Bioinformatics Scientist

EdenRoc Sciences•Scotts Valley, CA

2d•Onsite

About The Position

Dovetail Genomics is an EdenRoc Sciences startup company based in Santa Cruz, CA developing cutting-edge genomics technologies for vastly improving genome assembly, uncovering critical structural variation information, as well as many applications for studying epigenetics. We are a diverse, talented, multi-disciplinary team innovating in the field of genomics, with the goal of leaving a lasting impact on the world by providing researchers and clinicians with tools for better informing biological understanding. This role is located in Scotts Valley offices as we find one-on-one in person collaboration very valuable. We are looking for an outstanding Bioinformatics Scientist to drive development of new clinical applications of the proximity ligation technology created by Dovetail Genomics. The ideal candidate will have a proven track record of developing advanced NGS-based analytical methods, ideally with a focus on cancer genomics. Prior experience with proximity ligation (Hi-C) is not required, but it is expected that it will be picked up quickly. He/she should be driven by developing impactful products and enjoy working in a multi-disciplinary environment. This position will interact closely with colleagues in computational biology, molecular biology, commercial, and finance. The role of Bioinformatics Scientist requires a high level of scientific accomplishment, innovative thinking, and entrepreneurial spirit. Individuals applying for this position must be creative, self-starters, strategic thinkers, action-oriented, flexible in changing direction and methods, thrive in a fast-paced environment, excel at managing multiple priorities, succeed in communicating with all levels within the organization and provide immediate contribution with a minimum of hands-on supervision.

Requirements

PhD in bioinformatics, computational biology, or equivalent.
Experience developing and implementing novel bioinformatics algorithms and pipelines.
Extensive experience processing, integrating, and visualizing large, multi-omics datasets (WGS, RNA-Seq, etc.).
Proficiency with agentic AI for robust code development and scientific workflows.
Expertise in Python programming and demonstrated ability to learn and adopt bioinformatics techniques and resources.
Experience developing within a Linux-based cloud-computing environment (AWS preferred).
Ability to quickly become an expert in new fields.
Exceptional technical depth in cancer genomics, cancer biology, oncology, or similar.
Excellent written, presentation, and verbal communication skills.

Nice To Haves

Postdoctoral and/or industry experience is a major plus.
Experience with the human pangenome and pangenome-based analysis is a plus.

Responsibilities

Investigate and drive the development of novel analytical methods that leverage large Hi-C datasets to enable new products and services.
Collaborate closely with multi-disciplinary R&D teams on assay development & benchmarking.
Support production & commercial development teams with data analysis and interpretation.
Regularly present your work both internally and externally, effectively communicating your methods and results to audiences with diverse scientific and non-scientific backgrounds.
Contribute and author bioinformatics-focused white papers, posters, and publications.