Research Scientist, Genomic Data Science Core

Position range in Grafton County $48k - $91k Per Year

Research Scientist, Genomic Data Science Core

Dartmouth College

Occupation: Life, Physical, and Social Science Occupations

Location: Hanover, NH - 03755

Positions available: 1

Job #: 168656

Source: FileImport - Dartmouth College

Posted: 6/25/2025

Expires: 1/18/2026

Web Site: apply.interfolio.com

Job Type: Regular, Full Time (30 Hours or More)

Job Requirements and Properties

Job Requirements and Properties

Work Onsite

Full Time

Schedule

Full Time

Job Type

Regular

Job Description Help for Job Description.

Job Description

Help for Job Description.

Dartmouth College: Geisel School of Medicine: Department of Biomedical Data Science

Location

Lebanon, New Hampshire

Open Date

Jun 04, 2025

Description

The Genomic Data Science Core (GDSC), part of the Center for Quantitative Biology at Dartmouth, is seeking a Research Scientist to analyze next generation squencing data and provide biological insight to the results. The GDSC is a fee-for-service bioinformatics core facility aimed at providing computational expertise to the Dartmouth faculty in advancing their research goals. The Research Scientist will work as part of the GDSC team to analyze high-dimensional genomic datasets. The ability to work effectively as part of a team is essential to be successful in this position.

The ideal candidate is expected to have knowledge and/or experience analyzing large datasets from multiple major genomic modalities such as RNA-seq, ATAC-seq, WES, WGS, ChIP-seq, and metagenomics. Experience with other types of genomic data (e.g. methylation/SNP arrays, TCR-seq, Nanostring) is a plus, and experience with single-cell or spatial transcriptomics is especially desirable. The candidate should have familiarity with computational tools used for these analyses and the ability to write scripts in BASH, R, and/or Python. Furthermore, the candidate should have a working knowledge of basic statistical concepts (regression analysis, linear modeling, probability). Experience with any of the following are also highly desirable: use of workflow management software (e.g. Snakemake, Nextflow) to construct and maintain data analysis pipelines, software management with package managers (e.g. Conda) or containers (e.g. Singularity or Docker), version control with Git/GitHub, familiarity with public genomics databases (GEO, SRA, NCBI, Ensembl), experience with genome browsers (e.g. IGV), high performance computing systems and/or cloud computing environments (GCP, AWS).

Researchers at Dartmouth encompass a broad range of biological disciplines, including cancer biology, immunology, neurology, microbiology, and environmental science. As such, the candidate must have a desire to work in a highly collaborative research environment and possess strong communication and organizational skills to manage and multitask diverse analysis projects. The Research Scientist will be responsible for tracking his/her time committed to each project for billing purposes. Due to the service-based nature of this role, being able to work to established deadlines is a crucial requirement. Presenting at conferences and seminars is encouraged, and opportunities for career development such as workshops and coursework will be supported.

Primary Responsibilities

Note: This position is dependent on the availability of sponsored funding.

Contribute to experimental design and development of appropriate data analysis plans.

Perform genomic data analysis for core users.

Establish and maintain an open line of communication with users working to deadlines and specifications outlined in the analysis plan.

Provide clear and detailed analysis summary reports to core users.

Develop and maintain genomic ...For full information see follow application link.

Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of underrepresented groups are encouraged.