Astrix
Overview
Our client leverages machine learning to accelerate drug development and transform clinical trial design. Their cutting-edge research spans multimodal generative modeling, representation learning, and reinforcement learning—applied to extract meaningful insights from complex imaging and omics datasets.
Title Bioinformatics / AI Scientist – Oncology
Job Type 12-months (Likely to extend or be brought on perm)
Location Remote (Must be available during PST)
Pay $40-50 / hr + Depending on experience
About the Role Our client is seeking a talented and highly motivated Computational Scientist (Contract) with a strong analytical background in Bioinformatics and ML / AI to join their Oncology team.
Responsibilities
Work under the supervision of group leaders in Computational Biology and Translation to benchmark ML / AI models integrating large-scale multiomics preclinical and clinical datasets.
Write scalable Python code to benchmark the performance of state-of-the-art ML models on predefined preclinical and clinical tasks.
Requirements
PhD in Computer Science, Computational Biology, Bioinformatics, or a related field.
Extensive experience (6+ years) in large-scale bulk data analysis (RNA, WES), including gold-standard methods and novel, advanced analytical techniques.
Experience (3+ years) in training and applying modern ML architectures and models to omics data.
Expertise in cancer biology or clinical omics data.
Experience working with Git and high-performance computing.
Must be authorized to work in the U.S.
#J-18808-Ljbffr
Title Bioinformatics / AI Scientist – Oncology
Job Type 12-months (Likely to extend or be brought on perm)
Location Remote (Must be available during PST)
Pay $40-50 / hr + Depending on experience
About the Role Our client is seeking a talented and highly motivated Computational Scientist (Contract) with a strong analytical background in Bioinformatics and ML / AI to join their Oncology team.
Responsibilities
Work under the supervision of group leaders in Computational Biology and Translation to benchmark ML / AI models integrating large-scale multiomics preclinical and clinical datasets.
Write scalable Python code to benchmark the performance of state-of-the-art ML models on predefined preclinical and clinical tasks.
Requirements
PhD in Computer Science, Computational Biology, Bioinformatics, or a related field.
Extensive experience (6+ years) in large-scale bulk data analysis (RNA, WES), including gold-standard methods and novel, advanced analytical techniques.
Experience (3+ years) in training and applying modern ML architectures and models to omics data.
Expertise in cancer biology or clinical omics data.
Experience working with Git and high-performance computing.
Must be authorized to work in the U.S.
#J-18808-Ljbffr