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Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of more than $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.
About Team: The Enterprise Technology & Operations (ETO) team partners with the business and other IT groups to define, manage, test, validate and deliver the strategic direction and operational performance of Enterprise Applications and Systems for Thermo Fisher Scientific.
Our enterprise applications manage business critical activities like order taking and fulfillment, manufacturing, managing new product development and launch, sales and customer management, data and document management, and business insights**.**
Work with datasets to perform data cleaning, preprocessing, and basic feature engineering within the CRM Data store
Support / Maintain integration of AI solutions with Salesforce platforms using APIs and built-in tools
Contribute to building intelligent workflows within Salesforce (Einstein, Flows, basic automation)
Assist with developing business applications that leverage AI technologies such as OpenAI, Claude etc
Collaborate with senior engineers and cross-functional teams to deliver end-to-end solutions
Participate in testing, debugging, and improving AI-driven applications
Document solutions, experiments, and learnings clearly
Open mindset towards learning and adapting to new skills within CRM ecosystem such as – Salesforce.com and Oracle CPQ.
Exposure / Understanding of Salesforce.com platform, Salesforce Administration, Development experience (Knowledge and or Hands On)
Hands-on knowledge – Apex, SOQL, Java, Python, Typescript,
Understanding of AI Concepts such as RAG, MCP, APIs, JSON, and system integration basics.
Experience working with SQL and handling datasets
Exposure to Salesforce and force.com, low-code/no-code platforms, or automation tools
Academic projects or internships involving CRM or Salesforce related use cases.
Exposure to cloud platforms (AWS/GCP/Azure) or SaaS platforms
Basic understanding of CRM concepts or business workflows.
Strong interest in learning and enhancing skill set in the Salesforce ecosystem (Sales Cloud, Service Cloud, Einstein AI)
Willingness to pick up platform-specific development skills (Apex, Lightning Web Components)
Ability to quickly learn new tools, frameworks, and business domains
Interest in applying AI to real-world enterprise problems (customer data, workflows, automation)
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Thermo Fisher Scientific is a global leader in serving customers across healthcare, pharmaceutical, biotech, and industrial sectors. They provide laboratory equipment, reagents, software, and services enabling research, diagnostics, and manufacturing. Their offerings help customers in drug discovery, clinical diagnostics, and quality control.
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