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.
You will work with a world-class, dynamic team of bioinformatics scientists, software engineers, and laboratory scientists, developing, testing, and applying cutting-edge immuno-oncology genomics products. Further, you will be working alongside our collaboration teams, applying our immuno-oncology solutions to large cancer patient cohorts, profiling patient response to therapy with our exome-scale DNA, RNA and cell free platforms. Your work will directly contribute to a new generation of genomics-based precision-medicine products in immuno-oncology and cancer clinical trials, diagnostics, and therapeutics being used by pharma, biotech, hospitals, and clinicians.
Design and develop novel immuno-oncology algorithms upon our exome-wide DNA, RNA and cell-free platforms.
Design and execute validation experiments focused on demonstrating the performance of the applications on our platforms.
Develop methods for genomics-based characterization of neoantigens and immune evasion.
Identify state-of-the-art immunotherapy biomarkers and methods across large internal and public cohorts to demonstrate performance and clinical utility.
Work cross-functionally to translate findings into actively developed cutting-edge products.
Publish results and present at conferences in exciting areas, including cancer genomics and immuno-oncology.
Advanced degree (PhD) in bioinformatics, genomics, or a related field.
Experience with cancer genomics and immuno-oncology projects.
Proficiency with at least one common programming language (e.g., Python, R).
Experience developing and applying NGS-based algorithms.
Familiarity with machine learning and applied statistics.
Excellent written and verbal communication skills.
Nice to have:
Knowledge of neoantigens, immune checkpoint therapies, and tumor escape mechanisms.
Experience with standard genomics software: BWA, GATK, SAMTools, etc.
Experience with genomic analysis of NGS cell free DNA assays.
Experience with mass spectrometry and immunopeptidomics.
Experience with PCR-based validation approaches.
Experience with genomic pipeline optimization for large datasets.
Familiarity with cancer databases: Cosmic, TCGA, etc.
Experience with BASH scripting and Unix/Linux command line tools.
Familiarity with version control systems, preferably Git.
Familiarity with grid computing systems such as SGE.
Personalis is an Equal Opportunity Employer/Minorities/Females/Veterans/Disabilities. Personalis offers a competitive compensation package.