Job Description
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
Job Tags
Remote job, Contract work,