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Jobs · Information Technology · Massachusetts

Temporary Research Technician in ML in Healthcare

Worcester Polytechnic Institute · Worcester, MA · 4 wk ago
Information Technology$20/hrFull-time

Key Responsibilities

  • Apply machine learning algorithms to problems in fluid mechanics, medical imaging, and related domains.
  • Design, develop, and enhance research websites and web-based applications.
  • Collaborate with multidisciplinary teams to carry out research activities within the scope of funded projects.
  • Publish research findings, methodologies, and algorithms in leading conferences and high-impact journals.
  • Contribute to innovation-driven technological projects with strong potential for commercialization.

Qualifications

  • Bachelor’s degree (B.S.) in Computer Science, Data Science, Engineering, or a related field.
  • Preferred Qualifications: Proficiency in programming languages such as Python, JAX, PHP, or similar. Previous experience working in a university-level research lab or academic environment.

Special Instructions To Applicants

  • To apply, submit a resume with your application.
  • Names and contact information for references will be required.
  • A cover letter is encouraged, especially for candidates who meet preferred qualifications.

Compensation

Hourly Pay: $20.00 per hour.

Schedule

This is a temporary hybrid 20 - 40 hrs per week position.

Status

FLSA STATUS: United States of America (Non-Exempt)

About the Role

Professor Zhenglun Alan Wei is seeking to fill Temporary Research Technician positions in ML in Healthcare at Worcester Polytechnic Institute - WPI.

Benefits

The posting may close once a sufficient number of qualified applications has been received. While optional, a cover letter is encouraged, especially for candidates who meet preferred qualifications.

Pay

This is a temporary hybrid 20 - 40 hrs per week position.

Schedule

This is a temporary hybrid 20 - 40 hrs per week position.

Equal Opportunity Employer

Worcester Polytechnic Institute is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

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