Bioinformatics/AI Scientist – Oncology

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

Job summary

Join a forward-thinking biotech firm as a Bioinformatics/AI Scientist specializing in Oncology. This role involves leveraging your expertise in computational biology to benchmark and improve machine learning models using extensive preclinical and clinical datasets. You'll collaborate with a talented team to produce insightful analyses and reports, driving innovation in AI applications for pharmaceutical research. With excellent growth opportunities and a commitment to employee well-being, this position offers a chance to make a significant impact in the field of oncology research.

Benefits

Health Benefits

Referral Program

Growth Opportunities

Qualifications

• 6+ years in large-scale bulk data analysis (RNA, WES).
• Experience in training modern ML architectures for omics data.

Responsibilities

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

Skills

Python

Machine Learning

Data Analysis

Communication Skills

Shell Scripting

Education

PhD in Computer Science

PhD in Computational Biology

PhD in Bioinformatics

Tools

Git

High-Performance Computing

Job description

Our Client, a Biotech company, is looking for a Bioinformatics/AI Scientist – Oncology for their South San Francisco, CA/Remote location.

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.

Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.