Bioinformatician 2 – Computational Spatial Biology

DESIRED QUALIFICATIONS:

•MS or PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, Biomedical Data Science, or a related quantitative field, with 1 to 2 years of relevant research experience.

•Experience analyzing and interpreting genomic, spatial omics, and proteomic datasets, including data generated from platforms such as Xenium, Visium, CosMx, CODEX, and single-cell RNA-seq, with demonstrated proficiency in single-cell RNA-seq analysis workflows.

•Prior experience analyzing the tumor microenvironment is highly desirable, along with familiarity with resources and databases related to cancer hallmarks, ligand–receptor interactions, and drug response.

•Strong interest in cancer biology and in deriving biologically meaningful insights from computational analyses; experience contributing to peer-reviewed publications is desirable.

•Proficiency in Python and R, including experience with commonly used analysis frameworks such as Seurat, scverse, and Bioconductor.

•Strong foundation in statistics, data analysis, and computational methods; familiarity with machine learning and algorithm development is desirable.

•Experience working in Unix/Linux computing environments, including use of high-performance computing clusters and, ideally, GPU-enabled workflows.

•Experience with GitHub, version control, and repository management for collaborative and reproducible research.

•Ability to work independently under general guidance, manage multiple priorities, and contribute effectively in a collaborative multidisciplinary research environment.

•Excellent oral and written communication skills, with a strong interest in connecting computational analysis to meaningful biological and translational questions.

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
•    Substantial experience with MS Office and analytical programs.
•    Excellent writing and analytical skills.
•    Ability to prioritize workload.

CERTIFICATIONS & LICENSES:

None

PHYSICAL REQUIREMENTS*:

•    Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
•    Occasionally use a telephone.
•    Rarely writing by hand.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

Some work may be performed in a laboratory or field setting.