Neuroimaging Data Analyst Junior

Neuroimaging Data Analyst Junior

The Translational Reproductive Neuropsychiatry and Data Science Lab is part of the Department of Psychiatry, the Neurodevelopment & Psychosis Section, and the Lifespan Brain Institute (LiBI). Our goal is to personalize early interventions in reproductive psychiatry. To do this, we use non-invasive neuroimaging and advanced computational methods to understand mechanisms underlying sex differences in psychopathology and identify neuroendocrinologic markers of risk vs.

resilience for psychiatric disorders. The Neuroimaging Data Analyst Junior will provide support for managing and analyzing data.

The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education.

The Neuroimaging Data Analyst Junior provides support for managing and analyzing neuroimaging data. Analysts play a central role on large-scale projects that seek to understand sex differences in brain development and the biological basis of hormonally-driven psychiatric symptoms such as perinatal depression. Within these projects, they work in a team environment with a diverse, multi-disciplinary group of faculty and trainees from psychiatry, psychology engineering, statistics, and computer science.

Primary responsibilities include management, processing, and analysis of high-dimensional imaging data. Additional responsibilities will be assigned based on the successful candidate's skills and interests. All analysts additionally lead independent projects (i.e., meta-analyses of neuroimaging studies) where they write first-author manuscripts.

The ideal candidate has a Bachelor's degree in Engineering, Statistics, or Computer Science, 0-1 years of research experience or equivalent combination of education and experience is required. To succeed in the highly collaborative environment, excellent interpersonal and communication skills are required. Program and data analysis skills are strongly preferred, including Python, linux/bash, and R. Experience with machine learning, clinically-acquired neuroimaging, neuroimaging tools (SPM, AFNI, FSL), and Epic databases (Clarity, databricks, Caboodle) is strongly preferred but not required.

Background check required. Position contingent on funding.

Working Conditions Office, Library Physical Effort Typically sitting at a desk or table;
Occasional lifting 25 lb. or less

Job Location - City, State Philadelphia, Pennsylvania

Department / School Perelman School of Medicine

Pay Range $26.66 - $33.00 Hourly Rate

Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.

Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.

Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

University Benefits

• Health, Life, and Flexible Spending Accounts :
  Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars.
• Tuition :
  Take advantage…