У роли понятный фокус на автоматизации и современный стек Python, Airflow и Docker в развивающейся сфере разработки лекарств, но формат аутсорсинга может ограничивать влияние на долгосрочное развитие продукта.
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Современный стек
На стыке науки и ИИ
Понятные задачи
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Текст:
Hirify AI/Оригинал
TL;DR
Automation Engineer (Cheminformatics) (Python/Apache Airflow): Designing and maintaining automated scientific workflows for drug design and discovery with an accent on reliable orchestration, reproducible execution environments, and integration of scientific tools and data sources. Focus on optimizing workflow scalability, troubleshooting execution failures, and supporting AI and scientific teams in building automated drug discovery solutions.
Location: Remote, Tbilisi
Company
Software Country provides custom software development services for complex high-load applications, AI and BI solutions, and mobile apps, drawing on 30 years of expertise.
What you will do
Design and develop automated scientific and computational workflows with Apache Airflow and Python.
Build and maintain Docker-based execution environments for consistent, reproducible and scalable workflows.
Integrate scientific tools, data sources and external services through APIs and data pipelines.
Monitor workflow execution, troubleshoot failures and optimize reliability and scalability.
Collaborate with engineers, data scientists and scientific researchers on automated drug discovery solutions.
Requirements
More than 6 years of professional experience.
Strong Python skills and hands-on experience developing automation tools, scripts or backend components.
Practical Apache Airflow experience, including building, scheduling and maintaining workflows or DAGs.
Experience with Docker and containerized application environments.
Understanding of software engineering best practices, including code quality, debugging, version control and maintainable code.
Ability to work with complex technical processes and collaborate effectively with engineers, data scientists and scientific researchers.
English level: B2+.
Nice to have
Experience with other workflow orchestration and automation platforms.
Familiarity with AWS or other cloud environments.
Experience querying and retrieving data from PostgreSQL and/or Snowflake.
Knowledge of API design and integration.
Experience with Kubernetes and container orchestration.
Familiarity with GitOps and infrastructure or deployment automation.
Experience developing or integrating AI-powered applications.
Academic or professional background in life sciences, chemistry, computational biology, bioinformatics or drug discovery.
Culture & Benefits
Remote work with a flexible work schedule.
Choice of collaboration through a B2B contract with payments in USD or EUR, depending on preference, or through a labor contract.
Opportunities for professional growth.
Company laptop provided.
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