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Causality Biomodels
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Causality Biomodels logo

Causality Biomodels

causalitybiomodels.com
Founded :
2018
Type :
Products & Services
Size :
0-20
Stage :
Profitable

About

Causality Biomodels is a biocuration and knowledge extraction company specializing in creating valuable knowledge models in life sciences by capturing causal relationships among biological events.
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Profile picture
Alpha TomKodamullil
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Tushar Karayil

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Jobs at Causality Biomodels

Causality Biomodels
at Causality Biomodels
2 recruiters
Alpha TomKodamullil
Posted by Alpha TomKodamullil
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote, Kochi (Cochin)
2 - 7 yrs
₹7L - ₹9L / yr
skill iconPython
skill iconReact.js
skill iconGit
skill iconJavascript
skill iconAmazon Web Services (AWS)
+1 more

Causality Biomodels is an Indo-German life science informatics company that focuses on the development of data-based solutions in the bioinformatics sector. Specifically, we work using semantic integration & information extraction methods, knowledge & data organization, and advanced statistical & machine learning techniques in the context of life sciences.

 

The team Causality Biomodels is searching for a full stack developer with a strong focus on Python, capable of taking on a lead developer role.

 

You will be mainly focusing on the following areas:

  • Implementing new features by modifying our backend system and UI according to the product backlog and discussions with the team.
  • Rapid prototyping to explore new directions based on current research developments.
  • Design, development and maintenance of APIs, as well as product and add-on components.
  • Maintenance of code integrity and organization.

The requirements are:

  • Successfully completed bachelor’s or master’s degree in computer science or in related fields such as Bioinformatics.
  • At least 2 years of professional software engineering experience.
  • High proficiency in Python and ability to write clean and well-documented code (must).
  • Experience with cloud-based development using AWS (preferred), GCP or Azure.
  • Experience with Docker and container-based deployment.
  • Proficiency in JavaScript.
  • Experience with at least one database system (SQL or no-SQL).
  • High familiarity with Git.
  • Experience with agile development practices.
  • Experience with CI/CD and automated testing.
  • Very strong English skills (both verbal and written).

Bonus points for:

  • Knowledge about machine learning or data science.
  • Experience with Python packages SpaCy, scikit-learn, flask and fastapi.
  • Experience with JavaScript libraries React and Redux/Context.
  • Experience with Gitlab CI/CD pipelines.
  • Experience working with knowledge graph data.
  • Knowledge and experience in bioinformatics methods.
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