Bioinformatics Scientist II

🔥 13 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $122k - $170k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

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Veracyte, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

🏥 Healthcare

🧬 Biotechnology

⚕️ Healthcare Insurance

Healthcare • Biotechnology • Healthcare Insurance

Veracyte, Inc. is a genomic diagnostics company focused on empowering clinicians with high-value molecular tests for diagnosing and treating cancer. The company provides a portfolio of genomic classifiers for various types of cancer, including thyroid, prostate, lung, breast, and bladder cancer, as well as interstitial lung disease. Veracyte's tests help clinicians and patients make informed decisions about cancer care by providing clear diagnostic and prognostic insights. The company's approach involves identifying unmet clinical needs and developing high-performance tests that are widely accessible globally through a CLIA and in vitro diagnostic-based model. Committed to elevating the standard of cancer care, Veracyte continues to expand its test portfolio and make significant contributions to the field of oncology diagnostics.

📋 Description

• Contribute to the design, development, evaluation, and optimization of NGS-based MRD assays • Perform bioinformatics analyses supporting assay development, analytical validation, and performance characterization studies • Analyze and interpret complex genomic datasets and communicate findings to project teams • Develop and maintain reproducible analysis workflows and scripts • Support evaluation of sensitivity, specificity, accuracy, reproducibility, and quality-control metrics • Participate in benchmarking studies comparing bioinformatics methods and analytical approaches • Collaborate with wet-lab scientists to design experiments, analyze results, and drive data-informed decisions • Investigate assay performance, troubleshoot challenges, and identify improvement opportunities • Contribute to novel computational approaches and analytical methods • Document analyses, methods, and study results clearly and reproducibly • Collaborate with assay development, molecular biology, software engineering, biostatistics, clinical, and quality teams • Participate in design reviews, technical discussions, and project planning • Translate biological and technical questions into computational analyses and actionable recommendations • Communicate results to computational and non-computational audiences • Follow quality systems and development processes for regulated diagnostic assay development • Contribute to study documentation, development reports, validation summaries, and technical records • Support materials for regulatory submissions, audits, and design-control activities

🎯 Requirements

• Ph.D. in Bioinformatics, Computational Biology, Genomics, Biomedical Engineering, Biostatistics, Computer Science, or a related quantitative field • Recent Ph.D. graduate and 2+ years of postdoctoral and/or industry experience or M.Sc and 5+ years of experience • Strong understanding of molecular biology, genetics, and next-generation sequencing technologies • Experience analyzing NGS data and developing computational workflows using Python and/or R • Ability to independently analyze complex datasets and draw scientifically sound conclusions • Strong critical thinking, quantitative reasoning, and problem-solving skills • Excellent written and verbal communication skills • Ability to work effectively in a highly collaborative, cross-functional environment • Demonstrated scientific curiosity, initiative, and attention to detail • Preferred: experience supporting development of NGS-based research or diagnostic assays • Preferred: familiarity with cancer genomics, somatic variant analysis, and liquid biopsy applications • Preferred: experience with cell-free DNA (cfDNA) or circulating tumor DNA (ctDNA) datasets • Preferred: knowledge of bioinformatics best practices, reproducible research methods, and software version control tools • Preferred: experience with cloud computing environments (AWS, Google Cloud, or Azure) • Preferred: exposure to regulated product development environments, including CAP/CLIA, FDA, or IVD development processes • Preferred: experience collaborating closely with laboratory and computational scientists

🏖️ Benefits

• Competitive compensation and benefits • Additional discretionary bonuses/incentives may be available • Restricted stock units may be available • Career opportunities and opportunities for growth • Inclusive workforce and workplace • 2024 Certified Great Place to Work recognition in the US and Israel

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