Thermo Fisher Scientific: Data Analyst, Bioinformatics

Apr 20th, 2016 | By | Category:
Job ID: 5446
Job date: 2016-04-18
End Date:

Company : Thermo Fisher Scientific 

Country :

Role : Research Scientist 

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Job Description:
Data Analyst, Bioinformatics

1 day left

Employer Thermo Fisher Scientific Location Vantaa, Häme Finland Salary Competitive Posted April 18 2016 Closes April 21 2016 Ref 32970BR Discipline Life Sciences, Bioinformatics, Microbiology, Proteomics, Physical Sciences, Computer Sciences, Information Technology, Statistics Send Save Apply

We are now seeking a

Data Analyst, Bioinformatics

to join Bioinformatics team in our R&D organization in Microbiology Division in Vantaa, Finland.


Analysis and processing of microbiological measurement data.Participation in development of bioinformatics tools and algorithms.Development of data mining and machine learning algorithms.
Top Skills
Proficiency in a script language, such as R, Matlab, or Python. We use R. You will learn it quickly if you know Matlab or Python.You must have some programming experience.Experience in algorithm development would be an asset.Experience or studies in statistics would be an asset.Knowledge of C#, .Net, or C/C++ would be an asset.Any experience in machine learning or data mining would be nice.Knowledge proteomics would be nice.Knowledge taxonomy would be nice.Knowledge bioinformatics would be nice.
This position will require
Active, open, and curious mind. There will be many things to learn.Good communications skills with international partners by phone and emails.Ability to write documents and speak in clear and concise English language. May require some travel.

You will work in close collaboration with a wide variety of people from various backgrounds, such as bioinformaticians, microbiologists, and software developers. We acknowledge that no one knows all from the start and therefore we are looking for an active person who is not afraid to communicate, learn, and ask.

We expect that you have a keen interest in analysis of data. We serve other teams in their data analysis needs and therefore you should have a friendly attitude and willingness to help others. We are doing new things and therefore you should be able to learn new tools, new methods, and new applications areas. The team is small and we possess expertise knowledge in diverse areas. We don't have time to micromanage and you definitely should be self-motivated and having a self-starter attitude.

Should you have any questions, please contact R&D Manager Tuomo von Lerber on Monday April 11 at 2-3 PM or Monday April 18 at 2-3 PM (tel. +358 0400 699 022). Applications together with CV and salary suggestions should be sent no later than April 25, 2016.

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