Data Analyst Consultant to life science company in...

Location: Solna kommun

*** Mention DataYoshi when applying ***

job description.

We are now looking for a Data Analyst Consultant to join our client based in Solna. The successful candidate will be part of the Product Stability team and work with improvements of current data handling procedures to ensure more efficient processes.

Randstad Life Sciences is specialized in competences within Life Science. As a consultant with us, you get a competitive salary, benefits and collective agreements. Your consultant manager is always there for you and ensures that you get varying and developing assignments at different companies, within different industries. At Randstad Life Sciences, your personal development is in focus, and you are offered a large network and many social activities.


Current data handling is partly manual which is time consuming and face the risk of error introduction. At present, linear regression graphs are generated in excel by inserting values from the raw data file. Several ongoing projects within the client aim at the development of more complex products which will generate larger volumes of data within the stability studies and thus need improved ways for automated and standardized data analysis. The tools used for data analysis are excel macros as well as macros for the data analysis tool Minitab.

The aim of this project is to improve current data handling procedure within the Product Stability team to ensure a more efficient process. This could be achieved through improved excel macros which can extract specific data sets from a pasted raw data sheet and ad them to specified linear regression worksheet tables. Diverse projects require differentially subsetted data sets appended to linear regression tables, as specified in the stability study plan. This entails an easily adaptable macro to include correct parameters and create plots accordingly. The macros need to take into consideration and analyze data points related to temperatures and control materials at each time point which require separate linear regressions, but also to add different testing timepoints.

working hours.

This is a short term contract of six months with start as soon as possible.


Preferable experience would be:

  • Biology/Molecular biology background with experience in computing/programming OR computer science background with experience in medical or biology field.
  • Experience in biological data processing, creating macros, projects related to handle big data and improving/developing methods for improved data analysis using preferably excel (VBA) and Minitab, but experience in other programs are also an advantage.
  • Fluent in English. Fluency in Swedish is an advantage.
As a person, we believe that you are indpendent, driven and creative. You enjoy being part of a team and are not afraid to share your thoughts and ideas with the group. You can understand and analyze the needs of the group and find improvement areas.


Last day to apply: 2021-02-10. Selection and interviews will be ongoing. The position may be filled before the last day of application, therefore, apply as soon as possible.

For more information: Isolde Andersson, Consultant Manager;

Because of GDPR we are not allowed to handle applications by e-mail and applications sent through e-mail can therefore not be processed.

about Randstad.

With more than 600 000 employees in 38 countries, Randstad is the global leader in the HR services industry and offers staffing, consulting and recruitment solutions in all areas of expertise. We also offer interim management, executive search and outplacement services. We have a large network of clients and candidates, which means that we convey hundreds of jobs within different industries all over Sweden. Our ambition is to be the best employer in the market.

By combining our passion for people with the power of today’s technology, we help people and organizations to reach their true potential. We call it Human Forward.

*** Mention DataYoshi when applying ***

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