Life Science Research Professional 1

Andreas Tolias’ research team is seeking a talented life science research professional to join a multi-disciplinary team of scientists and engineers working on large scale technologies for recording brain activity in complex behavioral paradigms. The ideal candidate will have experience working with or large scale electrophysiology approaches. This LSRP will be involved in exciting projects studying brain cognition using state of the art facilities and ultra-high density electrophysiological recordings including Neuropixels probes. The applicant will support a team of leading researchers in experimental neuroscience, computational neuroscience, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and link brains to intelligent machines. The goal of the team is to understand the brain’s mechanisms of intelligence and engineer smarter AI.

If you are excited to work at the interface of neuroscience, artificial intelligence and cognitive science–to understand the brain’s mechanisms of perception and cognition and to engineer less artificial, more intelligent machines–apply to join our team.

Duties include :

• Assists the Experimental Development team in daily readiness for electrophysiology experiments, including 3d printing supplies for recordings, assembling and validating new recording equipment and setting up Neuropixels probe microdrives for use by the Data Acquisition team.
• Maintain usage logs and documentation for experimental equipment for electrophysiology set ups and recording equipment..
• Works closely with collaborators on NHP projects and data collection.
• Assists with protocol development for experimental development.
• Regularly inspects and maintains experimental equipment to maintain large scale electrophysiology recordings.
• Interacts and coordinates with the Data Acquisition team lead in order to maintain systematic workflow for success of experiments..
• Assists the Experimental Development team as needed for other projects related to neurophysiology and task design and training.
• Other duties may also be assigned

DESIRED QUALIFICATIONS :

Bachelor’s degree in a basic science field with 2 years of direct experience. Candidates with experience in large scale electrophysiology will be given preference. Electrophysiology experience is preferred.

EDUCATION & EXPERIENCE (REQUIRED) :

Bachelor's degree in a related scientific field.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED) :

Excellent organizational skills and demonstrated ability to accurately complete detailed work.

PHYSICAL REQUIREMENTS

Position may require repetitive motion.

WORKING CONDITIONS :

The expected pay range for this position is $31.40 to $38.89 per hour.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( https : / / cardinalatwork.stanford.edu / benefits-rewards ) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form .

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.