Bioinformatics / AI Scientist - Oncology

HonorVet Technologies; South San Francisco (CA); Hybrid; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a talented Bioinformatics/AI Scientist to contribute to groundbreaking research in oncology. This full-time contract role offers the flexibility of on-site or remote work, allowing you to collaborate with leading experts in Computational Biology. You'll leverage your extensive experience in multi-omics analysis and machine learning to benchmark state-of-the-art models, producing rigorous analyses that drive pharmaceutical research forward. If you're passionate about applying AI methods to real-world challenges and thrive in a collaborative environment, this opportunity is perfect for you.

Qualifications

• 6+ years of experience in large-scale bulk data analysis.
• Experience in training modern ML architectures on omics data.
• Strong analytical background in Bioinformatics and ML/AI.

Responsibilities

• Benchmark ML/AI models integrating large-scale multiomics datasets.
• Write scalable Python code for ML model performance benchmarking.
• Document code and analysis, standardizing analytical workflows.

Skills

Machine Learning

Bioinformatics

Python

Data Analysis

Deep Learning

Shell Scripting

Git

Cancer Biology

Education

PhD in Computer Science

PhD in Computational Biology

PhD in Bioinformatics

Tools

High-Performance Computing

Job description

Title : Bioinformatics / AI Scientist Oncology

Duration : 6 months

The Oncology and BRAID teams in the Computational Biology and Translation Pillar of gRED Computational Sciences (gCS) are seeking a talented and highly motivated Computational Scientist (Contract) 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.

This will be a short-term, full-time contract position until December 19, 2025.

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

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 Client, 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