Bioinformatic Scientist – Lab-Molecular Pathology – USA
Job Overview
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Date PostedSeptember 19, 2025
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Location
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Expiration dateOctober 19, 2025
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Job Description
Our Genome Informatics group at Dartmouth is expanding as we expand our clinical and research DHCancerseq platform – A whole exome and transcriptome platform across our health system for all our cancer patients as well as for rare disease !
Come work with us if you want to translate cutting edge genomics including epigenetics and long read while expanding application of our existing platforms!
Please note – this is an ON-SITE role only.
The Department of Molecular Pathology at Dartmouth Hitchcock Medical Center is seeking a Bioinformatics Scientist to join our team. This individual will be expected to evaluate tools and participate in validation of clinical pipelines in accordance with federal and state regulatory requirements. Familiarity with CLIA/CAP guidelines is preferred. The candidate will play a major role in translational research and pipeline development for our whole genome, transcriptome, and epigenome pathways.
Supporting a state-of-the-art platform for both internal and external end-users, this position will be highly collaborative. We are seeking candidates with excellent communication skills and the flexibility to work outside of standard hours, Monday through Friday, 8:00 am-5:00 pm, as needed. The successful candidate will have a dive-in and help attitude with an all-hands-on-deck approach to ensure success.
This is a full-time, 40-hour/week position.
Responsibilities
- A working knowledge of scalable Pythonic pipelines with utilization of workflow languages such as WDL, CWL, NextFlow and Toil
- This individual will be the ‘honest broker’ for security administration of our on-site HPC cluster.
- An understanding of cloud infrastructure such as AWS and GCP is preferred to allow monitoring of error logs in the Dartmouth Cloud.
- This position requires a deep understanding of the human genome reference databases such as Ensembl, NCBI databases, UCSC databases amongst others.
- A basic understanding of machine learning and NLP would be advantageous and opportunities will be provided to develop these skills
- An understanding of job scheduling in high-performance compute environments is necessary
- Collaborate on new and ongoing clinical research studies
- Participates in the teaching of residents, medical students, and other trainees. Participates in the supervision of genetic counseling students. assists with data entry and maintenance of the department database.
- Performs other duties as required or assigned.
Qualifications
- PhD in Bioinformatics preferred or MS with at least 5-7 years of experience
- Excellent communication skills required.