Jobs · Education · Maryland

Teaching Assistant - SEE - Online (Sustainable Energy Engineering)

The Johns Hopkins University · Baltimore, MD · 5 mo ago
EducationInternship

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 and executing research studies that enhance patient outcomes.
  • Develop and maintain strong relationships with key stakeholders including clinicians, IT professionals, and regulatory bodies.
  • Conduct regular performance evaluations and provide career development guidance to team members.

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

  • Expertise in data management and database systems.
  • Knowledge of healthcare regulations and compliance standards.
  • Experience with data visualization tools like Tableau or Power BI.
  • Proficiency in Python, R, or other programming languages.

Skills

  • Data modeling and machine learning.
  • Project management and team leadership.
  • Interdisciplinary collaboration.
  • Regulatory compliance and healthcare knowledge.

Benefits

Our organization offers comprehensive benefits including health, life, and well-being programs, tuition assistance, career development opportunities, and work-life support.

Pay

Salary range: $80,000 - $120,000 annually.

Schedule

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

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