What are the responsibilities and job description for the Computational Research Scientist, Deep Learning position at THOR Companies?
Computational Research Scientist, Deep Learning
Responsibilities :
Develop and implement deep learning models to predict and optimize enzymes and metabolic pathways in microbial systems.
Conduct simulations and modeling of metabolic networks to identify key regulatory nodes and potential engineering targets.
Perform protein variant designs with established protocols to support in-house projects.
Collaborate with experimental biologists to design and interpret experiments that validate computational predictions.
Communicate results and insights to multidisciplinary teams, including presentations and written reports.
Required qualifications :
Ph.D. in Bioengineering, Biochemistry, Biostatistics, Chemical Engineering, Computer Science, or similar discipline, with a strong focus on deep learning and / or cell engineering
Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
Proficiency in programming languages such as Python, R, or MATLAB
Excellent communication skills, both written and verbal
Preferred qualifications :
Familiarity with metabolic engineering and synthetic biology principles
Knowledge of metabolic flux analysis and constraint-based modeling (e.g., FBA, COBRA toolbox)
Knowledge of protein structural modeling and prediction
Experience in industrial biotechnology or a related industry
Preferred Working Style :
Must be very well-organized and be able to handle multiple projects simultaneously.
Must be a quick learner who is self-motivated and able to ask questions and seek clarity.
Must be flexible with day-to-day duties and able to thrive in a start-up environment.
Must be an excellent team member with strong communication skills and a desire to work collaboratively.
Must hold themselves to the highest professional, scientific and ethical standards.
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