Director, Clinical Data Science

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.
In our passionate pursuit to radically improve health outcomes, we serve humanity when we:
Lead with Science, Anchor in Pragmatism: We pioneer life-changing science by ensuring quality, transparency, and rigor at all times. We explore thoughtfully, experiment smartly, and deliver impact with conviction.
Build With & For All: We embrace diverse backgrounds to innovate and achieve together. We are not just building a product - we aim to disrupt the path of cancer for all - no matter geography or socioeconomic class 
Put We over I: We are a home for high-performing people. Through teamwork, we build collective intelligence. Each of us wins when those we serve and those who serve with us--win. We show up with empathy, humility, and integrity at every step of the journey.
DELFI has 1-2 designated in-office working days each week for employees who live within within 50 miles of Palo Alto CA or Baltimore MD offices
Within the R&D organization, we seek an experienced director of clinical data science to lead a high-functioning team at the intersection of clinical data, measurement science, and software engineering best practices.  In this role, you and your team will provide data engineering and analytics support for DELFI's clinical studies that inform current and future diagnostic products.

What you'll do

• Lead and develop a high-performing team of data engineers and analysts, fostering a culture of innovation and excellence
• Design and oversee the execution of comprehensive study and sample dashboards that provide critical insights into clinical research
• Collaborate closely with clinical statistical scientists to optimize statistical programming activities and methodologies
• Clean, transform, and deliver clinical, assay, and biosample data streams that will be used to train and validate machine learning algorithms for cancer detection
• Establish and maintain robust Standard Operating Procedures and best practices for the lifecycle management of statistical code
• Partner with other quantitative science groups (assay statistics, biostatistics, data science) to develop and implement consistent data standards (e.g. FAIR) across the organization
• Drive technical strategy for clinical data infrastructure and analytics
• Collaborate with statistical scientists, data scientists, and staff in clinical data management & quality groups on analysis projects to support product development
• Partner with Software Engineering on the design and development of new data infrastructure for managing clinical and research data pipelines

What you'll bring to DELFI

• Required
• Graduate degree in Biostatistics, Data Science, Computer Science, or a related quantitative field; 7-12 years of progressive experience in clinical data science or data engineering, depending on education level
• Deep expertise in statistical programming, data infrastructure, and analytics as evidenced by number of clinical studies supported, products released, or clinical study publications
• 10+ years’ experience in statistical programming languages (e.g. R, SAS, or Python), relational databases (e.g. SQL, object relational models), and version control (git).
• 3-5 years’ experience building and maintaining best-practice clinical data infrastructure and analytics pipelines (e.g. using Dagster or Airflow/Prefect) with the relevant dictionaries and ontologies (e.g. OWL, Clinical Trials Ontology, etc)
• Strong understanding of clinical research data management and regulatory requirements and standards in US and EU (e.g. CDISC, 21CFR11, GxP data integrity and validation, ICH E6/8)
• At least 2-4 years’ experience developing in vitro diagnostics, with a solid understanding of analytical & clinical validation and the product development process for IVD
• Able to balance strategy and tactics, e.g. executing complex projects with multiple stakeholders, turning business goals into actionable departmental and individual goals, proactively translating opportunities into strategic plans
• 5-8 years’ experience leading and motivating high-functioning teams, including skill in recruiting, onboarding, delegation, performance management, and career development
• Exceptional leadership, communication, and collaboration skills, including the ability to translate complex technical concepts for diverse stakeholders, negotiating and collaborating with senior leaders, peers, and external partners
• Preferred
• Background or interest in cancer genetics and genomics
• Basic understanding of machine learning concepts and statistics

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
This position is not eligible for agency partnership. Resumes and outreach from staffing representatives will be declined.