Jobs · Administrative · Maryland

Interviewer (Health, Behavior and Society)

The Johns Hopkins University · Baltimore, MD · 4 mo ago
AdministrativeFull-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 designing, testing, and deploying innovative data-driven solutions.
  • Conduct regular performance evaluations and provide career development guidance to team members.
  • Stay updated on industry trends and advancements in data analytics and machine learning.

Requirements

  • A PhD in Computer Science, Statistics, or a related field.
  • Proven experience in leading data science initiatives and managing large-scale projects.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of statistical methods and data analysis techniques.
  • Excellent communication and interpersonal skills.
  • Ability to manage multiple projects simultaneously and meet deadlines.
  • Qualifications

    • Minimum 7 years of relevant work experience.
    • Experience in healthcare data management and analysis.
    • Knowledge of healthcare regulations and compliance requirements.

    Skills

    • Data modeling and algorithm development.
    • Machine learning and deep learning.
    • Statistical analysis and data interpretation.
    • Project management and team leadership.
    • Healthcare data management and analysis.

    Benefits

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

    Pay

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

    Schedule

    Full-time position with flexible working hours.

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