Sr. Bioinformatics Scientist - DNA Technology Development & Applied AI

Personalis, Inc•Fremont, CA

4h•$155,000 - $190,000•Hybrid

About The Position

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.

Requirements

Advanced degree (Ph.D.) 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.
Proficiency with at least one common programming language (e.g., 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

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.
Work cross-functionally to translate collaborative findings into actively developed cutting-edge products
Design and execute scientific projects and experiments focused on product feature feasibility, demonstrating feature performance and clinical advantages of our cell-free platforms
Modeling and analysis of large, complex genomics datasets using novel methods to generate biological insights
Work with scientific teams to translate scientific findings into actively developed groundbreaking products
Publish results and present at conferences in exciting areas, including cell-free DNA and cancer genomics