Bioinformatics/AI Scientist

Remote Full-time
Bioinformatics/AI Scientist Position Overview We are seeking a talented Bioinformatics/AI Scientist to join our dynamic computational biology team. This is a 1-year contract position with potential for extension, offering the opportunity to work on state-of-the-art machine learning applications in cancer research. The successful candidate will play a key role in benchmarking and optimizing AI/ML models using comprehensive preclinical and clinical datasets. • Contract Duration: 1 year with possibility for extension • Work Arrangement: Remote-friendly position with preference for Pacific Time Zone candidates. On-site option available in South San Francisco, CA • Schedule: Monday-Friday, Pacific Standard Time hours • Compensation: $37-50/hour (DOE) Key Responsibilities • Develop and implement scalable Python code to benchmark performance of cutting-edge ML models on defined preclinical and clinical research tasks. • Generate comprehensive reports analyzing the performance of various ML methodologies and present findings to cross-functional teams. • Propose innovative approaches for benchmarking and enhancing predictive model capabilities. • Create detailed documentation of code, analytical processes, and research findings, including standardization of computational workflows. • Collaborate with multidisciplinary teams to translate computational insights into actionable research directions. Required Qualifications • PhD in Computer Science, Computational Biology, Bioinformatics, or related quantitative field. • 6+ years of hands-on experience with large-scale bulk data analysis (RNA-seq, WES). • Demonstrated expertise working with multiomics datasets and high-dimensional biological data. • Proven experience with state-of-the-art machine learning models and frameworks. • Hands-on experience training and applying PyTorch-based transformer architectures. • Strong background in cancer biology and/or clinical omics data analysis. • Proficiency in Python programming, cloud-based engineering pipelines, shell scripting, Git version control, and high-performance computing environments. This job description is a complete list of all desired skills, but not all are required. We strongly encourage candidates who have some of the skills to apply. We look forward to a conversation to learn more about you! #INDBH #LI-DNP Apply tot his job
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