Senior Data Engineer (Department of Neuropsychiatry)

Senior Data Engineer (Department of Neuropsychiatry)

University Overview

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation.

This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey.

Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning.

As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities.

With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

COVID-19 vaccination is a requirement for all positions at the University of Pennsylvania. New hires are expected to be fully vaccinated before beginning work at the University.

For more information about Penn's vaccine requirements, visit the Penn COVID-19 Response website for the latest information.

Posted Job Title

Senior Data Engineer (Department of Neuropsychiatry)

Job Profile Title

Research Investigator, Senior

Job Description Summary

Senior Data Engineer

The Lifespan Informatics and Neuroimaging Center (PennLINC, www.pennlinc.io) is part of the Department of Psychiatry, the Neurodevelopment & Psychosis Section, and the Lifespan Brain Institute (LiBI).

Our goal is to delineate normal brain maturation and understand how abnormalities of development give rise to psychiatric symptoms.

To do this, we leverage large-scale studies of advanced multi-modal MRI imaging. The senior data scientist will provide lead multi-disciplinary data analysis efforts.

Job Description

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.

http : / / www.med.upenn.edu /

Research Investigator Senior

Ted Satterthwaite and the Penn Lifespan Informatics and Neuroimaging Center (PennLINC, www.pennlinc.io ) are seeking to recruit a senior data scientist This job requires substantial experience with highly specialized neuroimaging tools, experiments, and analytics.

The applicant will be expected to innovate and apply novel methods that are on the cutting edge of a rapidly moving field.

Responsibilities will include : developing and applying advanced data analysis techniques, leading international software collaborations, developing and maintaining imaging processing pipelines and maintaining them with a international user base, applications to large-scale datasets, and supervising staff and trainees.

This position will involve working as part of a highly-interdisciplinary research team that includes experts in diverse fields such as neuropsychiatry (Raquel E.

Gur; director of LiBI and UPenn Neuropsychiatry), neuropsychology (Ruben Gur; director of BBL), network theory (Danielle S.

Bassett), multivariate pattern analysis (Christos Davatzikos), imaging statistics (Taki Shinohara), reward neuroscience (Dan Wolf), and cognitive neuroscience (David Roalf).

To work effectively in this highly collaborative environment, the applicant must have superior communication, language, and writing skills.

Qualifications

Highly advanced professional discipline. Ph. D., or equivalent doctoral degree and 5-7 years of postdoctoral experience is required.

Experience in software design, biomedical, or psychological research, or data science is essential. Extensive experience with diverse programming and analysis languages including Python, R, shell (linux / unix / bash) is necessary, along with facility with learning new technical skills independently.

Extensive experience with spedcialized neuroimaging tools (AFNI, FSL) is strongly preferred.

Background check required. Position contingent on funding.

Working Conditions

Office, Library, Computer Room.

Physical Effort

Typically sitting at a desk or table; Occasional lifting 25 lb. or less

Job Location - City, State

Philadelphia, Pennsylvania

Hybrid Eligible - This position is eligible for a hybrid work schedule with a work week divided between working onsite and working remotely.

Department / School

Perelman School of Medicine

Pay Range

$36,368.00 - $148,122.66

Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, as well as internal and market factors and grade profile.

Affirmative Action Statement

Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.

Special Requirements

Background check 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 of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn.

Your dependent children are also eligible for tuition assistance at other institutions.

Retirement : Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis.

Choose from a wide variety of investment options through TIAA and Vanguard.

Time Away from Work : Penn provides you with a substantial amount of time away from work during the course of the year.

This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family whatever your personal needs may be.

Long-Term Care Insurance : In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility.

If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements.

Eligible family members must always provide proof of good health and are subject to underwriting.

Wellness and Work-life Resources : Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life.

That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance.

• Professional and Personal Development : Penn provides an array of resources to help you advance yourself personally and professionally.
• University Resources : As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities.

Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples.

As a member of the Penn community, you're right in the middle of the excitement and you and your family can enjoy many of these activities for free.

Discounts and Special Services : From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff.

Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff.

You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks.

Flexible Work Hours : Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments.

These approaches involve use of non-traditional work hours, locations, and / or job structures.

• Penn Home Ownership Services : Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements.
• Adoption Assistance : Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household.

To learn more, please visit : https : / / www.hr.upenn.edu / PennHR / benefits-pay

To apply, visit https : / / wd1.myworkdaysite.com / en-US / recruiting / upenn / careers-at-penn / job / Med-Sch-Richards-Building 5th-Floor / Senior-Data-Engineer Department-of-Neuropsychiatry- JR00064719-1

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