Jobs · Management · Maryland

HVAC Shop Supervisor (Facilities Management)

The Johns Hopkins University · Baltimore, MD · 3 mo ago
ManagementFull-time

About the role

The role involves managing a team of researchers and overseeing projects related to advanced data analytics and machine learning applications in healthcare.

Responsibilities

  • Oversee the development and implementation of complex data models and algorithms.
  • Collaborate with interdisciplinary teams to integrate data analytics solutions into clinical workflows.
  • Lead project teams in conducting research and providing actionable insights to improve patient outcomes.
  • Develop and maintain strong relationships with external partners and stakeholders to ensure alignment on project goals.

Requirements

  • Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience in leading data science initiatives and managing large-scale projects.
  • Expertise in machine learning, statistical modeling, and data analysis techniques.
  • Strong leadership and interpersonal skills to manage cross-functional teams.
  • Experience working in a healthcare setting or with healthcare data is preferred.
  • Qualifications

    • Ability to communicate technical concepts to non-technical stakeholders effectively.
    • Knowledge of regulatory compliance standards relevant to healthcare data.
    • Experience with data visualization tools and platforms.

    Skills

    • Proficiency in Python, R, or other programming languages used in data science.
    • Experience with big data technologies such as Hadoop, Spark, or similar.
    • Understanding of cloud computing services like AWS, Azure, or Google Cloud.
    • Experience with data warehousing and ETL processes.

    Benefits

    Comprehensive benefits package including health, life, and wellness programs, tuition assistance, career development opportunities, and work-life support.

    Pay

    $80,000 - $120,000 annually based on experience and qualifications.

    Schedule

    Full-time position with flexible working hours to accommodate project demands.

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