Responsibilities
- Collaborate with research staff to design, build, and deploy machine learning models.
- Develop systems for cleaning, processing, analyzing, and visualizing diverse datasets, including GPS, accelerometer, and digital phenotyping data.
- Assist in running experiments to assess model accuracy, conduct error analysis, and implement performance enhancements.
- Lead high-level data interpretation and oversee analytical tasks performed by lab personnel.
- Combine data from multiple sources such as behavioral, clinical, and digital phenotyping workflows.
- Contribute to building a secure, scalable dashboard or lightweight clinical application that integrates and displays real-time data visualizations.
- Implement reusable, modular visualization components and manage version-controlled codebases.
- Coordinate with university and hospital IT teams to ensure system interoperability, reliability, and clinical applicability.
- Support the creation of grant proposals, academic presentations, and research publications.
Benefits
- Generous paid time off with inclusive parental leave policies
- Comprehensive medical, dental, and vision insurance effective from the first day of employment
- Retirement savings plans featuring employer contributions
- Resources dedicated to employee wellbeing and mental health support
- Programs supporting families and caregivers
- Opportunities for professional growth, including tuition assistance and reimbursement
- Commuter benefits, institutional discounts, and access to campus amenities
Work Arrangement
Hybrid
EEO/Non-Discrimination Commitment Statement
- The institution upholds a policy of equal opportunity and does not discriminate in employment or educational opportunities.
- It actively recruits individuals from diverse backgrounds and global communities, fostering an inclusive environment where all can succeed.
- Variety in perspectives supports the advancement of academic goals and institutional mission.
- Employment decisions are made without regard to race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or other legally protected characteristics.
- The non-discrimination policy ensures all members can fully engage in work and campus life without fear of harassment or exclusion.
Other
- Occasional work outside standard business hours may be required, including availability during off-hours.
- Standard workweek consists of 35 hours.
- Visa sponsorship is not offered for this role.
- Pre-employment checks include identity confirmation and criminal history review.
- This is a one-year term appointment, subject to renewal based on funding availability.
- All official job offers will be issued through FAS Human Resources.
- Work location may be restricted by visa type or funding source.
- Candidates must satisfy work location eligibility requirements before employment begins.
Visa sponsorship is not available for this position.
