Director - Artificial Intelligence & Machine Learning
Company: Chan Zuckerberg Biohub - Chicago
Location: Chicago
Posted on: May 2, 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.
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Keywords: Chan Zuckerberg Biohub - Chicago, DeKalb , Director - Artificial Intelligence & Machine Learning, Executive , Chicago, Illinois
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