Sr. Administrative Coordinator (Psychiatry General Psychiatry)

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 to deliver innovative solutions that improve patient outcomes and operational efficiency.
• Conduct regular performance evaluations and provide career development guidance to team members.
• Stay updated on industry trends and best practices in data science and machine learning.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Minimum of 5 years of experience in data science, machine learning, or a related field.
• Proven track record of successful project management and leadership.
• Experience with statistical analysis, data modeling, and machine learning techniques.
• Strong understanding of healthcare data and its application in clinical settings.
• Excellent communication and interpersonal skills.

Qualifications

• Advanced degree in Computer Science, Statistics, Mathematics, or a related field preferred.
• Experience with data warehousing and ETL processes.
• Knowledge of healthcare regulations and compliance requirements.
• Proficiency in Python, R, or other relevant programming languages.
• Experience with cloud-based platforms such as AWS or Google Cloud.

Skills

• Data analysis and interpretation.
• Machine learning model building and deployment.
• Collaborative problem-solving and team leadership.
• Effective communication and presentation skills.
• Ability to manage multiple projects simultaneously.

Benefits

Competitive compensation package including health insurance, retirement plans, and professional development opportunities.

Pay

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

Schedule

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