Bioinformatics/AI Scientist

Medasource; South San Francisco (CA); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative company is seeking a motivated individual to join their team as a Computational Biology Associate. This exciting role involves benchmarking machine learning models using large-scale preclinical and clinical datasets. You will write scalable Python code, produce performance reports, and suggest improvements for predictive models. The ideal candidate will have a PhD in a relevant field and extensive experience in data analysis and machine learning. This position offers the opportunity to contribute to cutting-edge research in pharmaceutical applications of AI, all while working remotely and collaborating with a talented team.

Qualifications

• 6+ years experience in large-scale bulk data analysis (RNA, WES).
• Expertise in cancer biology or clinical omics data.

Responsibilities

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

Skills

Python

Machine Learning

Data Analysis

Shell Scripting

Git

High-performance computing

Communication Skills

Education

PhD in Computer Science

PhD in Computational Biology

PhD in Bioinformatics

Job description

Location: 100% Remote, but must be able to work PST

Responsibilities

1. 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.
2. Write scalable Python code to benchmark the performance of state-of-the-art ML models on predefined preclinical and clinical tasks.
3. Produce reports on the performance of different ML methods and present results.
4. Suggest new directions for benchmarking and improvement of predictive models.
5. Document code, analysis, and findings, including standardization of analytical workflows.

Requirements

1. PhD in Computer Science, Computational Biology, Bioinformatics, or a related field.
2. Extensive experience (6+ years) in large-scale bulk data analysis (RNA, WES), including gold-standard methods and novel, advanced analytical techniques.
3. Experience (3+ years) in training and applying modern ML architectures and models to omics data.
4. Expertise in cancer biology or clinical omics data.
5. Proficiency in Python and shell scripting.
6. Experience working with Git and high-performance computing.
7. High self-motivation and commitment to delivering high-quality results.
8. Ability to produce rigorous analysis with minimal supervision, including meeting key deadlines and making sensible independent decisions.
9. Excellent communication skills and experience working as part of a team.
10. Curiosity and desire to learn more about applications of AI methods to pharmaceutical research.

Seniority level

• Associate

Employment type

• Contract

Job function

• Information Technology, Science, and Research