Research Engineering​/Scientist Assistant - Deep Learning Structural Biology

Position: Research Engineering/ Scientist Assistant - Deep Learning for Structural Biology
Job Posting

Title:

Research Engineering/ Scientist Assistant - Deep Learning for Structural Biology Hiring Department:
Oden Institute Position Open To:
All Applicants Weekly Scheduled

Hours:

20 FLSA Status:
To Be Determined at Offer Earliest

Start Date:

Ongoing Position Duration:
Limited Duration Based on Business Need

Location:

UT MAIN CAMPUS Job Details:

General Notes

The Oden Institute is an organized research unit that fosters interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, artificial intelligence, software engineering, and computational visualization.

The University of Texas at Austin is a nationally ranked, tier-one research institution and one of the largest employers in central Texas. UT is located in the heart of Austin, a vibrant city that frequently appears on lists of best cities to live and work. Committed to recruiting and retaining a varied and talented workforce, the university offers competitive salaries and benefits, an extensive support network, and above all, an enriching and highly collaborative community that is deeply passionate about our vision for higher education and public service.

UT Austin offers a competitive benefits package that includes:

• 100% employer-paid basic medical coverage
• Retirement contributions
• Paid vacation and sick time
• Paid holidays

NOTE:

This position is initially appointed for a six-month term. Continuation beyond the initial six-month assignment is contingent upon funding availability and satisfactory performance.

Purpose

We are inviting highly qualified individual to join our research group at the Oden Institute, University of Texas s is a competitive opportunity for individuals with proven deep learning expertise and a strong interest in pioneering applications in computational biology.

Responsibilities

The selected candidate will be involved in the development, implementation, and evaluation of deep learning methods for structural biology and molecular modeling. Depending on experience and project needs, responsibilities may include:

Research

• Developing and applying deep learning models for predicting protein structures and molecular interactions
• Exploring model architectures and training approaches, including geometric deep learning, diffusion models, and graph neural networks
• Preparing and processing biological and structural datasets for model training and evaluation
• Implementing and maintaining research code and computational workflows
• Training, fine-tuning, and evaluating models using GPU and high-performance computing resources
• Designing computational experiments to assess model accuracy, efficiency, and generalization
• Comparing model performance with existing methods using appropriate benchmarks and evaluation metrics
• Investigating model limitations and exploring ways to incorporate physical and biological information
• Reviewing relevant scientific literature and adapting promising methods to ongoing research

Research documentation and communication

• Documenting methods and experiments to support reproducibility

Research coordination and collaboration

• Preparing figures, reports, presentations, and contributions to scientific publications
• Collaborating with researchers in computational biology, biochemistry, and biophysics to guide model development and interpret results

Required Qualifications

• Bachelor's Degree in a relevant or related field
• Strong experience in deep learning, especially in:
  Geometric Deep Learning
• Diffusion Models, and Related areas such as graph neural networks, equivariant architectures, and generative modeling
• Proficient programming skills and familiarity with modern machine learning frameworks

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

• Interest or background in biological or structural applications

Salary Range

$3,000 monthly (50% Full Time Equivalent)

Working Conditions

• May work around standard office conditions
• Repetitive use of a keyboard at a workstation
• Use of manual dexterity

Required Materials

• Resume/CV
• 3 work references with their contact information; at least one reference should be from a supervisor
• A brief description of your research interests and relevant experience, and any examples of previous computational or structural biology work.

Employment Eligibility

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for…