Scientist III, Software Engineer, Upstream Process Development

Work Schedule

Environmental Conditions

Job Description

As part of the Thermo Fisher Scientific team youll 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 worlds 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. Youll apply advanced analytics machine learning and AI techniques to solve complex business challenges across our our collaborative environment youll 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

• Masters degree in computer science Software Engineering Data Science Engineering or related technical field with 3 years of relevant experience; OR
• Bachelors 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)

Compensation and Benefits

This position may also be eligible to receive a variable annual bonus based on company team and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on which includes:

• 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

For more information on our benefits please visit: Experience:

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