Research Assistant

The Smith-Kettlewell Eye Research Institute is seeking a motivated and organized Research Assistant to work in the lab of Associate Scientist, Dr. Natela Shanidze, on projects that examine how vision loss affects balance and coordination, especially in the elderly.

The candidate for this position should have a strong background in programming and Arduino-based (or similar) hardware control along with the desired skillsets set forth below. The position is non-exempt, 5 days per week (100% effort) with full benefits. 

Job Duties – In addition to related activities as required, the primary responsibilities of this position include:

·       Developing and maintaining software to display visual stimuli and acquire/analyze eye and head movement data

·       Hardware development and design to acquire synchronized eye and head movement responses to visual and motion stimuli

·       Acquisition and analysis of sensor data using signal processing and numerical analysis

Qualifications – The qualified candidate must have strong skills in the following areas:

·       Bachelor’s Degree required; Master’s Degree in Engineering, Computer Science or similar desired

·       Excellent written and verbal communication

·       Creative problem-solving

·       Attention to detail

·       Ability to work independently and as part of a team

·       Reliability and dependability

Experience – The ideal candidate will possess background in the following areas:

·       Scientific data collection, management, processing and presentation

·       MATLAB and Python (or similar) programming languages

·       Arduino or similar hardware platforms

·       Windows and Linux operating systems (desired)

·       Human subject research (desired)

 

Interested applicants should submit a cover letter and resume to jobs@ski.org.

Please see other career opportunities on our website:  http://www.ski.org/current-opportunities 

 

The Smith-Kettlewell Eye Research Institute is an Equal Opportunity Employer.  We comply with applicable laws ensuring equal employment opportunities to qualified individuals including applicants with a criminal history pursuant to the San Francisco Fair Chance Ordinance.