Senior Data Scientist refactoring Python optimization algorithms and developing pricing models. Solving supply - chain challenges for Tiger Analytics’ retail and CPG analytics clients.
EU
Computational Biology Research Assistant
Posted 7 months ago
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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