Aria Gheibihayat

Advanced / Senior Level

Computational Biologist

Role interests:

AI & Machine Learning Engineers
data science & analytics
NLP & Prompt Engineering

Skills:

python
tensorflow
pytorch
scikit-learn
keras
computer vision
sql
pandas
r

Regional interests:

Remote/Anywhere
asia & pacific
Middle East
europe

Country interests:

australia
United Arab Emirates
united kingdom

Bio

I’m a Computational Biology and Machine Learning researcher at the Westmead Institute for Medical Research (WIMR), University of Sydney. I develop end-to-end AI systems for biomedical datasets, including multi-omics and medical imaging (DICOM and CEUS). My core focus is building reproducible, reliable models that integrate clinical, imaging, and molecular data for diagnostic decision support and treatment planning.

I work closely with cross-functional research and clinical teams to translate data into actionable insights, optimize workflows, and improve model performance in real-world settings. I have extensive experience with Python, TensorFlow, PyTorch, scikit-learn, SQL, and cloud-based research environments.

I currently hold Global Talent Residency visas for both Australia and the United Kingdom, allowing full relocation and work rights for industry roles.

Job Types:

Full Time
Contract