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Director - Artificial Intelligence & Machine Learning

Company: Chan Zuckerberg Biohub - Chicago
Location: Chicago
Posted on: April 3, 2024

Job Description:

The Opportunity
We are seeking an outstanding Director - Artificial Intelligence/Machine Learning to join our team and lead the AI/ML Strategy and Program at the CZ Biohub Chicago, reporting to the President. This key leadership position will drive the strategic direction of AI initiatives, leveraging data-driven insights to propel innovative solutions and technologies forward at CZ Biohub Chicago. The Director of AI/ML will be responsible for directing the efforts of a dynamic team of experts in AI, machine learning and data science, in coordination with the Biohub's internal research groups and technology platforms, as well as others across the CZI research ecosystem.
The successful candidate will be an accomplished and active engineer/scientist/computation expert, with a proven track record for scientific innovation, impact, guidance/mentoring, and team management.
What You'll Do


  • Lead the AI/ML strategy and platform for the CZ Biohub Chicago, which is a research team composed of bioinformaticians, biologists, computer scientists, mathematicians and programmers
  • Contribute to primary research, tool building, problem solving, and academic output, including contributions to peer reviewed manuscripts, solutions to complex problems and scientific questions
  • Drive innovation by staying abreast of the latest advancements in machine learning and deep learning techniques and integrating them into the company's technology stack.
  • Create and implement solutions with respect to complex problems/scientific questions on large scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, especially in the area of genomics, proteomics, and imaging
  • Collaborate and coordinate with the other technology platforms (Bioengineering, Mass Spectrometry, Tissue Modeling) to analyze and integrate large scale data sets from diverse sources
  • Collaborate and coordinate with Group Leaders and their teams on projects, particularly enterprise-wide projects to identify, capture, store, and integrate data streams for analysis and hypothesis testing/generation
  • Work closely with IT to guide and provide input into scientific compute and data storage infrastructure priorities, strategy, data governance, security, and access policies
  • Oversee the end-to-end development lifecycle of computation platforms, from ideation and prototyping to deployment and optimization, ensuring high-quality, scalable, and efficient solutions and services
  • Establish best practices, methodologies, and standards for machine learning development and implementation, fostering a culture of excellence and innovation within the team
  • Act as a technical thought leader, representing the Biohub in conferences, industry events, and fostering strategic partnerships with academia and research institutions
  • Collaborate with software development and engineering teams at the Biohub and at the Chan Zuckerberg Initiative (CZI) to maximize access and impact of Biohub datasets, data pipelines, toolkits, and shared infrastructure
  • Contribute to a CZ wide AI community of practice sharing technologies, standards, and establishing joint projects as appropriate
  • Maintain compliance with regulatory standards and apply CZ trust principles to data management and model development

    What You'll Bring
    Essential

    • Expertise and Experience: Advanced degree in computer science or a related field, with a focus on machine learning & data analytics. At least 5+ years of relevant experience in an area of the life sciences interfacing with AI/ML.
    • Extensive Experience: 12+ years in engineering with a strong background in AI/ML, including 6+ years managing high-performance teams
    • Technical Mastery: Proficiency in AI/ML concepts, programming languages (Python, R, Scala), and familiarity with AI/ML frameworks (TensorFlow, PyTorch, Keras, etc.)
    • Innovative Leadership: Demonstrated ability in building and leading engineering teams, with a focus on AI/ML platform development and research
    • Leadership Skills: Proven ability in leading and mentoring high-performance teams. Strong analytical, problem-solving, and communication skills.
    • Collaborative Spirit: Ability to work in a highly interactive, cross-functional collaborative environment
    • Strategic Thinking: Ability to identify high-impact engineering projects, establish engineering culture and best practices, and manage resources effectively

      The Chan Zuckerberg Biohub Networkrequires all employees, contractors, and interns, regardless of work location or type of role, to provide proof of full COVID-19 vaccination, including a booster vaccine dose, if eligible, by their start date. Those who are unable to get vaccinated or obtain a booster dose because of a disability, or who choose not to be vaccinated due to a sincerely held religious belief, practice, or observance must have an approved exception prior to their start date.
      #J-18808-Ljbffr

Keywords: Chan Zuckerberg Biohub - Chicago, Chicago , Director - Artificial Intelligence & Machine Learning, Executive , Chicago, Illinois

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