Research Scientist

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 sequencing 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. Singualrity 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).

The core supports researchers at Dartmouth from 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 deadlines and specifications outlined in the analysis plan.
• Provide clear and detailed analysis summary reports to core users.
• Develop and maintain genomic data analysis pipelines and workflows.
• Use RADAR for analysis time and fee tracking.
• Work collaboratively and participate in team meetings as well as meetings with core users.
• Provide scientific training and mentoring to other core members or core users where required.
• Assist in the preperation of publications and grant proposals.
• Become familiar with all services offered and serve as a point of contact for users.
• Present at local, regional, and national meetings to expand the visibility of the core.
• Engage in professional development opportunities such as workshops and coureses to acquire new skills.

Anticipated salary will be between $70,000 and $85,000 depending on candidate qualifications and work history.

Qualifications

Minimum Qualifications

• Proficiency with BASH and R or Python.
• Proven organizational skills with exceptional attention to detail.
• Ability to work independently, taking initiative to advance projects.
• Demonstrated experience analyzing next generation sequencing data.
• Ability to use sound judgement and communicate effectively with users and facility staff.
• Ability to effectively collaborate and interact with all levels of staff and management.
• At least five years of relevant experience.

Preferred Qualifications

• Experience working in a core facility or other customer-facing or service-oriented role.
• Experience analyzing single cell and/or spatial genomic data.
• Experience optimizing computational workflows to increse efficiency and improve turnaround times.
• Basic understanding of molecular biology, immunilogy, microbiology or cancer biology.

Application Instructions

Please apply via Interfolio using this link.

Equal Employment Opportunity Statement

Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of sex, race, color, religion, age, disability, status as a veteran, national or ethnic origin, sexual orientation, gender identity, gender expression, or any other category protected by applicable law, in the administration of its educational policies, admission policies, scholarship and loan programs, employment, or other school administered programs. Applications by members of all underrepresented groups are encouraged. 

If you are an applicant with a disability and need accommodations to assist in the job application or interview process, please email ADA@dartmouth.edu. In the subject line, please state “Application Accommodations” and include the job number or title. Someone from the ADA Compliance Office will be in touch within 2 business days.   

For additional employment opportunities at Dartmouth College, please visit the Dartmouth Interfolio Job Board, the Office of the Provost, and the Office of Human Resources.

Offers of employment are contingent upon consent to a pre-employment background check with results acceptable under Dartmouth policy. Please visit the Office of Human Resources for details.

All Dartmouth College employees must comply with the College’s health and safety guidelines and protocols, including but not limited to those related to COVID-19, such as any testing, masking, or distancing requirements that may be in place at any given time or place.