Bioinformatics Scientist

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. 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. This position will interact closely with colleagues in computational biology, molecular biology, commercial, and finance.

Key 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, communicating methods and results to diverse audiences.
• Contribute and author bioinformatics-focused white papers, posters, and publications.

Skills and Background

• PhD in bioinformatics, computational biology, or equivalent. Postdoctoral and/or industry experience is a major plus.
• 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.
• Experience with the human pangenome and pangenome-based analysis is a plus.
• 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).
• Exceptional technical depth in cancer genomics, cancer biology, oncology, or similar.
• Excellent written, presentation, and verbal communication skills.

Full-time role with comprehensive medical/dental/vision, life and disability insurance, matching 401k, and generous PTO. Compensation: $80,000-$130,000 depending on experience.