Senior DSP Engineer at Nokia developing advanced algorithms for fiber optic systems exceeding 800 Gbps. Collaborating with ASIC teams to implement DSP algorithms in high - performance optical networking products.
About the role
- Lab Software Developer at Borealis Biosciences customizing the Electronic Lab Notebook system. Responsible for developing Python-based applications and optimizing laboratory workflows.
Responsibilities
- Customize and configure Benchling ELN system to optimize workflows for laboratory scientists and support evolving research needs
- Design, develop, and deploy custom Python-based applications including web applications, data ingestion pipelines, and other applications for functions not natively supported by the ELN
- Build and maintain integrations between Benchling and other internal custom-built applications to create a cohesive laboratory technology ecosystem
- Deploy and manage custom tools and applications in our AWS cloud environment, ensuring reliability, security, and scalability
- Collaborate closely with laboratory scientists and research teams to understand workflow requirements and translate them into effective technical solutions
- Provide technical support and training to laboratory users on ELN functionality and custom applications
- Document system configurations, custom applications, and integration workflows
- Stay current with Benchling platform updates and new features, evaluating and implementing relevant enhancements
- Participate in agile development practices and contribute to continuous improvement of laboratory systems
Requirements
- Bachelor’s degree in computer science, biological sciences, or related field
- Minimum 2 years of professional software development experience
- Strong proficiency in Python programming and application development
- Experience with laboratory automation systems and scientific software platforms
- Experience with cloud-based infrastructure, particularly AWS (EC2, S3, Lambda, RDS, etc.)
- Understanding of laboratory workflows and scientific research environments
- Strong problem-solving skills and ability to translate scientific requirements into technical solutions
- Excellent communication skills with ability to work effectively with both technical and scientific teams
- Self-motivated with ability to work independently and manage multiple priorities
Benefits
- Health insurance
- Flexible work arrangements
- Professional development
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