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Director – Machine Learning Science
Posted on 3/15/2023
San Bruno, CA, USA
Experience Level
Desired Skills
  • PhD in computer science, statistics, mathematics or other relevant scientific discipline. Alternatively, directly relevant professional experience and documented scientific achievements equivalent to a PhD in these disciplines
  • 7+ years post-PhD (or post-PhD-equivalent) experience with statistical and ML model development
  • Expertise with large-scale ML model development frameworks
  • Outstanding command of modern ML model development software engineering and data architecture practices, including several of the following:
  • Distributed high-performance computing, including workflow orchestration systems
  • Semantic modeling and graph database techniques
  • Source code management (e.g., Git)
  • Containerization or other mechanisms for compute environment management
  • One or more common ML model development frameworks (e.g., PyTorch, TensorFlow, or scikit-learn)
  • 3+ years leading or managing scientific and software engineering staff
  • Track record of selflessly supporting highly effective cross-functional teams, and of collaborating closely with subject matter experts in other disciplines
  • Lead a team that develops robust and performant classifiers for early cancer detection, based on multiomics molecular signals in the blood
  • Be an expert in current statistical modeling and ML techniques - one who is able to rapidly evaluate and select methodologies that are appropriate for Freenome's data types, and to develop new approaches when required
  • Serve as a key thought leader on engineering and scientific leadership teams
  • Be capable of guiding the scientific work of your team and also digging into the code and data directly
  • Collaborate with computational biologists to better understand the nature of the underlying assays, molecular signals and biological systems, in order to maximize the predictive value of our training data
  • Work closely with ML research engineers to help them optimize infrastructure and better support the evaluation and development of new ML architectures
  • Nurture and grow a high-functioning ML Science team, by mentoring existing staff and recruiting new staff with skill sets and development goals aligned with Freenome's mission
  • Possess an ability to explain complex modeling methodologies to staff in other disciplines, in order to increase their understanding of Freenome's products and to identify new opportunities for application of ML techniques
  • Create opportunities for team members to undertake independent work and shape their own professional directions
  • Partner with other engineering and scientific leadership at Freenome to develop roadmaps and strategies
  • Inspire a culture of innovation, translating discoveries into high-impact R&D pipelines and clinical applications
  • Exemplify Freenome's commitment to “servant leadership” by maximizing the full team's potential for impactful contribution
Desired Qualifications
  • Experience developing ML models in Python
  • Industry experience working in a diagnostics, pharmaceutical, or other biotechnology environment
  • Experience applying ML techniques to high-dimensional molecular biology data types
  • Experience with cloud-based high-performance computing

201-500 employees

Blood test cancer detection biotech company
Company Overview
Freenome's mission is to empower everyone to prevent, detect, and treat disease by developing high-quality diagnostic tests. The developing next-generation blood tests powered by their multiomics platform to discover the body’s earliest warning signs of cancer, and develop accessible tests to detect cancer in its earliest, most treatable stages.
  • Competitive market-based salaries
  • Annual bonus opportunities
  • Relocation packages
  • Medical, dental, & vision coverage
  • 401k
  • Wellness programs
  • Equity
  • PTO
Company Core Values
  • Empathy
  • Integrity
  • Trust
  • Strive for greatness
  • Servant leadership