Computational Research Scientist – Deep Learning

4 days ago


Infopark Kochi, India Feathersoft Full time ₹ 15,00,000 - ₹ 20,00,000 per year
Position Overview

We are seeking a passionate and highly skilled Computational Research Scientist specializing in deep learning to join our R&D team. This role will focus on developing and applying advanced AI and machine learning methods to solve biological problems, with an emphasis on enzyme optimization, metabolic engineering, and bio-process innovation. The successful candidate will collaborate closely with biologists, engineers, and data scientists to accelerate the design and production of sustainable bio-alternatives.

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
  • Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on deep learning applications.

  • 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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