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.