Itlearn360
Bioinformatics/AI Scientist - Oncology at Planet Group San Francisco, CA
Itlearn360, San Francisco, California, United States, 94199
Bioinformatics/AI Scientist - Oncology at Planet Group in San Francisco, CA.
The Oncology and BRAID teams within the Computational Biology and Translation Pillar of Computational Sciences (CS) are seeking a talented and highly motivated Computational Scientist with a strong background in Bioinformatics and ML/AI. The successful candidate will have proven expertise in multi-omics analysis and applying deep learning and transformer models to biomedical and clinical data.
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. Develop scalable Python code to evaluate the performance of state-of-the-art ML models on predefined preclinical and clinical tasks. Produce reports on ML method performances and present results. Suggest new directions for benchmarking and model improvements. Document code, analyses, and findings, including standardizing analytical workflows. Requirements
PhD in Computer Science, Computational Biology, Bioinformatics, or related field. At least 6 years of experience in large-scale bulk data analysis (RNA, WES), including standard and advanced analytical techniques. Over 3 years of experience applying modern ML architectures to omics data. Expertise in cancer biology or clinical omics data. Proficiency in Python and shell scripting. Experience with Git and high-performance computing environments. High self-motivation and dedication to delivering high-quality results. Ability to conduct rigorous analysis independently and meet deadlines. Excellent communication skills and teamwork experience. Curiosity and eagerness to learn about AI applications in pharmaceutical research. Pay Rate Range: $40-53/hr, depending on experience.
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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. Develop scalable Python code to evaluate the performance of state-of-the-art ML models on predefined preclinical and clinical tasks. Produce reports on ML method performances and present results. Suggest new directions for benchmarking and model improvements. Document code, analyses, and findings, including standardizing analytical workflows. Requirements
PhD in Computer Science, Computational Biology, Bioinformatics, or related field. At least 6 years of experience in large-scale bulk data analysis (RNA, WES), including standard and advanced analytical techniques. Over 3 years of experience applying modern ML architectures to omics data. Expertise in cancer biology or clinical omics data. Proficiency in Python and shell scripting. Experience with Git and high-performance computing environments. High self-motivation and dedication to delivering high-quality results. Ability to conduct rigorous analysis independently and meet deadlines. Excellent communication skills and teamwork experience. Curiosity and eagerness to learn about AI applications in pharmaceutical research. Pay Rate Range: $40-53/hr, depending on experience.
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