Data Analyst

University Of Wisconsin Madison Madison , WI 53706

Posted 7 days ago

The National Institutes of Health (NIH) is the largest federal funder of biomedical research, yet their data show lower funding success rates for women and racial/ethnic minority grant applicants for certain award types. Gender and race bias may be opperating to disadvantage women and racial/ethnic minorities in NIH's peer review process.This project involves using deep learning algorithms to mine the critiques NIH peer reviews write and video of the discussions they have about grant applications to identify potential gender and race bias in the review process.

Position Duties:

List of Duties

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

Degree and Area of Specialization:

MS or PhD in Computer Science or related field.

Minimum Years and Type of Relevant Work Experience:

Previous quantitative data analysis experience is required.

Knowledge/experience in algorithmic data science with interest in independently learning to apply such knowledge to mine text and video data is required.

Experience using Long- Short -Term Memory (LSTM) Neural Networks is desired.

Department(s):

A177500-SCHOOL OF EDUCATION/WCER

Work Type:

Full or Part Time: 50% - 100%

Appointment Type, Duration:

Ongoing/Renewable

Salary:

Minimum $50,000 ANNUAL (12 months)

Depending on Qualifications

Instructions to Applicants:

To apply for this position, please upload a cover letter addressed to Anna Kaatz, current resume, and the names and contact information of three professional references.


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Data Analyst

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