Demo

Data Scientist Lead

Johns Hopkins HealthCare
Petersburg, FL Full Time
POSTED ON 2/28/2025
AVAILABLE BEFORE 5/25/2025

Johns Hopkins All Children's Hospital is a premiere clinical and academic health system, providing expert pediatric care for infants, children and teens with some of the most challenging medical problems. Ranked in multiple specialties by U.S. News & World Report, we provide access to innovative treatments and therapies. With more than half of the 259 beds in our teaching hospital devoted to intensive care level services, we are the regional pediatric referral center for Florida's west coast. Physicians and community hospitals count on us to care for critically ill patients and perform complex surgical procedures.

What Awaits You?

  • Career growth and development
  • Diverse and collaborative working environment
  • Employee discount program
  • Affordable and comprehensive benefits package
  • Paid Time Off (PTO) and company paid holidays
  • Life Insurance
  • Tuition Assistance

POSITION SUMMARY :

Leads Junior / Senior data scientists in comparative analyses and integration of large and complex data sets across multiple studies and sources, including interfacing with technology infrastructure to support biomedical research in various initiatives across the organization. Outcomes from dedicated analytic projects should contribute to the growth and expansion of predictive analytics on a local and national level. The lead data scientist should have a demonstrated track record of contributions to peer-reviewed journals and presentations at local and national conferences and should serve to lead the center in cutting edge research. The candidate will represent the Center for Pediatric Data Science and Analytic Methodology at prominent national and international conferences. This position should also serve to educate Johns Hopkins All Children's researchers and clinicians about the use and applications of data science in clinical practice.

QUALIFICATIONS :

  • PhD in data science, analytics, informatics, statistics, mathematics, computer science, or related field.
  • Minimum of 3 years of experience with core analytic methodologies (e.g. regression, classification, clustering, matrix factorization, natural language processing, decision trees, support vector machines, neural networks) within healthcare and progressively complex data.
  • Minimum of 3 years of exposure to development of machine learning algorithms and predictive modeling.
  • Track record of publications in peer-reviewed journals.
  • Demonstrated technical leadership experience with small teams (e.g. product owner)
  • Strong programming skills in environments such as Python, Matlab, R, SQL or other interpreted developmental languages.
  • Experience working with open-source clinical data sources.
  • Ability to communicate and relate well to people of diverse backgrounds, training, and experience.
  • Preferred Completion of recognized leadership training or certification from reputable institutions or organizations.
  • Salary Range : Minimum 47.90 per hour - Maximum 76.63 per hour. Compensation will be commensurate with equity and experience for roles of similar scope and responsibility.

    In cases where the range is displayed as a $0 amount, salary discussions will occur during candidate screening calls, before any subsequent compensation discussion is held between the candidate and any hiring authority.

    JHM prioritizes the health and well-being of every employee. Come be healthy at Hopkins!

    Diversity and Inclusion are Johns Hopkins Medicine Core Values. We are committed to creating a welcoming and inclusive environment, where we embrace and celebrate our differences, where all employees feel valued, contribute to our mission of serving the community, and engage in equitable healthcare delivery and workforce practices.

    Johns Hopkins Health System and its affiliates are drug-free workplace employers.

    Johns Hopkins Health System and its affiliates are an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, mental or physical disability, genetic information, veteran status, or any other status protected by federal, state, or local law.

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