Scientist III, Software Engineer, Upstream Process Development

Thermo Fisher Scientific • Grand Island, NY

9h • $87,200 - $116,200 • Onsite

About The Position

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

• 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.

Nice To Haves

• Experience integrating with OPC UA, OPC DA, MQTT, SCADA, historian systems, or other industrial/IoT platforms.
• Understanding industrial automation, manufacturing systems, or laboratory informatics environments is highly desirable.

Responsibilities

• 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.
• 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.
• 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.

Benefits

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement
• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level