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.



  • 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.


  • 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.



  • 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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