Sr. Bioinformatics Scientist
$160k - $180kVeracyte
At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.
Our Values:
- We Seek A Better Way : We pursue bold ideas, embrace complexity, and keep pushing forward.
- We Make It Happen : We act with urgency, deliver with excellence, and always find a way.
- We Are Stronger Together : We engage with empathy, align around what's best for Veracyte, and celebrate as one team.
- We Care Deeply : We show up with integrity, kindness, and respect for one another.
- KEY RESPONSIBILITIES:
- Lead bioinformatics design, development and validation efforts in assay development for new and on-market products. As part of project core teams, this individual must be responsible for coordinating planning, execution, and delivery within timelines and budget constraints.
- Develop scalable, production-grade workflows for high-throughput NGS data analysis using AWS and containerized environments.
- Facilitate successful production pipeline deployment by working closely with infrastructure and engineering teams
- Ensure compliance with regulatory standards (CAP/CLIA, FDA, IVDR) throughout the bioinformatics development lifecycle, including rigorous testing and documentation.Apply leading edge knowledge in bioinformatics, genomics, and assay technologies, to contribute to development of company's concepts and principles and to achieve assay development objectives in creative and effective ways.
- Apply leading edge knowledge in bioinformatics, genomics, and assay technologies to contribute to development of the company's concepts and principles and to achieve assay development objectives in creative and effective ways.
- Drive development study design and all analysis for assay development effort in collaboration with cross-functional teams.
- Develop statistical and machine learning techniques to comprehensively evaluate assay performance and create optimization strategies.
- Communicate analysis results, methodologies, and scientific findings to internal teams, external collaborators, and stakeholders.
- Contribute to regulatory submissions and audits by providing technical documentation and validation reports.
- Provide scientific guidance and mentorship to junior bioinformatics team members.
- 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.
- 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.
- 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.
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