Proteomics Data Scientist - Bremen, Deutschland - Bruker
Beschreibung
Überblick:
As one of the world's leading analytical instrumentation companies, Bruker covers a broad spectrum of advanced solutions in all fields of research and development.
All our systems and instruments are designed to improve safety of products, accelerate time-to-market and support industries in successfully enhancing quality of life.
We've been driving innovation in analytical instrumentation for 60 years now. Today, worldwide more than 7,500 employees are working on this permanent challenge, at over 90 locations on all continents.Aufgaben/Verantwortlichkeiten:
Responsibilities
- Manage data science projects across internal and external stakeholders
- Perform largescale proteomic data analysis on different datasets based on existing software as well as based on inhouse scripts
- Use and develop prototype code for largescale data analysis to solve realworld data science problems
- Assist in prototyping and testing new algorithms and propose biostatistical models for algorithm improvement
- Benchmarking of various proteomics software solutions
- Since your prototype code will be the basis for the product development you are involved in development from conception to deployment
- Willingness to travel (<20%)
Qualifikationen:
- Academic degree in proteomics with a strong emphasis on data analysis
- Background in either data science, computational bioinformatics, biostatistics or equivalent
- Strong understanding and domain knowledge of proteomics
- Experience in the processing of large amounts of complex data and their statistical evaluation, ideally with machine learning methods.
- Good programming skills with experience in Python (other languages an asset)
- Enjoys networking and building collaborations with thought leaders and key customers from industry and Academia.
- Presentation skills to tell a data story and communicate technical concepts to customers and key opinion leaders
- Goaloriented and have an entrepreneurial mindset.
- Enjoy working in an interdisciplinary and international team.
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