Discover Impactful Work
As part of the Bioinformatics R&D team within the Clinical Next Generation Sequencing Division you will support primer design and the development of targeted sequencing panels, as well as building pipelines and algorithms for next-generation sequencing (NGS).
As a leader in life science technologies, our team empowers scientists to harness genomics to drive scientific discovery and advance clinical research in personalized medicine.
Location
This is a fully onsite role based in Carlsbad, CA or South San Francisco, CA.
A Day in the Life
- Design assays for custom targeted sequencing panels for external and internal researchers
- Understand key scientific questions and translate them into effective assay design strategies
- Partner with external customers to understand project requirements and deliver high-quality design solutions that meet their needs
- Collaborate cross-functionally with molecular biologists, product management, and other bioinformatics and software team members to support new product development, launch, troubleshooting, and optimization
- Develop, maintain, and operate bioinformatics pipelines for assay design, data mining and analysis
- Improve assay designs through iterative analysis of sequencing data and development of heuristics, optimization methods, and algorithms
- Evaluate, implement, and scale new technologies and methods to optimize and automate pipelines for primer design
Keys to Success
Education
- PhD in bioinformatics, statistics, genomics, computational biology, computer science or related field; or
- MS with 3+ years of relevant industry experience
Experience
- Proficiency in Python and shell scripting
- Hands-on experience with bioinformatics production systems
- Experience with targeted NGS sequencing, Ampliseq technology or PCR primer design is highly preferred
- Experience with sequence analysis tools (BLAST, MAFFT/Clustal, Bowtie/BWA, samtools/bedtools) and strong understanding of genomic databases and annotations (GenBank/RefSeq, ENSEMBL, UCSC)
- Working knowledge of statistical modeling, optimization, or machine learning applied to genomic or assay-design data
- Experience applying modeling or machine learning approaches to support assay performance prediction, off-target assessment, QC flagging, or design-rule optimization is preferred
Knowledge, Skills, Abilities
- Excellent communication and organizational skills
- Self-motivated, collaborative, and detail-oriented
- Strong problem-solving and troubleshooting skills
- Commitment to delivering high-quality results with integrity and professionalism
Other
- Must be legally authorized to work in the United States without sponsorship now or in the future
- Must be able to pass a comprehensive background check and drug screen
