Senior Software Engineer – Python, Scientific Platform

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design and create software solutions that facilitate scientific research and drug discovery.

• Develop cloud-native applications, engineering tools, and backend services utilizing Python.

• Create scalable microservices and APIs for processing, analyzing, and visualizing scientific data.

• Engage in architectural decisions and participate in technical design discussions.

• Develop and sustain analytical workflows that handle large-scale scientific datasets.

• Construct distributed data processing solutions that support bioinformatics and scientific research.

• Contribute to data ingestion, transformation, ETL pipelines, and the management of scientific data.

• Assist in enhancing the performance and scalability of high-throughput analytical workflows.

• Integrate AWS services such as EC2, S3, ECS, Batch, RDS, and KMS into production workflows.

• Develop Infrastructure as Code using Terraform, CloudFormation, or Ansible.

• Build and maintain CI/CD pipelines utilizing Jenkins or similar tools.

• Create containerized applications using Docker and Kubernetes.

• Provide support for Linux-based production environments.

• Construct, maintain, troubleshoot, and optimize Nextflow pipelines that support scientific computing workloads.

• Collaborate with scientists to translate research needs into effective software solutions.

• Enhance workflow reliability, reproducibility, and operational efficiency.

• Lead technical discussions and mentor junior engineers.

• Promote engineering best practices across development and DevOps.

• Collaborate with international distributed teams across engineering and research.

• Balance technical excellence with business priorities and delivery timelines.

⛳️ Requirements

• Over 5 years of professional experience in software development, primarily with Python (preferred).

• Strong comprehension of object-oriented design and software engineering principles.

• Experience in developing backend services and microservice architectures.

• Familiarity with designing RESTful APIs (GraphQL is a plus).

• Practical experience with Nextflow is a significant advantage.

• Proven experience in building, maintaining, debugging, and optimizing production workflows.

• AWS experience, including services such as EC2, S3, ECS, Batch, RDS, IAM, and KMS.

• Proficient in Infrastructure as Code tools: Terraform, CloudFormation, Ansible.

• Experience in CI/CD practices using Jenkins or equivalent tools.

• Strong Linux command-line proficiency.

• Competence in Bash scripting.

• Experience in constructing ETL pipelines.

• Knowledge of relational databases: PostgreSQL (preferred), Oracle, SQL Server, MySQL.

• Background in Bioinformatics, Genomics, or Multi-omics.

• Experience in the Healthcare or Pharmaceutical industry.

• Familiarity with HPC (High Performance Computing).

• Proficient in Docker, Kubernetes, and Helm.

• Experience in Scientific Computing.

• Understanding of FAIR Data principles.

• Experience with Elasticsearch.

• Familiarity with Robot Framework and Selenium.

• Experience with C/C++ libraries on Linux.

• Knowledge of frontend JavaScript frameworks.

🏝️ Benefits

• Work within a globally recognized pharmaceutical leader.

• Directly impact drug discovery and research that affects patient outcomes.

• Be part of a high-caliber engineering team addressing complex real-world challenges.

• Engage at the intersection of cloud, HPC, software engineering, and life sciences.

• Foster innovation using cloud-native technologies, microservices, and large-scale computing.

• Fully remote position available within the EU.

• Flexible B2B freelance contract opportunities.

• Participate in mission-driven work alongside world-class researchers.