Computational Research Scientist Deep Learning
Computational Research Scientist Deep Learning
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1 Vacancy
Job Description
Job Description
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 inhouse 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 constraintbased 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 wellorganized and be able to handle multiple projects simultaneously.
- Must be a quick learner who is selfmotivated and able to ask questions and seek clarity.
- Must be flexible with daytoday duties and able to thrive in a startup 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.
Employment Type
Full-Time
