Overview
A growing biotechnology company is seeking a Computational Research Scientist to join its R&D team. This role focuses on applying advanced computational and machine learning approaches to support innovative research in areas such as enzyme design, protein engineering, and biological process optimization. The ideal candidate will collaborate closely with experimental scientists to develop predictive models, analyze complex datasets, and guide research strategies that advance next-generation biotechnologies.

Key Responsibilities

Develop and apply computational and AI-driven models to address biological and biochemical challenges
Analyze and interpret complex datasets to generate actionable insights
Collaborate with cross-functional research teams to validate and refine computational predictions
Contribute to the development of computational tools and workflows that enhance research efficiency
Communicate results and insights effectively to both technical and non-technical stakeholders

Required Qualifications

Ph.D. required in a relevant field (e.g., Bioengineering, Computational Biology, Chemical Engineering, Computer Science, or related discipline)
Experience with machine learning or deep learning techniques
Must have fundamental training in enzyme engineering
Strong programming skills (e.g., Python, R, or similar languages)
Proven ability to integrate computational methods with experimental research
Excellent written and verbal communication skills

Preferred Qualifications

Hands On experience with protein modeling, enzyme design, or structural biology
Familiarity with modern AI frameworks (e.g., TensorFlow, PyTorch)
Background in industrial biotechnology or related applied research

Why Join

This position offers the opportunity to contribute to cutting-edge, cross-disciplinary research in a collaborative, fast-paced environment. You'll be part of a mission-driven team working to push the boundaries of biotechnology innovation.

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