Bioinformatics/AI Scientist - Oncology

Planet Group
California


Bioinformatics/AI Scientist - Oncology

The Oncology and BRAID teams in the Computational Biology and Translation Pillar of Computational Sciences (CS) are seeking a talented and highly motivated Computational Scientist with a strong analytical background in Bioinformatics and ML/AI. The successful candidate will have a proven track record in multi-omics analysis and the application of deep learning and transformer models to biomedical and clinical data.

Position Details

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.
  • Produce reports on the performance of different ML methods and present results. * Suggest new directions for benchmarking and improvement to predictive models. * Document code, analysis, and findings, including standardization of analytical workflows.
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.
  • Proficiency in Python, shell scripting.
  • Experience working with Git and high-performance computing.
  • High self-motivation and commitment to delivering high-quality results.
  • Ability to produce rigorous analysis with minimal supervision, including meeting key deadlines and making sensible independent decisions.
  • Excellent communication skills and experience working as part of a team.
  • Curiosity and desire to learn more about applications of AI methods to pharmaceutical research.

Pay Rate Range: $40-53/hr depending on experience
Posted 2025-07-31

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