Thermo Fisher Scientific Logo

Thermo Fisher Scientific

Scientist III, Software Engineer, Upstream Process Development

Posted 5 Days Ago
Be an Early Applicant
In-Office
Grand Island, NY
87K-116K Annually
Mid level
In-Office
Grand Island, NY
87K-116K Annually
Mid level
Develop, deploy, and maintain enterprise Python applications and Dash/Flask web apps. Build CI/CD pipelines, manage cloud deployments (AWS/Azure/GCP), containerize with Docker and Kubernetes, integrate data systems and industrial protocols, and partner with scientists and engineers to deliver production-grade software for process and laboratory environments.
The summary above was generated by AI

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)

Compensation and Benefits

The salary range estimated for this position based in New York is $87,200.00–$116,200.00.

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: https://jobs.thermofisher.com/global/en/total-rewards

Similar Jobs

An Hour Ago
Easy Apply
Hybrid
Easy Apply
96K-120K Annually
Senior level
96K-120K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Provide technical support and customer service for global endpoint devices and SaaS tools. Onboard and deploy laptops, manage tickets and accounts, maintain inventory, support conference-room UC, automate workflows via scripting/APIs, mentor junior staff, lead projects and events, create documentation, participate in on-call rotation and security/deployment initiatives.
Top Skills: AIAPIsChrome OsConfluenceGoogle Workspace (G Suite)iOSJAMFmacOSRingcentralScriptingSlackUnified CommunicationsWindowsZoom
An Hour Ago
Easy Apply
Hybrid
Easy Apply
124K-182K Annually
Senior level
124K-182K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Partner with Marketing leaders to define GTM strategy, annual planning, and budgets; build and deploy AI-enabled marketing solutions; analyze marketing and GTM data to inform investment and allocation decisions; optimize dashboards with Data & Analytics; drive execution, rollout, and adoption of operating systems that improve marketing productivity and pipeline generation.
Top Skills: AIPythonSQLTableau
An Hour Ago
In-Office
90K-115K Annually
Mid level
90K-115K Annually
Mid level
Mobile • Real Estate • Software • Database • Analytics
Serve as frontline owner for customer issues from intake to resolution. Troubleshoot technical product, data, and integration problems; collaborate with Product and Engineering to escalate bugs; train and improve AI support tools; create and maintain help documentation; surface customer insights to influence product decisions; and improve support processes for scalability and better customer outcomes.
Top Skills: Ai-Enabled Support ToolsAPIsIntercomSalesforceZendesk

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account