Full Stack Developer

at Causality Biomodels

Full Stack Developer

Causality Biomodels

Company

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Full Stack Developer

at Causality Biomodels

Posted by Alpha TomKodamullil

2 - 7 yrs

₹7L - ₹9L / yr

Remote, Kochi (Cochin)

Skills

Python

React.js

Git

Javascript

Amazon Web Services (AWS)

Machine Learning (ML)

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.

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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About Causality Biomodels

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.

Alpha TomKodamullil

Connect

Tushar Karayil

Connect

Company social profiles

N/A

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