Senior Data Scientist with focus Statistical Programming (f/m/d - part/full-time)
Munich
- Pay
- Salary not listed in the saved posting
- Work setup
Working pattern needs review — work setup source
What we offer you We value communication, flat hierarchies, open corporate culture, and a harmonious work environment. We offer comprehensive individual development opportunities, continuous trainings, and flexible working hours. A modern and bright office with a subsidised canteen, as well as the opportunity to work 2 days per week from home are part of our everyday working life. Full remote work from anywhere in Germany for those who do not live in Munich can be discussed. You will join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds. Question?
Read the full posting- Employment
- Unconfirmed
Tools in this posting
- R
- SAS
- SAP
Source — Tool mentions in context
- Analysis of project data (e.g. trial data) and data processing - Statistical programming with SAS and/or R, development of reusable programs (e.g. macros), data visualization, and output generation - Specification and creation of (CDISC) analysis datasets
- At least three years of experience in SAS programming and clinical research - Experience in R programming - Excellent working knowledge of clinical trial documents (CSR, SAP, CTR)
- University degree in data science, mathematics, computer science, or equivalent education with a good knowledge in statistics - At least three years of experience in SAS programming and clinical research - Experience in R programming
- Experience in R programming - Excellent working knowledge of clinical trial documents (CSR, SAP, CTR) - Very good knowledge of clinical data
Job description
- Analysis of project data (e.g. trial data) and data processing
- Statistical programming with SAS and/or R, development of reusable programs (e.g. macros), data visualization, and output generation
- Specification and creation of (CDISC) analysis datasets
- Validation of datasets and outputs
- Support non-clinical / clinical development in all phases
Your profile
- University degree in data science, mathematics, computer science, or equivalent education with a good knowledge in statistics
- At least three years of experience in SAS programming and clinical research
- Experience in R programming
- Excellent working knowledge of clinical trial documents (CSR, SAP, CTR)
- Very good knowledge of clinical data
- Knowledge of CDISC standards (ADaM, define.xml, ADRG)
- Strong analytical and quick-learning skills
- Knowledge of basic statistical concepts
- Precise and accurate way of working
- Team player and a high degree of initiative
- Good English skills, German is an advantage
What we offer you
We value communication, flat hierarchies, open corporate culture, and a harmonious work environment. We offer comprehensive individual development opportunities, continuous trainings, and flexible working hours. A modern and bright office with a subsidised canteen, as well as the opportunity to work 2 days per week from home are part of our everyday working life. Full remote work from anywhere in Germany for those who do not live in Munich can be discussed. You will join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds.
Question?
If you have any questions, please feel free to contact us by e-mail application@staburo.de.
Your next step
- Have your CV and examples of relevant work ready.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Munich
What we offer you We value communication, flat hierarchies, open corporate culture, and a harmonious work environment. We offer comprehensive individual development opportunities, continuous trainings, and flexible working hours. A modern and bright office with a subsidised canteen, as well as the opportunity to work 2 days per week from home are part of our everyday working life. Full remote work from anywhere in Germany for those who do not live in Munich can be discussed. You will join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds. Question?
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 8, 2026
- Recorded sightings
- 26
- Last seen by us
- Sep 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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