Thermo Fisher Scientific
1 posting · 2 open roles
About Thermo Fisher Scientific
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.
Job posts (1)
Explore Exciting Fresher & Experienced Roles at Thermo Fisher Scientific
Posted October 16, 2026 · 2 roles
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Explore Exciting Fresher & Experienced Roles at Thermo Fisher Scientific
Posted October 16, 2026 · 2 roles
Software Test Engineer I
Skills
Qualification
- Bachelor's Degree required.
- Preferred Fields of Study: Computer Science, Software Engineering, Electronics/Electrical Engineering, Chemistry, Biochemistry, Bioinformatics, or related field.
- ISTQB or equivalent software testing certifications preferred.
- Strong knowledge of software testing methodologies, tools, and quality control processes.
- Proficiency in programming languages such as Python, Java, or JavaScript.
- Experience with test automation tools (Selenium, TestComplete, JUnit).
- Experience with defect tracking and test management systems (JIRA, TestRail, ALM).
- Knowledge of Agile/Scrum development methodologies.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work effectively in a matrix organization.
- Experience with CI/CD pipelines and version control systems (Git).
- Knowledge of performance and API testing.
- Ability to work independently and collaborate within cross-functional teams.
- Willingness to learn new technologies and adapt to changing requirements.
- Experience with laboratory equipment testing is a plus.
Skills Required
- 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.
- Join our team as a Software Test Engineer at Thermo Fisher Scientific, where you'll contribute to ensuring the quality and reliability of our software solutions.
- You'll work on advanced products that support scientific research, from mass spectrometry instruments to laboratory automation systems.
Roles & responsibilities
- Collaborate with cross-functional teams to develop and execute comprehensive test strategies, ensuring our software meets the highest quality standards.
- Write and execute test plans, test cases, and test protocols.
Intern - IT
Qualification
Bachelor’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, or a related field.
Good programming fundamentals, preferably using Python.
Basic understanding of SQL, databases, and working with data.
Understanding of core programming concepts, data structures, debugging, and problem solving.
Interest in Data Engineering, Automation, AI, and Generative AI.
Strong analytical and problem-solving mindset.
Good written and verbal communication skills.
Ability to learn new technologies and work collaboratively in a team environment.
Skills Required
Python libraries such as pandas or PySpark
Data platforms such as Databricks
Cloud platforms such as AWS, Azure, or GCP
Generative AI and LLMs, including OpenAI APIs, LangChain, LangGraph, or similar frameworks
Concepts such as prompt engineering, embeddings, RAG, or AI agents
Automation using Python, APIs, or workflow automation tools
REST APIs and basic web/service integration
Visualization tools such as Power BI or Tableau
Git/GitHub and basic CI/CD or DevOps concepts
Roles & responsibilities
Work with data using Python and SQL to perform data preparation, analysis, transformation, and basic data quality checks.
Develop simple scripts, utilities, and automation solutions to improve repetitive or manual processes.
Learn and contribute to data pipelines and data engineering solutions using technologies such as Python, PySpark, Databricks, and cloud platforms.
Explore and build Generative AI prototypes using Large Language Models (LLMs), APIs, prompt engineering, and related technologies.
Experiment with AI-assisted solutions for information extraction, summarization, search, insights, and workflow automation.
Assist in developing and integrating APIs and software components.
Create simple reports, dashboards, or visualizations to communicate insights from data.
Perform testing, validation, debugging, and documentation of solutions.
Collaborate with team members to understand business problems and translate them into simple technical solutions.
Learn and follow good software development practices including Git, Agile, CI/CD, data governance, and responsible AI practices.