scientist/software engineer to be involved as a lead in a project of this scope and impact and is ideally suited for individuals with career aspirations to lead efforts in drug discovery or related new start-up company efforts.

Position Status Part Time Posting Number 25FA0471 Posting Open Date Posting Close Date

Qualifications

Minimum Education and Experience

Applicants must hold or be engaged in pursuit of a Masters or BS degree in computer science or electrical and computer engineering or a related area.

Certifications/Licenses Required Knowledge, Skills, and Abilities

This is a software development position that requires proficiency in object-oriented programming (Python, Java/JavaScript, PHP) and web (React, Node.js, Flask, HTML, CSS, Json) and database (MySQL, Mongo

DB, Oracle).

Experience with ML frameworks are encouraged (Tensorflow, PyTorch). Strong written and oral communication skills in English are required, as well as the ability to work independently and prepare scientific manuscripts and/or proposals.

Preferred Qualifications Equipment Utilized

Software development will involve computer resources at Rutgers and include access to in-house and national production cyberinfrastructure resources.

Physical Demands and Work Environment

Predominantly operates in an office environment using computer workstation and/or laptop computer, participates in both physical and virtual team meetings, and periodically attends workshops and/or conferences that entail domestic or international travel.

Remote work, with regularly scheduled in-person reporting to the PI, is possible through mutual agreement.

Overview

Applicant is expected to develop web, front-end and database infrastructure for research projects. Duties will involve software development, testing and documentation, and active engagement in a team environment.

Statement

Posting Details

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