R programmer 80 - 100%
Infos sur l'emploi
- Date de publication :10 octobre 2024
- Taux d'activité :80 – 100%
- Type de contrat :Temporaire
- Langue :anglais (Courant), allemand (Intermédiaire)
- Lieu de travail :Effingerstrasse 33, 3008 Bern
The Swiss Group for Clinical Cancer Research (www.sakk.ch) is the cancer research network in Switzerland and employs over 70 people at the Competence Center of SAKK. In line with our vision “We bring progress to cancer care”, we have been conducting clinical trials in oncology as a non-profit organization since 1965.
To support our statistics team, we are looking for a motivated, reliable and independent person to join our team as a temporary team member for one year immediately or upon agreement as
Your tasks:
- Advance the development of SAKK internal R packages
- Program and maintain R functions for figures and tables to make the design and analyses of clinical trials more efficient, and ensure high quality and reproducibility
- Contribute to the initiative to validate R at SAKK
- Provide R programming support and advice to biostatisticians and statistical programmers within the statistics team
- Participate in unit and cross-functional activities aimed at optimizing and standardizing processes
About you:
- Bachelor’s Degree or Master’s Degree / Diploma in statistics, computer science or a related field
- Proficient in R
- Experienced in developing R packages in GitHub
- Experience as a statistical programmer or biostatistician in clinical trials in oncology would be advantageous
- Knowledge in statistical methods like survival analysis, linear, logistic and Cox regression and mixed models would be an asset
- Strong problem-solving skills and ability to work both independently and in teams
- A team-oriented mindset and proactive communication skills, with the ability to effectively share ideas and feedback within the team
- Excellent written and oral communication skills in English
- Ability to communicate in German
We offer:
Responsible tasks with the opportunity to get involved in clinical cancer research in an academic environment. A collegial, modern and friendly working environment near the train station awaits you. Annual working hours and the opportunity to work from home are part of our attractive employment conditions.
For more information, you may contact Stefanie Hayoz, PhD, Head of Statistics (+41 31 508 42 20). We look forward to receiving your online application (preferably with a letter of motivation) by email (in PDF format) with the note "Statistical Programmer" to E-Mail schreiben.
Contact
- Monika HofmannHR