Sr. Bioinformatics Scientist - DNA Technology Development & Applied AI

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.

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

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

Benefits

• annual performance-based bonus (or a sales incentive plan)
• long-term incentive units (equity)
• medical
• dental
• vision
• 401(k) match
• ESPP
• tuition reimbursement
• sick/vacation time
• commuter benefits
• EV charging stations
• onsite gym
• wellness benefits