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Student Researcher - Chemical Synthesis Automation and Machine Learning

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UES, Inc.

2021-12-03 07:35:31

Job location Aberdeen, Ohio, United States

Job type: fulltime

Job industry: Science & Technology

Job description

UES, Inc. has a research opportunity available to students in chemical, chemical engineering, biology, information technology, and related fields. The candidate will support a Ph.D. research scientist working with an automated liquid handling robot for the high throughput screening and optimization of synthetic reaction and formulation mixtures. The position will be required to be very reliable and communicative with remote Ph.D. scientist to control the liquid handling robot and both download and upload programming scripts and data. Candidates suitable for this position should be comfortable with preparing chemical solutions, working in a wet lab, and be well versed in electronic communication (uploading and downloading from the cloud, frequent email exchanges, and video meetings). This position will require a minimum commitment of 8 hours per week.

Requirements:

  • Enrollment in a BS program in a STEM related field: chemistry, chemical engineering, information technology, biology, or related field.
  • This position is working within a government facility and requires U.S. Citizenship

The ideal candidate will have:

  • Experience working in a wet lab
  • Experience with prepping solutions with specific concentrations of solutes
  • Experience with cloud based storage and well versed in electronic communication (video meeting and email)
  • Reliably responsive and communicative

Additional Information

UES, Inc. is an innovative science and technology company providing customers with superior research and development expertise since its inception in 1973. Our long-term success is a direct result of a strong commitment to the success of our employees. We look forward to reviewing your application.

UES is firmly committed to Equal Employment Opportunity (EEO) and prohibits employment discrimination for employees and applicants based on age, race, color, pregnancy, gender, gender identity, sexual orientation, national origin, religion, marital status, citizenship, or because of a disability, protected veteran or other status protected by federal, state and local laws.



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