[Statlist] Biostatistics position in R&D near Basel

[Roos, Franz]

Dear Statlist subscriber,

We are currently looking for a biostatistician (permanent position, 100%) to join our R&D unit at the DSM nutrition division in Kaiseraugst near Basel, see details further below.

If you are interested in this opportunity please apply online via the recruitment tool by uploading your CV and cover letter at www.dsm.com/careers<http://www.dsm.com/careers>, Job Code NUTR02364.

Best regards,
Franz Roos

Dr. Franz Roos | Senior Scientist Biostatistics | 4303 Kaiseraugst | Switzerland | www.dsm.com<http://www.dsm.com>



About DSM
Royal DSM is a global science-based company active in health, nutrition and materials. By connecting its unique competences in Life Sciences and Materials Sciences DSM is driving economic prosperity, environmental progress and social advances to create sustainable value for all stakeholders simultaneously. DSM delivers innovative solutions that nourish, protect and improve performance in global markets such as food and dietary supplements, personal care, feed, medical devices, automotive, paints, electrical and electronics, life protection, alternative energy and biobased materials. DSM and its associated companies deliver annual net sales of about 10 billion with approximately 25,000 employees. The company is listed on Euronext Amsterdam. More information can be found at www.dsm.com<http://www.dsm.com>.
The position
As a biostatistician you join a small statistical consulting and data analysis team in R&D in Kaiseraugst, near Basel.
The Challenge

  *   Contribute your expertise within various project teams in order to improve nutrition and health in humans and animals with our products
  *   Give advice on statistical methods and help to optimize the design of studies such that resources are invested wisely and meaningful results can be obtained
  *   Conduct statistical data analyses for a wide variety of research questions
  *   Provide visualization, reporting and interpretation to project teams
  *   Critically review, evaluate and interpret internal and external data analyses
  *   Conduct meta-analyses on internal and external data for decision making, product differentiation, and publication
  *   Ensure compliance with statistical requirements of the authorities where needed
  *   Participate in collaborations with external partners on a global basis (universities, non-governmental organizations and customers)
 Your Profile

  *   You have an MSc or PhD in statistics or a related field, or equivalent qualifications and/or experience
  *   Ideally, you also have 2+ years of practical experience applying statistics in a life science environment
  *   You have solid knowledge of standard statistical methods and enthusiasm to explore new methods
  *   You are an experienced R user (our main platform). Ideally you also have a working knowledge of SAS, SPSS or STATA
  *   Fluency in English is required. German or French would be an advantage
  *   You are a team-player who is able to communicate effectively with non-statisticians and who thrives in an open and collaborative R&D environment
  *   You like applied statistics, you are curious about the goals and the context of projects, and you enjoy to contribute to solid decision-making
  *   You appreciate variety and are able to set priorities
  *   Experience with any of the following is an advantage:
     *   statistical consulting, design of experiments, teaching statistics, visualization
     *   clinical, agricultural, and/or observational studies, systematic reviews, epidemiology
     *   meta-analysis, data analysis of longitudinal, multivariate and/or omics data
     *   nutrition, medicine, biology, chemistry
Contact
If you are interested in this opportunity please apply online only via the Recruitment Tool by uploading your CV and Cover Letter, at www.dsm.com/careers<http://www.dsm.com/careers>, Job Code NUTR02364. For additional questions, please contact our HR Business Partner Alisa Heberle, Tel.: +41 61 815 74 53. Reference check procedures are part of the DSM Recruitment & Selection Process. You will be contacted when these reference checks are required.

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