Personalis, Inc. is a leader in advanced genomics for precision oncology. NeXT Personal is an ultra-sensitive, tumor-informed, WGS-based liquid biopsy assay designed to detect minimal residual disease (MRD) and cancer recurrence.

It leverages whole-genome sequencing of a patient's tumor and matched normal samples to create personalized panel of up to 1,800 somatic variants, enabling the detection of circulating tumor DNA (ctDNA) at very low levels (down to ~1-3 PPM) in blood samples. To enable cancer and population sequencing, Personalis' Clinical Laboratory was built with a focus on clinical accuracy, quality, big data, scale, and efficiency. Personalis is based in Fremont, California.

Days Onsite: Monday Tuesday Summary: The Bioinformatics Senior Scientist will work with a world-class, dynamic team of bioinformatics scientists, software engineers, and laboratory scientists, developing, testing, and applying cutting-edge cell-free and solid tumor cancer genomics products. Further, the Bioinformatics Scientist will be working alongside our clinical evidence generation teams, applying our cell-free solutions to large cancer patient cohorts and profiling patient response to therapy with our cfDNA platforms. This position will directly contribute to a new generation of genomics-based precision-medicine products for profiling MRD, ctDNA dynamics, and patient response to treatment.

Our products are used by pharma, biotech, hospitals, and clinicians for managing patient treatment and therapeutic selection.

Responsibilities

: Design, develop, and build upon our novel cell-free platforms and products, including our NeXT Personal MRD liquid biopsy platform, with a focus on maximizing signal from complex genomic architecture. Explore and train Large Language Models (LLMs) and foundation models on high- throughput genomic data to enhance variant detection and extract novel biological features.

Requirements

) in bioinformatics, computational biology, genomics, machine learning or a related field Extensive experience with cancer genomics including a deep understanding of tumor evolution, mutational signatures, and structural variation. Extensive experience with somatic mutational detection and filtering Experience with cancer liquid biopsy analysis Experience utilizing and training modern deep learning architectures, with a strong preference for candidates who have trained or fine-tuned Large Language Models (LLMs) to decode complex sequences. , Python, R) A track record of designing and implementing experimental approaches to confirm and elaborate upon findings from complex projects Experience publishing and presenting scientific results The hiring range for this position is $155,000 to $190,000 per year, which may factor in various geographic regions.

The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.

Compensation

package, in addition to a full range of medical, financial, and/or other

Benefits

, dependent on the level and position offered.

Sr. Bioinformatics Scientist - DNA Technology Development & Applied AI