Bioinformatics Scientist II

This is a fully remote position, open to applicants in California.

📋 Description

• Assist in the design, development, assessment, and enhancement of NGS-based MRD assays.

• Conduct bioinformatics analyses that support the development of assays, analytical validation, and performance characterization studies.

• Evaluate and interpret intricate genomic datasets and convey findings to project teams.

• Create and maintain reproducible analysis workflows and scripts.

• Aid in the assessment of sensitivity, specificity, accuracy, reproducibility, and quality-control metrics.

• Engage in benchmarking studies that compare bioinformatics methods and analytical strategies.

• Collaborate with wet-lab scientists to design experiments, analyze outcomes, and promote data-driven decisions.

• Examine assay performance, troubleshoot issues, and pinpoint opportunities for improvement.

• Contribute to innovative computational techniques and analytical methods.

• Clearly document analyses, methodologies, and study outcomes in a reproducible manner.

• Work in conjunction with assay development, molecular biology, software engineering, biostatistics, clinical, and quality assurance teams.

• Take part in design reviews, technical discussions, and project planning sessions.

• Convert biological and technical inquiries into computational analyses and actionable recommendations.

• Present results to both computational and non-computational audiences.

• Adhere to quality systems and development protocols for regulated diagnostic assay development.

• Assist in the preparation of study documentation, development reports, validation summaries, and technical records.

• Support the creation of 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 discipline.

• Recent Ph.D. graduate with 2+ years of postdoctoral and/or industry experience, or M.Sc. with 5+ years of relevant experience.

• Solid understanding of molecular biology, genetics, and next-generation sequencing technologies.

• Experience in analyzing NGS data and creating computational workflows using Python and/or R.

• Capability to independently analyze complex datasets and formulate scientifically sound conclusions.

• Strong critical thinking, quantitative reasoning, and problem-solving abilities.

• Exceptional written and verbal communication skills.

• Proven ability to work effectively in a highly collaborative, cross-functional setting.

• Demonstrated scientific curiosity, initiative, and meticulous attention to detail.

• Preferred: experience in the 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 platforms (AWS, Google Cloud, or Azure).

• Preferred: exposure to regulated product development environments, including CAP/CLIA, FDA, or IVD development processes.

• Preferred: experience working closely with laboratory and computational scientists.

🏝️ Benefits

• Competitive compensation and benefits package.

• Additional discretionary bonuses/incentives may be available.

• Restricted stock units may be offered.

• Opportunities for career advancement and growth.

• An inclusive workforce and workplace environment.

• Recognized as a 2024 Certified Great Place to Work in the US and Israel.