At Thermo Fisher Scientific, we have an incredible mission: to enable our customers make the world healthier, cleaner and safer. Our responsibility in supporting this vision is to consistently strive to work together and enable our customers more effectively. We have the 4i Values – Integrity, Intensity, Innovation and Involvement that define the way we work together and with our customers. As we operate within the 4i framework, there are three areas that we believe could really lead to a breakthrough in the way we work together: Accountability.  Innovation.  Risk tolerance.
 
When you join us at Thermo Fisher Scientific, you’ll be part of a smart, driven team that shares your passion for exploration and discovery. With revenues of $20 billion, we give our people the resources and opportunities to make significant contributions to the world. Every year, we make millions of DNA microarray chips to support the work of researchers and industrial applications. Application areas that benefit from our products include plant and animal agriculture, precision medicine, reproductive health and more.
 
We are looking to hire a highly motivated data scientist whom can leverage the power of analytics to show how data can improve the lives of many. As a Data Scientist at our Microarrays Manufacturing Engineering organization, you will be working on multidisciplinary projects leveraging big data to generate models to gain actionable in-sights and accelerate scientific discovery.


Essential Functions:
 

• You will lead in the development of new approaches in using Data, Statistics, Design of Experiments and Machine Learning techniques to help manage the manufacturing operations.
• Drive data analytical pipelines from Definition, Data Ingestion/Preparation/ Segregation to Model Training/Evaluation/Deployment/Refinement
• Work with process, equipment and QC/QA data logs to create insights that drives key improvements in manufacturing yield, reduce variabilities, etc
• Connect the Microarrays value chain from Design, Manufacturing and Customers Intended Use using Data analytics
• Collaborate with cross functional teams within Singapore and around the globe to drive desired outcomes.
• Lead from our Singapore Microarrays Site for our Global Data Science Innovation Lab
• Advocate for advanced analytics to support the business to make decisions.
• Work with IT to develop and integrate analytical modelling.
• Assist in data definition creation for new database development or changes.
• Develop BI dashboards and methods to visualize information from large data sets.

 
 
Minimum Qualifications:
 
Education
Master’s in engineering, Statistics, Computer Science, or Data Sciences.
Minimum bachelor’s degree with 1-3 years of experience in data science roles.
 
Experience
Minimum 3 years of data science experience
 
Knowledge, Skills, Abilities

Knowledge

• Advanced knowledge of statistics.
• Working knowledge of statistical programming languages (R, Python, etc)
• Power BI, Machine learning experience
• Experienced in data structure, data management and data quality monitoring
• Proficient in SQL

 
Skills and Abilities

• Proactive and have the initiative to drive and get things done ahead of plan (Exceeding expectation)
• High fluency in spoken and written English
• Possess good problem-solving skills   
• Strong cross-functional team player
• Good organizational skills

 

Preferred Qualifications (nice to have):
 
Experience with medical science solutions that manages genomic or biomedical data
 


 
 
At Thermo Fisher Scientific, each one of our 70,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner and safer. Apply today http://jobs.thermofisher.com
 
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.