Research Data Scientist

Rosalind Franklin University of Medicine & Science • North Chicago, IL

3d • Onsite

About The Position

A part-time data science position is available in the laboratory of Dr. Nicole Ferrara in the Center for Neurobiology of Stress Resilience and Psychiatric Disorders, Rosalind Franklin University of Medicine and Science. The focus of the lab is social fear memory with particular emphasis on interactions between the environment, fear, and social behaviors and how they impact neural circuits during development. This position is expected to last 3 months to a year, depending on the candidate’s availability and the needs of the lab. We anticipate this position to work 20 to 30hrs per week. The Ferrara lab records neural activity in vivo via fiber photometry and syncs brain recordings to behavior. We are looking for candidates who can establish a strong fiber photometry-behavior analysis pipeline and train lab members to implement.

Requirements

• Must have a PhD with a strong background in neuroscience.
• Extensive experience with one or more programming languages (i.e., MatLab, R, etc.).
• Experience with behavioral modeling (i.e., DeepLabCut, SLEAP, etc.).
• Experience with training and teaching.

Nice To Haves

• Evidence of scholarly productivity through presentations and publications.

Responsibilities

• Establishing a pipeline for fiber photometry and behavior analysis.
• Presenting new findings and techniques at weekly lab meetings.
• Training lab members on fiber photometry and behavioral analysis, data visualization, and data interpretation.

Benefits

• medical, dental, and vision plans
• paid parental leave
• flexible spending accounts
• a 403(b) retirement plan which includes an 8% employer contribution after two years of service
• up to 15 prorated days of vacation / personal leave
• 15 pro-rated sick days
• 9 holidays (if regularly scheduled to work on a University holiday)
• winter break
• 2 floating holidays

What This Job Offers

• Job Type: Part-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree