Research Assistant (Laboratory/Technical Assistant Casual)

Ranked #46 in U.S. News & World Report's list of Best Public Colleges and Universities, Rutgers University-Camden is a diverse, research-intensive campus of approximately 6,100 students at the undergraduate, graduate, and doctoral levels and 1,100 faculty and staff members. Located in Camden, N.J., directly across the Delaware River from Philadelphia, the university is uniquely situated to serve the local community while achieving global reach. A U.S. Department of Education-designated Minority Serving Institution, the university thrives due to a supportive culture that helps students achieve their goals and fosters collaboration among employees. Rutgers-Camden is recognized as a national model for civically engaged urban universities and was selected by the Carnegie Foundation for the Advancement of Teaching for a Community Engagement classification. Washington Monthly magazine has ranked Rutgers University-Camden among its "Best Bang for the Buck" universities and best national research universities. Recently, Rutgers-Camden earned Carnegie classification as an R2 research university due to a high volume of internationally recognized research, creative output, and scholarly activity.

The Faculty of Arts and Sciences are the largest academic unit at Rutgers-Camden, delivering a wide array of degree programs at the baccalaureate, master's, and doctoral levels in the humanities, natural sciences, social sciences, and fine arts. The Faculty of Arts and Sciences includes three schools: the College of Arts and Sciences, University College, and the Graduate School.

Rutgers University-Camden is seeking a Research Assistant to support the work of Dr. Andrey Grigoriev at CCIB. The research will encompass computational studies of whole genomes and/or genome sequences. The support involves developing functional software in Python for analysis of large-scale sequencing datasets, using machine learning methods, for Unix/Windows/Mac platforms. Duties will also include writing reports with illustrations, analytical findings, narratives and conclusions, regarding study results.

Position duties will include: software development and analysis, from planning to implementation and usage (outcomes being functional software and analytical findings; duties performed using Python programming language); visualization and interpretation (outcomes being illustrations and conclusions regarding study results and analytical findings; duties performed using standard and self-developed visualization tools for genomics); report writing (outcomes being reports with illustrations, narratives and conclusions regarding study results; duties performed using Office software).

This is a six month position.

This is a grant funded position contingent upon the availability of funds to support it.

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.

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

Consistent with the current application of Rutgers Policy 60.3.22, this position may be eligible for a hybrid work arrangement. The flexible work arrangements outlined in Rutgers Policy 60.3.22 are part of a pilot program that is effective September 1, 2022 through August 31, 2024. Therefore, there is no guarantee that this flexible work arrangement will continue beyond that date. Flexible work arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https://futureofwork.rutgers.edu.

Requires a Bachelor's degree in a scientific/technical discipline, or an equivalent combination of education and/or relevant laboratory technician or research study experience carrying out research protocols and tests, or other technical work may be substituted for the degree.

Masters degree in a related field to computational biology, computer science or bioinformatics, with at least three years of practical experience. Working knowledge and demonstratable skills of programming in Python; of analyses of next-generation sequencing data and of statistical data analysis and machine learning methods. Good communications skills (written and oral) in these research areas.