Director, Data Science and AI

Description Please make sure to include the following information in the comments section when submitting on FG:
1. Location: Include the city of the candidate.
2. Work Authorization Status:
3. Vaccination Status:
4. Salary Expectation:

Assignment Information
Remote OK; Local candidates preferred- is there a reason for the preferred local candidates? Will there still be a requirement to go in the office? With our leadership roles, there is always an expectation that they will be onsite as often as needed. While the other leaders on this team are predominantly remote, they do come in/onsite several times a year. It makes most sense that the candidate be within reasonable driving distance for this reason. That said, If the idea candidate happens to reside outside of this area, we will consider as long as he/she is willing and able to travel onsite as often as requested based on business need or the determination of his/her leaders

" Work location: 2011 N. Soto St Los Angeles, CA 90032
" Campus or Medical Enterprise: Medical Enterprise
" Working Job Title: Director, Data Science and AI
" Number of needs: 1
" Duration of Assignment: Direct Hire

" Work hours: 8-5
" 2 -3 steps Video/ Teams interview process
" Dress code: Business Casual

Summary:
The Director, Data Science and AI is responsible for leading the cutting-edge development and implementation of data-driven solutions that enhance the quality, efficiency, and value of healthcare delivery at Keck Medicine of USC. The Director oversees a team of data scientists, engineers, and analysts who leverage advanced analytics, machine learning, natural language processing, computer vision, and other AI techniques to create innovative applications and tools for clinical, operational, and research purposes. The Director collaborates with stakeholders across the organization to identify opportunities, define requirements, oversee projects, and ensure alignment with the strategic goals and mission of Keck Medicine of USC.

Minimum Education/Experience:
US Citizens is a requirement****
" Master's Degree in related field highly preferred OR relevant bachelor's degree plus 5 additional years of related experience
" Minimum of 5 years of experience in leading and managing data and analytics teams with at least 3 years managing data science and AI projects or teams in a research or healthcare setting
" Experience in mentoring and supervising data scientists, machine learning engineers, and product/data analysts
" Experience managing successful collaborations with faculty, CROs, administrators, clinical leaders, and other external organizations
" Demonstrated expertise in applying advanced statistical and machine learning techniques to real-world problems, such as predictive modeling, natural language processing, computer vision, or recommender systems at scale.
" Demonstrated expertise in managing the entire AI/ML lifecycle, from ideation, data acquisition and model training, to production deployment and monitoring, including developing scalable AI/ML CI/CD solutions.
" Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences, such as clinicians, researchers, administrators, or faculty.
" Ability to interact and communicate effectively with senior executive teams.
" Demonstrated ability to lead and influence experienced professionals.
" Ability to think critically, creatively, and to anticipate and solve problems.
" Ability to navigate and be successful in a fast-paced, highly-matrixed work environment
" Experience in securing and managing grants and contracts for data science and AI initiatives, as well as adhering to ethical and regulatory standards for data privacy and security preferred
" Proficient in using various programming languages and tools for data analysis and machine learning, such as AWS Sagemaker, Comprehend Medical, Python, SQL, TensorFlow, PyTorch, or Spark preferred
Accountabilities:
" Define and own the standard of excellence for data science, machine learning, and AI.
" Lead the data science and AI team to design, develop, and implement innovative solutions that leverage data and advanced analytics to improve health outcomes, quality of care, and operational efficiency.
" Collaborate and establish partnerships with clinical, research, and administrative stakeholders to represent team capabilities/aspirations and identify high-impact use cases.
" Manage the end-to-end lifecycle of data and AI projects, including data acquisition, preprocessing, modeling, validation, deployment, monitoring, and maintenance.
" Provide technical guidance and mentorship to data scientists, engineers, and product/data analysts on the best practices and standards of data and AI development and delivery.
" Operate within the data and AI governance framework to ensure ethical, legal, and responsible use of data and AI across the organization.
" Promote a culture of continuous learning and adapting by evaluating and adopting new emerging technologies, tools, and methodologies that enhance the data and AI capabilities and performance of the team and the organization.
" Apply a detailed understanding of data science and translational medicine to ensure Keck Medicine of USC is at the cutting edge of both current and future applications
" Establish repeatable processes, playbooks, standards, and best practices to ensure the team is identifying and delivering cumulative value with zero technical debt and to drive adoption, consistency, and scale across teams.
" Communicate and disseminate data and AI insights and results to various audiences, including senior leadership, clinicians, researchers, and external partners.
" Drive a culture of innovation and continuous improvement, ensuring the team is driving a mindset to creatively and collaboratively challenge and improve established best practice standards.
" Provide strategic guidance to Data, Analytics, and AI Executive Leadership in addition to other senior leaders.

For any full-time equivalent (FTE) direct hire roles, USC is responsible for completing the onboarding background requirements once the offer is accepted.

Medical Enterprise - Non-Clinical Onboarding Requirements:
Background, Education, and Employment
Background Check:
Social Security Trace: 7 years worked and lived found by SSN Trace
County Criminal F&M: 7 years
Federal Criminal: 7 years
Widescreen Plus National Criminal Search
National Sex Offender Registry
Healthcare Sanctions State
OIG/SAM
Education:
SEE JD
Employment:
Verification of 3 Employers, with 2 out of 3 verified
Other Requirements:
HIPAA Training
Application
Temporary Worker Agreement
Harassment & Discrimination Pamphlet
Medical Requirements:
Immunizations:
MMR (Measles, Mumps, Rubella): Proof of immunity or series of 2 shots
Varicella (Chickenpox): Proof of immunity or series of 2 shots
Hepatitis B: Proof of immunity or series of 3 shots; worker can decline with a declination form on file
TB Test:
Annual test required; results must be read within 24 to 48 hours
Positive TB history requires chest x-ray results
Drug Screen:
Must be taken within 72 hours or the offer is rescinded.
10-panel drug test including:
o Amphetamines
o Barbiturates
o Benzodiazepines
o Cocaine metabolite
o Opiates (Codeine, Morphine)
o Hydrocodone
o Hydromorphone
o Oxycodone
o Phencyclidine
o Methadone
o Propoxyphene
Influenza Vaccination:
Required for the current flu season (11/1 through 4/30)
Workers starting after May 1st should wait until after September 1st for the next flu shot season
Accepts signed personal/medical exemption
COVID Vaccinations:
Fully vaccinated with Covid-23-24 Vaccine
Accepts signed religious/medical exemption

Note: All items are billable except for the drug screen.

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