Job Description

BEPC is looking for a Bioinformatics/AI Scientist: Oncology in South San Francisco, CA to join our fast-growing team of consultants!

W2 Contract: 7 months with opportunities for extensions based on business needs and performance.

Pay Range: $48.17-52.17/hr. plus we offer Medical, Dental, Vision and Life Insurance benefits!

Schedule: This position can be on-site in South San Francisco, CA, or remote (US only) during normal Pacific time zone business hours.

Summary:

The Oncology and BRAID teams in the Computational Biology and Translation department 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.

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.

USOPS

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