Bioinformatics – Assistant to Associate Professor, Non-Tenure Research Track

Bioinformatics – Assistant to Associate Professor, Non‑Tenure Research Track Position Information Recruitment/Posting Title

Bioinformatics – Assistant to Associate Professor, Non‑Tenure Research Track

Cancer Institute of New Jersey

A minimum salary of $114,622

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.

• 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

Rutgers Cancer Institute and Robert Wood Johnson Medical School seek applications for a non‑tenure research track faculty in the field of bioinformatics at the Assistant or Associate Professor-level. The successful candidate will be a critical part of multidisciplinary team science for the innovative basic science, translational, clinical and population research at Rutgers Cancer Institute. They will provide state‑of‑the‑art bioinformatics support to all Rutgers Cancer Institute research programs.

The academic appointment will be in the Rutgers Robert Wood Johnson Medical School, Department of Pathology and Laboratory Medicine, Division of Medical Informatics, which is the primary academic unit for faculty associated with the Biomedical Informatics Shared Resource.

Academic rank will be commensurate with experience. As non‑tenure research track faculty you will be expected to provide the majority of your effort (approximately 70% FTE) to supporting cancer projects led by established University Faculty and Cancer Institute members. As a service provider you are expected to bill your collaborators hourly using the billing software iLab. The incumbent will be offered approximately 30% of personal research time for their own cancer bioinformatics‑related research efforts.

While formal teaching isn’t expected from this position, the incumbent will participate in educational workshops offering training on bioinformatics analysis to postdoctoral fellows and students per the Cancer Institute’s Cancer Research Training and Education practices.

A PhD in bioinformatics or relevant field with a publication record showing a broad range of computational and analytical efforts is required.

Experience and peer‑reviewed publications in which the incumbent has performed the tasks listed below are strongly preferred:

• Spatial transcriptomics: Analysis and integration of spatially resolved gene expression data to characterize tissue architecture, cell-cell interactions, and microenvironmental heterogeneity.
• Long‑read sequencing: Computational processing and analysis of long‑read sequencing data to resolve complex genomic and transcriptomic features, including isoforms, structural variants.
• Bulk RNA sequencing: End‑to‑end analysis of bulk RNA‑seq data, including quality control, normalization, differential expression, and pathway‑level interpretation.
• Single‑cell RNA sequencing: Analysis of single‑cell RNA‑seq datasets to identify cell populations, transcriptional states, and lineage relationships, often including integration across samples or modalities.
• sgRNA CRISPR analysis: Computational analysis of CRISPR‑based screening data to assess sgRNA performance, target gene effects, and downstream functional consequences.
• Data mining of publicly available datasets: Systematic curation and analysis of existing datasets (e.g., TCGA, TARGET, Dep Map, ICGC, or other consortia) to generate new hypotheses, validate findings, or support…