About Us

DELFI Diagnostics, Inc. (DELFI Diagnostics) is developing next-generation, blood-based tests that are reliable, accessible and deliver a new way to help detect cancer. Employing advanced machine-learning methods to whole-genome sequencing data, the DELFI ("DNA EvaLuation of Fragments for early Interception") platform is built to address the highest-burden health challenges. DELFI Diagnostics prioritizes solutions that have the potential to save lives on a global scale, including for historically underserved populations. DELFI Diagnostics’ platform relies on fragmentomics – the discovery that cancer cells are more chaotic than normal cells and, when they die, leave behind tell-tale patterns and characteristics of cell-free DNA (cfDNA) fragments. FirstLook Lung, for individuals eligible for lung cancer screening, is DELFI Diagnostics’ first laboratory-developed screening test and can be part of routine blood work. FirstLook Lung uses millions of data points to reliably identify individuals who may have cancer detected through low-dose CT, including early stage disease with a negative predictive value of 99.8 percent. This test has not been cleared or approved by the FDA.

What You'll Do

• Manage and lead a cross-functional team of data scientists, computational biologists, and bioinformatics engineers
• Oversee the development and delivery of cutting-edge machine learning algorithms to detect cancer from blood samples
• Collaborate with peers leading assay design & development, laboratory operations, and clinical development to substantively advance DELFI's R&D objectives
• Partner with IT & cybersecurity team lead to develop a 2-3 year technology roadmap, including in-house tooling for GenAI and ML infrastructure
• Represent DELFI externally at national and international conferences, and in strategic meetings with academic partners and governmental / regulatory bodies

What You'll Bring to DELFI

Required

• PhD (or MS and equivalent experience) in Computer Science, Computational Biology / Bioinformatics, Applied Mathematics, Statistics, Physics, or EE
• 10-15 years’ experience with a wide variety of classical and modern methods used in machine learning and AI (unsupervised, semi-supervised, or supervised learning) as evidenced by strong publication record and/or algorithms released into production
• 3+ years expertise in developing transformer models, neural networks, and/or representation learning as applied to biological problems
• 5+ years expertise programming in Python/R including modern ML frameworks (Tensorflow, Pytorch, or Jax), production compute environments (AWS/Nvidia), and versioning principles for reproducible model-building and evaluation
• 10+ years of experience leading and managing teams exemplifying best practice in recruiting, team-building, employee performance management and career development, goal-setting, and cross-functional collaboration
• Superb written, verbal communication, and influencing and presentation skills, including the ability to communicate complex concepts succinctly to a variety of audiences
• Decisive, intellectually curious, proactive, and composed with a balance of high IQ and EQ

Preferred

• 3+ years of experience working in biotech/pharma/diagnostics
• Expertise in explainable models, interpretability/white-box models, and federated learning
• Background or interest in cancer genomics, molecular biology, and the latest genotyping and phenotyping techniques