Principal Bioinformatician
About The Position
Our Diagnostics division is seeking a Principal Bioinformatician to lead our team of Bioinformaticians within R&D. In this key managerial role, you will oversee the development and implementation of computational strategies for biological data analysis, supporting our diagnostic assay designs and next-generation sequencing (NGS) pipelines. The ideal candidate will bring strong leadership experience and a track record of building and guiding technical teams, ensuring our R&D group remains at the forefront of advancements in molecular diagnostics. This is a fully onsite role based in San Diego, CA.
Requirements
- A relevant advanced degree (Master's or Ph.D.) in a life science, computer science, or a related field
- 8 - 12 years of industry experience, specifically within the Molecular Diagnostics field
- Strong leadership and management experience of 3 - 5 years
- Strong proficiency with relevant software, programming languages (e.g., Python, R, Java), and data analysis pipelines.
- Proficiency and understanding of regulatory requirements for IVD submissions
- Strong expertise in bioinformatics, computational biology, and statistical analysis, and experience with large-scale biological data.
- Experience with high-performance computing (HPC) environments.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Experience with data visualization and management tools.
Responsibilities
- Leadership and management: Lead, manage, and mentor a team of bioinformaticians. Provide subject matter expertise and oversee project management, budget, and strategic planning for the department.
- Data analysis and strategy: Optimize, develop and implement computational methods and strategies for analyzing complex biological datasets for assay designs, mutational analysis or NGS pipelines. Ensure data quality and accuracy in results.
- Scientific collaboration: Strong expertise in diagnostic assay design is desired. Collaborate with researchers and other scientists to design experiments, interpret data, and support research initiatives.
- Technical development: Oversee the development and implementation of algorithms, software tools, and databases for data analysis.
- Operational oversight: Manage daily operations, monitor performance metrics, and address bottlenecks.
- Communication and reporting: Prepare and present reports, scientific publications, and findings to varied audiences, including stakeholders and management.
- Staying current: Stay up-to-date with advancements in computational biology, machine learning, and other relevant technologies to drive innovation.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Industry
Computer and Electronic Product Manufacturing
Number of Employees
5,001-10,000 employees
