Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Do you have a passion for innovative ideas and groundbreaking discoveries? With over $1 billion invested annually in R&D, at Thermo Fisher Scientific you'll help to solve some of the world's toughest challenges, from giving cancer patients hope, ensuring safe drinking water and helping law enforcement address cases through forensics. We empower our teams to put science into meaningful action and give our R&D colleagues the autonomy, resources and tools they need to take science a step beyond.
Our group
At Physical Failure Analysis group (PFA), we develop and maintain the software for automation of operation of Scanning Electron Microscopes. Our solution is crucial for semiconductor industry to identify errors in the production of semiconductor components and advance their research and production, to make them more robust, reliable, energy efficient.
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As a member of an international team of scientists, software developers, and engineers, you'll support development of application software that will allow to automate the instrument. Insights and recommendations you provide will improve solution robustness, speed up research of new technology or algorithms and help the team with making better research decisions.
Daily Challenges
- Build reports to provide deeper insights into process and telemetry data.
- Design dashboards enabling users with dynamic insights.
- Develop Python modules that transform raw data into actionable insights.
Knowledge, Skills, Abilities
To be successful in your future job, you should have:
- Ability to work in a multi-functional team and readiness to offer help
- Proficient in English language
- Proficient oral and written communication skills
- Strong data-analytical background
- Active use of Python and Pandas
- Eagerness to understand the domain - electron microscopes
- Both ability to prototype fast and deliver production-grade code
The following skills are nice to have:
- Hands-on experience with Plotly / Dash or other dashboarding tool.
- Experience with popular data analytical platforms, e.g. Databricks, Qlik, Tableau, ...
- Skills in statistical data analysis
- Experience with image processing methods
Technologies we use
- Python, pandas, plotly
- GitHub
- JupyterLab
- JIRA, Confluence
- Elasticsearch
Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. A one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.