Research Scientist in Biomedical Data Science

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 data analysis pipelines and

workflows.

• Use RADAR for analysis time and fee tracking.
• Work in a 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 preparation 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 courses to acquire new skills.

• Performs other duties as required.

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 judgment 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.
• Requires a minimum of a BS degree with experience in genomics,

bioinformatics, data science, or a related field.

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 increase

efficiency and improve turnaround times.

• Basic understanding of molecular biology, immunology,

microbiology or cancer biology.

Application Instructions Equal Employment Opportunity
Statement

Dartmouth College is an equal opportunity employer under federal
law. We prohibit discrimination on the basis of race, color,
religion, sex, age, national origin, sexual orientation, gender
identity or expression, disability, veteran status, marital status,
or any other legally protected status. Applications are welcome
from all.

Dartmouth is committed to accessibility for its community. If you
are an applicant with a disability and would like to request a
reasonable accommodation to aid in the job application and/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/504 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 Dartmouth policy portal for faculty
handbooks and details of other Dartmouth policies .