Sr. Bioinformatics Scientist - DNA Technology Development & Applied AI

Sr. Bioinformatics Scientist - DNA Technology Development & Applied AI Fremont, CA 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. The role also involves collaborating with clinical evidence generation teams to apply cell‑free solutions to large cancer patient cohorts and profile patient response to therapy with cfDNA platforms, directly contributing to a new generation of 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, focusing 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. Model and analyze large, complex genomics datasets using novel methods to generate biological insights. Publish results and present at conferences in areas such as cell‑free DNA and cancer genomics. Requirements Advanced degree (Ph.D.) in bioinformatics, computational biology, genomics, machine learning, or a related field. Extensive experience with cancer genomics, including 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 in utilizing and training modern deep learning architectures, with a preference for candidates who have trained or fine‑tuned large language models 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 on findings from complex projects. Experience publishing and presenting scientific results. Hiring range: $155,000 to $190,000 per year, depending on geographic region, internal equity, and candidate qualifications. The base pay offered is determined based on internal equity, geographic region, job‑related knowledge, skills, and experience. Our full‑time positions include an annual performance‑based bonus, long‑term incentive units (equity), and a full range of medical, financial, and other benefits. Personalis is an equal‑opportunity employer and is committed to the full inclusion of all individuals. Persons with disabilities are provided with reasonable accommodations. If you need an accommodation to participate in the job application or interview process, to perform essential job functions, or to receive other benefits and privileges of employment, please let your recruiter know when they contact you. #J-18808-Ljbffr