<p>Hiring Department</p> <p>NextGen Precision Health</p> <p>Job Description</p> <p>The Kundu lab at the University of Missouri, Department of Neurosurgery is searching for a talented and highly motivated research specialist/staff scientist to join the lab and work closely with the PI to perform data collection, data analysis, and manuscript preparation of intracranial electrophysiological data and imaging data acquired from neurosurgical patients. Broadly the lab studies the neural bases of cognitive functions such as memory and attention and the pathological processes underlying circuit disorders such as epilepsy and Parkinson's disease.</p> <p>The research specialist is expected to function with a large amount of autonomy under the supervision of Dr. Kundu to develop protocols to acquire data, acquire data from neurosurgical patients who participate as subjects in these studies, analyze data, maintain electrophysiological instruments (Blackrock amplifier) for data collection, and maintain a lab server for data storage and analysis, as well as present findings. This is a unique opportunity for scientific discovery in an academic environment that is supportive and collegial and within a college town that is great to live in.</p> <p>Duties:</p> <ul> <li>Work directly with the PI to develop and implement the research plan with patients </li></ul> <p>o Timely consenting and testing of patients</p> <p>o Interfacing with hospital staff</p> <p>o Meticulous organizational skills to store patient data</p> <ul> <li>Perform data analyses </li></ul> <p>o Signal processing methods</p> <p>o Machine learning pipelines</p> <p>o Statistical analysis of large datasets</p> <p>o Computational neuroscience concepts</p> <ul> <li>Maintain electrophysiological instruments (Blackrock amplifier, etc) and computers for data collection </li><li>Maintain a lab server for data storage and analysis </li><li>Assist in preparing data tables and figures </li><li>Assist with writing sections of IRB protocols, manuscripts, and grants </li><li>Help with patient recruitment protocols and manage patient data </li><li>Help post docs, graduate students, and medical students in the lab (e.g. onboarding and orienting to the lab, helping them learn basic protocols, etc) </li><li>Help coordinate with vendors to purchase and maintain lab equipment, submit reimbursement information for purchases </li><li>Helping write and manage University research protocols for human subjects research </li><li>Manage organization and scheduling of weekly lab meetings and participate in them </li><li>Attend and present at conferences as appropriate </li></ul> <p>An ideal candidate will have:</p> <ul> <li>Expertise in scientific programming, e.g. Matlab, Python, C++ </li><li>Effective communication skills (oral and written) are essential </li><li>Expertise with neural electrophysiological data analysis (i.e. EEG, ECog, SEEG, LFP, single unit analyses) </li><li>Experience with implementing machine learning pipelines and other statistical analyses </li><li>Fluent in spoken and written English </li><li>Punctual, organized </li><li>A passion for solving scientific problems </li></ul> <p>This is a 1-year position with opportunity to contingent upon satisfactory performance and continued funding sources.</p> <p>Shift</p> <p>Monday - Friday, 8:00 a.m. - 5:00 p.m.</p> <p>Minimum Qualifications</p> <p>A Bachelor's degree and at least 3 years of experience from which comparable knowledge and skills can be acquired is necessary.</p> <p>Preferred Qualifications</p> <ul> <li>Master's or PhD level of education in biomedical engineering, electrical engineering, computer science, mathematics, physics, neuroscience or related field </li><li>Experience with computational neuroscience, modeling, large dataset analysis </li><li>Experience with brain imaging data (i.e. MR data) </li><li>Track record of publications in scientific journals </li></ul> <p>Anticipated Hiring Range</p> <p>Salary Range: $52,915.20 - $80,000.00 per year</p> <p>Grade: GGS 010</p> <p>University Title: Research Specialist Lead</p> <p>Internal applicants can determine their University title by accessing the Talent Profile tile in myHR.</p> <p>Application Materials</p> <p>Application, CV, References</p> <p>Benefit Eligibility</p> <p>This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, paid time off, short- and long-term disability, paid parental leave, paid caregiver leave, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits.</p> <p>Equal Employment Opportunity</p> <p>The University of Missouri is an Equal Opportunity Employer.</p> <p>To request ADA accommodations, please call the Director of Accessibility and ADA at 573-884-7278.</p> <p>Apply for Job</p> <ul> <li> <p>Explore Jobs</p> </li><li> <p>Sign In</p> </li><li> <p>New User</p> </li></ul>