Research Assistant performing clinically relevant procedures for study subjects in Chula Vista, CA. Engaging in data recording, patient management, and compliance with clinical protocols.
EU
Hybrid Computational Biology Research Assistant
Posted yesterday
About the role
- Computational Biology Research Assistant at QGEM developing computational models and pipelines. Responsibilities include analyzing wet lab data and collaborating with interdisciplinary teams.
Responsibilities
- Design and execute computational models, including sequence analysis, protein modeling, and structural prediction.
- Develop computational pipelines using Python, R, AlphaFold, machine learning, and bioinformatics tools.
- Analyze wet lab data to generate predictive models that inform experimental design and project direction.
- Create compelling visualizations, figures, and simulations for technical summaries and presentations.
- Document modeling approaches, code, scripts, and datasets to ensure reproducibility.
- Collaborate directly with the wet lab, human practices, and website teams to integrate and communicate computational findings.
Requirements
- Experience in Python, R, MATLAB, or similar programming languages is a strong asset.
- Familiarity with bioinformatics tools, sequence databases, protein modeling algorithms, or structural prediction software is a strong asset.
- Analytical skills with the ability to translate biological questions into computational workflows.
- Good organization and documentation skills to ensure reproducible results.
- Team-oriented and comfortable collaborating in interdisciplinary environments.
- Interest in computational biology, synthetic biology, systems biology, molecular modeling, or algorithmic design.
Benefits
- Flexibility for hybrid work
- Opportunity to develop skills in computational modeling, bioinformatics, and data analysis
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