Senior Scientist - NGS Bioinformatics (Algorithm Development)
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Senior Scientist - NGS Bioinformatics (Algorithm Development)
Job Summary
Qualifications
Basic Qualifications:
Preferred Qualifications:
Live
Job Summary
The Bioinformatician NGS (Algorithm Development) will support Large Molecule Discovery by designing, implementing, and optimizing computational methods for analysis of complex next-generation sequencing datasets. This role will focus on developing novel algorithms and analytical approaches for tasks such as short-read and long-read variant calling, clustering, sequence classification, and antibody design support.
Working closely with bioinformatics principal scientists, software engineers, data scientists, and laboratory scientists, this individual will help evaluate and refine bioinformatic algorithms that turn sequencing data into actionable biological insight. The role combines scientific problem-solving, statistical analysis, and software development, and is well suited for someone who enjoys advancing new computational approaches in a research setting.
In this role, your core responsibilities include:
- Develop and optimize computational methods for NGS analysis, including short- and long-read variant calling, clustering/de-duplication, immune repertoire analysis, assembly, and sequence classification.
- Design and benchmark algorithms to improve the accuracy, scalability, and interpretability of sequencing workflows and biological analyses.
- Build reproducible analytical code and support method validation and benchmarking.
- Collaborate with principal bioinformatics scientists and experimental stakeholders to define analytical strategies grounded in assay design and biological context.
- Partner with software engineers, data scientists, and laboratory scientists to translate research needs into computational solutions and assess emerging sequencing technologies.
Qualifications
Basic Qualifications:
- Doctorate degree/PhD with 6+ years relevant experience
- Or Masters degree and 8+ years of directly related experience
- Or Bachelors degree with 10+ years of directly related experience
Preferred Qualifications:
- PhD with 6+ years of experience developing computational methods for NGS or other high-throughput biological data, with exposure to variant calling, immune repertoire analysis, or related analytical approaches.
- Strong understanding of short-read and long-read sequencing technologies and implications for data analysis.
- Experience benchmarking algorithms and evaluating performance using statistical, technical, and biological metrics.
- Familiarity with antibody discovery, protein engineering, or other biologically complex large molecule discovery workflows.
- Experience translating wet-lab or assay requirements into bioinformatic solutions.
- Familiarity with reproducible scientific computing practices, including version control, testing, and cloud- or container-based workflows.
- Experience communicating complex analytical results to scientific and technical audiences.