Bioinformatics / AI Scientist : Oncology

BEPC Inc. - Business Excellence Professional Consulting; South San Francisco (CA); Hybrid; Full time

Job summary

A leading consulting firm in South San Francisco is seeking a Bioinformatics / AI Scientist to join their Oncology team. The role involves benchmarking ML models, analyzing biomedical data, and contributing to innovative research in computational biology. This position offers a flexible work schedule with options for on-site or remote work, and includes competitive pay and benefits.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Qualifications

• 6+ years in large-scale bulk data analysis.
• 3+ years in training modern ML architectures.

Responsibilities

• Benchmark ML/AI models with multiomics datasets.
• Write scalable Python code for model performance.

Skills

Python

Machine Learning

Communication

Education

PhD in Computer Science

PhD in Computational Biology

PhD in Bioinformatics

Tools

Git

High-performance computing

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.

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Scientist • South San Francisco, CA, United States