Scientist III, Software Engineer, Upstream Process Development

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.

Description
Join our team at Thermo Fisher Scientific as a Data Scientist III and contribute to global healthcare and scientific innovation. You'll apply advanced analytics, machine learning, and AI techniques to solve complex business challenges across our enterprise. In our collaborative environment, you'll develop and deploy sophisticated data science solutions that drive operational efficiencies and enhance decision-making capabilities. This role offers the opportunity to work with advanced technologies while contributing to our mission of enabling customers to make the world healthier, cleaner, and safer.

REQUIREMENTS:

Software Development & Deployment (Must)

• Design, develop, deploy, and maintain enterprise-scale Python applications, including Dash-based analytical and operational applications.
• Own application deployment lifecycle from development through production support.
• Develop and maintain APIs, backend services, data integrations, and user-facing dashboards.
• Partner with scientists, engineers, and business stakeholders to translate requirements into scalable software solutions.

DevOps & Cloud Engineering (Must)

• Build, maintain, and optimize CI/CD pipelines for automated testing, deployment, and release management.
• Implement DevOps best practices including infrastructure as code, monitoring, logging, and automated recovery.
• Deploy and manage applications in cloud environments such as AWS, Azure, or GCP.
• Manage containerized applications using Docker and orchestration platforms such as Kubernetes.
• Ensure application reliability, security, scalability, and performance in production environments.

Industrial Connectivity & Data Systems (Preferred)

• Design and implement integrations with manufacturing, laboratory, and process automation systems.
• Develop solutions leveraging OPC UA, OPC DA, MQTT, and other industrial communication protocols.
• Collaborate with automation, manufacturing, and process engineering teams to enable real-time data acquisition and visualization.
• Support Industrial IoT (IIoT) initiatives and data platform integrations.

Education

• Master’s degree in computer science, Software Engineering, Data Science, Engineering, or related technical field with 3+ years of relevant experience; OR
• Bachelor's degree with 5+ years of relevant experience.
• PhD in Computer Science, Engineering, or related field preferred.

Required Experience & Qualifications

• 3+ years of experience developing and deploying production software applications.
• Strong proficiency in Python and modern software development practices.
• Hands-on experience developing and deploying Python Dash, Flask, or similar web applications.
• Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, GitLab CI, or Jenkins.
• Experience deploying and supporting applications in cloud environments (AWS, Azure, or GCP).
• Experience with Docker containers and Kubernetes orchestration.
• Strong knowledge of software release management, DevOps practices, monitoring, and automation.
• Experience with Microsoft SQL Server, database design, query optimization, and performance tuning.
• Familiarity with Linux/Unix administration and scripting.
• Experience integrating with OPC UA, OPC DA, MQTT, SCADA, historian systems, or other industrial/IoT platforms. (preferred)
• Understanding industrial automation, manufacturing systems, or laboratory informatics environments is highly desirable. (preferred)

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