
Computational Research Scientist
7 days ago
**Position Overview**:
**Key Responsibilities**:
- Design, develop, and deploy deep learning models for predicting and optimizing enzymes, proteins, and metabolic pathways in microbial and cellular systems.
- Conduct computational modeling and simulations of metabolic networks to identify critical control points and engineering targets.
- Build robust data pipelines to integrate diverse biological datasets and enable scalable model training and evaluation.
- Present technical findings clearly to interdisciplinary teams through reports, presentations, and collaborative discussions.
- Stay current with advances in AI, synthetic biology, and computational methods to drive innovation at ThinkBio.Ai.
**Required Qualifications**:
- Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Proficiency in programming languages including Python (preferred), R, or MATLAB.
- Strong written and verbal communication skills.
- Proven ability to work independently and collaboratively in a dynamic research environment.
**Preferred Qualifications**:
- Knowledge of metabolic engineering, synthetic biology, or systems biology concepts.
- Familiarity with metabolic flux analysis and constraint-based modeling techniques (e.g., Flux Balance Analysis, COBRA Toolbox).
- Experience with protein structure prediction and modeling.
- Background in industrial biotechnology or experience working in start-up environments.
**Desired Working Style**:
- Exceptionally organized with the ability to manage multiple projects and priorities simultaneously.
- Quick learner with a proactive, inquisitive mindset.
- Adaptable and comfortable with evolving roles and responsibilities typical in start-ups.
- Strong collaborator with excellent interpersonal and communication skills.
- Commitment to high standards of scientific integrity and professional ethics.
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