Personalis is a rapidly growing cancer genomics company transforming the development of next-generation therapies by providing more comprehensive molecular data about each patient’s cancer and immune response. Our ImmunoID NeXT Platform® is enabling the development of next generation immuno-oncology therapeutics and diagnostics.

Summary:

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 enable precision treatment for cancer patients.

We are seeking a highly skilled bioinformatics engineer to bring new NGS variant calling capabilities forward from concept, through feasibility, and into production. 

Responsibilities:

  • Algorithm development to support new capabilities in our bioinformatics pipelines.
  • Evaluation and integration of in-house and 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.

Requirements:

  • At least 5 years’ experience working in a bioinformatics pipeline or algorithm development role.
  • Advanced statistical and algorithmic understanding of somatic NGS-based variant calling.
  • Experience developing bioinformatics pipelines, including expertise with standard Next-generation sequencing analysis tools such as BWA, GATK, samtools, etc.
  • Experience developing novel algorithms for NGS analysis.
  • Experience using high-performance compute clusters using SGE, Torque, Slurm or equivalent.
  • Fluency in multiple programming/scripting languages such as Python, Bash, R.
  • 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.

Education: 

  • Advanced degree in Bioinformatics, Biostatistics, Computer Science, or a related field. Ph.D. preferred.

 

Personalis is an Equal Opportunity Employer/Minorities/Females/Veterans/Disabilities.  Personalis offers a competitive compensation package.

 

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