Data Engineer I

EXPIRED

Job Summary:

The Badger Athletic Performance Program (https://bap.ortho.wisc.edu) is hiring a Data Engineer to support our ongoing data analysis procedures and overall research goals. This position will be responsible for overseeing all data processing pipelines for data collected through routine student-athlete testing, research projects, and other projects resulting from internal and external collaborations. The Data Engineer will work closely with Badger Athletic Performance Program staff, students, and trainees to ensure successful data collections and productive lines of research. The primary projects the position will have oversight of is maintaining an OpenSim/Matlab pipeline for analyzing gait and jumping data; maintaining Matlab processing code for analyzing muscle EMG and torque-time signals; and maintaining and developing Matlab GUIs for real-time data analysis and biofeedback. This position will also assist with protocol development for testing new equipment, data collections for specific research projects of interest, and preparing data, tables, figures, etc for research publications and presentations.

An ideal candidate will have a strong background working with OpenSim and Matlab, with particular experience developing biofeedback systems and musculoskeletal models and/or simulations. Prior experience with human subjects research or data collection in a clinical setting and collecting and analyzing optical motion capture data is also preferred.

This position is based on-campus at UW-Madison and typically adheres to a Monday-Friday work schedule, though schedule flexibility within the typical work week is necessary for some data collections (e.g. outside of 8am-5pm).

Badger Athletic Performance embraces both independent and collaborative work-styles. Our general approach is to empower individuals to work independently following thorough and hands-on training and on-boarding, while also having regular meetings with collaborators and support staff within the department to foster a strong team environment.

Responsibilities:

Contributes to a research agenda set by a lead researcher by creating automated processes for preparing and analyzing data at scale. - 10% Prepares data sets for current and future analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources and may use technologies that support data at scale - 30% Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale - 40% Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically - 10% Selects appropriate technologies and optimizes pipelines for performance - 10% Develops, constructs, tests, and maintains architectures for large-scale data management and analysis

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Job Summary:

The Badger Athletic Performance Program (https://bap.ortho.wisc.edu) is hiring a Data Engineer to support our ongoing data analysis procedures and overall research goals. This position will be responsible for overseeing all data processing pipelines for data collected through routine student-athlete testing, research projects, and other projects resulting from internal and external collaborations. The Data Engineer will work closely with Badger Athletic Performance Program staff, students, and trainees to ensure successful data collections and productive lines of research. The primary projects the position will have oversight of is maintaining an OpenSim/Matlab pipeline for analyzing gait and jumping data; maintaining Matlab processing code for analyzing muscle EMG and torque-time signals; and maintaining and developing Matlab GUIs for real-time data analysis and biofeedback. This position will also assist with protocol development for testing new equipment, data collections for specific research projects of interest, and preparing data, tables, figures, etc for research publications and presentations.

An ideal candidate will have a strong background working with OpenSim and Matlab, with particular experience developing biofeedback systems and musculoskeletal models and/or simulations. Prior experience with human subjects research or data collection in a clinical setting and collecting and analyzing optical motion capture data is also preferred.

This position is based on-campus at UW-Madison and typically adheres to a Monday-Friday work schedule, though schedule flexibility within the typical work week is necessary for some data collections (e.g. outside of 8am-5pm).

Apply Now

Badger Athletic Performance embraces both independent and collaborative work-styles. Our general approach is to empower individuals to work independently following thorough and hands-on training and on-boarding, while also having regular meetings with collaborators and support staff within the department to foster a strong team environment.

Responsibilities:

Contributes to a research agenda set by a lead researcher by creating automated processes for preparing and analyzing data at scale. - 10% Prepares data sets for current and future analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources and may use technologies that support data at scale - 30% Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale - 40% Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically - 10% Selects appropriate technologies and optimizes pipelines for performance - 10% Develops, constructs, tests, and maintains architectures for large-scale data management and analysis

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

Qualifications:

Highly preferred competencies:
- Experience with human subjects research
- Experience writing and maintaining Matlab code, specifically for analyzing clinical research data and creating GUIs
- Experience creating and maintaining OpenSim data processing pipelines
- Experience collecting and analyzing data from inertial measurement units (IMUs)

Preferred competencies:
- Experience developing testing protocols for new devices
- Experience working with optical Motion Capture software and hardware
- Familiarity with Illustrator, CAD, and/or other design software

Work Type:

Full or Part Time: 50% - 100%

It is anticipated this position requires work be performed in-person, onsite, at a designated campus work location.

Appointment Type, Duration:

Ongoing/Renewable

Salary:

Minimum $60,000 ANNUAL (12 months)
Depending on Qualifications
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at (https://hr.wisc.edu/benefits/).

SMPH Academic Staff Benefits flyer: (https://uwmadison.box.com/s/r50myohfv...)

Additional Information:

The selected applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. University sponsorship is not available for this position.

Effective January 1, 2020, the U.S. Department of Labor Fair Labor Standards Act (FLSA) will be updated to require that positions earning less than $35,568 annually be considered non-exempt under FLSA provisions for overtime (see https://www.dol.gov/whd/overtime2019/). Based on these rules, if the person selected for this recruitment will earn less than the new salary threshold at January 1, 2020 ($35,568 annually), they will be an academic staff non-exempt employee, will be paid hourly, and will receive overtime compensation for any hours worked over 40 in a workweek.

How to Apply:

To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience. You will also be asked to provide contact information for three (3) references, including your current/most recent supervisor during the application process. References will not be contacted without prior notice.

Contact:

Rachel Timbers
timbers@wisc.edu
608-263-7659
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

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Official Title:

Data Engineer I(RE064)

Department(s):

A53-MEDICAL SCHOOL/ORTHO&REHAB/ORTHO

Employment Class:

Academic Staff-Renewable

Job Number:

290981-AS

 

The University of Wisconsin-Madison is an Equal Opportunity and Affirmative Action Employer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence through diversity and encourage all qualified individuals to apply.

If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website: https://employeedisabilities.wisc.edu...

Employment will require a criminal background check. It will also require you and your references to answer questions regarding sexual violence and sexual harassment.

The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).

The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

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