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Location/Division Specific Information
South San Francisco
The Clinical Next-Generation Sequencing business, part of our Life Sciences Solutions group. Personalized precision medicine has become a new paradigm in oncology treatment, offering hope for improved cancer treatments. Advances in next-generation sequencing (NGS) allow clinicians and laboratory professionals to routinely gather therapy-relevant molecular information in a timely fashion, a prerequisite for true personalized medicine in the face of a growing list of molecularly targeted drugs.
The Clinical Next-Generation Sequencing Division (CSD) offers multiple solutions for solid tumor biomarker testing to aid in identifying those patients eligible for treatment, based on Ion Torrent and Oncomine NGS technology.
How will you make an impact?
We're seeking a highly skilled individual with experience building models, algorithms, and software for analysis of next-generation DNA sequencing and managing a team. The successful candidate will lead a multi-disciplinary team performing analysis and developing applications for Ion Torrent DNA sequencing instruments. As part of this team, they will be expected to work in a fast paced, complex setting to hard deliverables in a collaborative environment. Critical thinking, determination to succeed, the willingness and courage to push the boundaries on the possible and the drive to deliver are key attributes.
The candidate will lead a team to prototype, adopt, improve, develop, optimize and validate algorithms and analysis software to analyze DNA sequencing data for oncology applications; for example, to detect low frequency variant detection in blood, to detect gene fusions, to detect deleterious deletions, etc. The candidate will participate in the design and analysis of experiments and samples needed, will report and document methods and results, will integrate these methods into production software, and will collaborate with key internal and external groups.
What will you do?
- The Associate Director and his/her team will contribute to solutions driving easy, automated analysis of human genetic variation obtained by high-throughput sequencing; will develop algorithms and applications deployed in production software for inferring biological knowledge from millions of short reads, and will optimize and validate application software.
- The candidate will work on applications of next generation sequencing, including some or all of the following: detection of ultra-low frequency variants, detection of gene fusions, detection of deletions and other structural variants, quantitation of differential gene expression.
- Contribute to inventing, speeding up, developing, evaluating, recommending, adapting, improving, optimizing, validating, integrating, documenting and supporting these analysis solutions.
- Responsible for developing production-level software for these applications.
- Will lead the team, mentoring team members, hiring, and training, assigning projects, prioritizing, and managing the team members.
How will you get here?
- PhD in computer science, computational biology, biostatistics, bioinformatics, or similar (MS considered for the candidate with the right experience).
- 5 or more years’ experience building model in complex arenas, with at least 3 years of relevant experience. Demonstration of rapid prototyping experience, leading to development of production code that is robust, fast, and highly accurate.
- Experience building and leading a strong team in industry
- Experience delivering projects and launching products on time
- Ability to engage in clear written and oral communication.
- A background in DNA sequencing technologies, bioinformatics, genetics, biology.
- Strong programming experience in Java and/or C/C++ on a UNIX platform and/or Python, R, Matlab.
- Strong statistical background, previous industry experience, familiarity with common bioinformatics tools, experience with high performance computing, understanding of assay design, experience working in cancer biology or human genetics or metagenomics, experience with clinical testing, are all highly advantageous.
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