Personalis, Inc. is a leader in pioneering advanced NGS solutions for precision oncology. Our ImmunoID NeXT sequencing and analytics platform is enabling the next generation of immuno-oncology therapeutics and diagnostics. Located in Menlo Park, CA, we are seeking a talented and highly motivated bioinformatics engineer to join our team.

 

Job Description

You will join a team of bioinformaticians and software engineers whose mission is to develop robust, high-performance pipelines that can accurately and reliably analyze large volumes of next-generation sequencing (NGS) data. Our pipelines provide the foundation for a wide range of cutting-edge applications in the immune-oncology space, including analysis of diagnostic and emerging biomarkers that may enable more precise treatment of cancer patients. We are seeking a highly skilled bioinformatics pipeline developer to bring new analysis capabilities forward from concept, through feasibility, and into production. This role may include an opportunity to lead the pipeline development team.

 

Responsibilities

  • Novel algorithm development to support new capabilities in our bioinformatics pipelines.
  • Evaluation and integration of third-party tools.
  • Continued improvement and maintenance of existing pipeline modules.
  • Big-data analysis across hundreds or thousands of samples to evaluate accuracy and performance of our pipelines.
  • Work with stakeholders at Personalis to understand requirements and priorities.
  • Work with the Software QA team to design and execute test plans for new pipeline releases.

Education

  • Minimum MS in Bioinformatics, Computer Science, or a related field. Ph.D. preferred.
  • At least 5 years’ experience working in a bioinformatics pipeline or algorithm development role.

 

Qualifications

  • Experience developing bioinformatics secondary analysis pipelines, including expertise with standard tools such as BWA, GATK, samtools, etc.
  • Experience developing novel algorithms for NGC analysis.
  • Experience using high-performance compute clusters using SGE or equivalent.
  • Fluency in multiple programming/scripting languages such as python, BASH, C++, R; as well as SQL.
  • Familiarity with different assays and modes of sequencing (WGS vs. Exome, RNA-seq).
  • Domain knowledge in molecular biology and genomics, particularly in areas of cancer research.
  • Experience with software development best practices, including: unit testing, continuous integration, issue tracking, software life cycle, and code sharing.
  • Experience managing a small team of engineers a plus.

Personalis is an equal opportunity employer.  Personalis offers a competitive compensation package.

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