Bioinformatics Scientist
Tap Growth ai
Date: 5 hours ago
City: South San Francisco, CA
Contract type: Full time
We're Hiring: Bioinformatics Scientist!
Join our Computational Biology team to benchmark cutting-edge ML/AI models integrating large-scale multiomics data. Use your expertise in scalable Python coding and advanced analytics to push the boundaries of predictive modeling in preclinical and clinical research.
Location: South San Francisco, United States
Work Mode: Work From Office
Role: Bioinformatics Scientist
What You'll Do
Write scalable Python code to benchmark ML models on preclinical & clinical tasks
Analyze and report performance of state-of-the-art ML methods
Suggest improvements and new directions for predictive modeling
Document code, analysis, and standardize analytical workflows
What We're Looking For
PhD in Computer Science, Computational Biology, Bioinformatics, or related field
6+ years experience in large-scale bulk data analysis (RNA, WES)
3+ years applying modern ML architectures to omics data
Expertise in cancer biology or clinical omics data
Proficient in Python and shell scripting
Experience with Git and high-performance computing environments
Ready to advance scientific discovery? Apply now and let's innovate together!
Join our Computational Biology team to benchmark cutting-edge ML/AI models integrating large-scale multiomics data. Use your expertise in scalable Python coding and advanced analytics to push the boundaries of predictive modeling in preclinical and clinical research.
Location: South San Francisco, United States
Work Mode: Work From Office
Role: Bioinformatics Scientist
What You'll Do
Write scalable Python code to benchmark ML models on preclinical & clinical tasks
Analyze and report performance of state-of-the-art ML methods
Suggest improvements and new directions for predictive modeling
Document code, analysis, and standardize analytical workflows
What We're Looking For
PhD in Computer Science, Computational Biology, Bioinformatics, or related field
6+ years experience in large-scale bulk data analysis (RNA, WES)
3+ years applying modern ML architectures to omics data
Expertise in cancer biology or clinical omics data
Proficient in Python and shell scripting
Experience with Git and high-performance computing environments
Ready to advance scientific discovery? Apply now and let's innovate together!
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