Required experience
- PhD or MS in bioinformatics, computational biology, or an adjacent data science field, such as biostatistics, statistics or computer science.
- Proven experience – A minimum of 6 -7 years of experience in bioinformatics analysis, algorithm development, and pipeline implementation.
- Thorough understanding of NGS technologies and various methods for library preparation (WGS, enrichment, RNA-Seq, methylation, etc.).
- Proficiency in quantitative transcriptomics from NGS or expression microarray data in human disease/biology specifically, such as differential expression, dimension reduction, expression-based classifier development, RNA-based signatures, cell type deconvolution.
- Proficiency in machine learning, development of novel bioinformatics methodologies, and algorithms development, including benchmarking of computational methods.
- Proven experience developing and deploying bioinformatics workflows in AWS (e.g., EC2, S3, Step Functions, Batch, Lambda, etc.).
- Strong proficiency in Python, including experience with testing frameworks and SDLC best practices.
- Close collaboration with Quality and Regulatory Affairs team on assay and analysis pipeline development and verification.
- Demonstrated record of technical and scientific leadership, ownership, and independent work.
RELEVANT EXPERIENCE (preferred but not required)
- Track record of working with wet lab scientists on iterative experiment design, execution, analysis, and interpretation as a tightly integrated team.
- Proficiency in genomics, sequence analysis, and secondary analysis, such as variant calling (e.g., SNVs/MNVs/indels, CNV, structural variants), NGS QC, splicing, circular nucleic acids.
- Strong understanding of germline and somatic mutation processes leading to complex variation and genome-wide biomarkers with potential clinical utility, such as TMB, mutational signatures, LOH.
- Working knowledge of R.
- Experience with relational and non-relational database technologies is a plus.
- Excellent communicator about complex technical topics in an interdisciplinary setting, especially by using data visualizations and diagrams.
- Excellent technical problem solving and troubleshooting skills.
Cultural fit
- Passion for Innovation: You are deeply curious and driven to explore uncharted territories in genomics. Your passion for discovery motivates you to use novel analytical approaches to bring new insights to assay optimization and evaluation.
- Collaborative Spirit: You thrive in a collaborative environment, bringing a positive, can-do attitude to interdisciplinary projects. You are skilled at communicating complex ideas to non-experts and active listening, fostering an inclusive atmosphere that values each team member's contribution. You are receptive to feedback and motivated to better serve the team’s needs.
- Adaptability: In our fast-paced industry, change is constant. You are agile and flexible, ready to pivot strategies in response to new data or technologies. Your resilience and open-mindedness help our team navigate the uncertainties inherent in groundbreaking research.
#LI-Hybrid, or #LI-Remote
For candidates based in our San Diego office, the salary range is $160,000 - $180,000.
For candidates based in our South San Francisco office, the salary range is $175,000 - $189,000.
For candidates working remote (US), the salary range is $150,000 - $168,000.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.