发帖
雷达卡
JOBPURPOSE:
The RBM data scientist will be responsible for preparing the data and running the necessary analyses, from operational and clinical databases SAS, using mainly the CluePoints software but potentially doing more data exploration on SAS, to help the study teams implement and adjust their RBM strategy as the studies are progressing.
KEY ACCOUNTABILITIES:
The RBM data scientist will more precisely:
- Identify the data sources and propose a data preparation approach, eg using sdtm data sets as an entry
- Identifying, selecting, possibly combining the key variables
- Preparing the datasets needed
- Run Cluepoints reports (KRI, DQA) on a regular basis in accordance the study specificities
- Run additional analyses, in conjunction with B&P/TO teams to understand findings if appropriate
- Provide elements of interpretation of findings to the RBM central monitors to understand the signals
- Prepare written report summarizing results (data findings and signals identified), if needed
- Support the definition of actions to be taken to adapt the RBM strategy to signals
- Closely collaborate with RBM Central Monitor
- Follow RBM processes defined for the global and local team
- Provide mentoring to new RBM Data Scientist
JOB-HOLDER ENTRY REQUIREMENTS:
Education:
A scientific or biomedical bachelor degree and above or equivalent
Experience & knowledge:
- 2+ years’ experience in a Clinical Research environment (CRO or Pharma)
- Experience in clinical data programming (SAS, Python …)
- Familiar with the notions of protocol and anannotated CRF
- Able to understand, transform and analyze clinical databases coming from Phase I through Phase IV studies in multiple therapeutic areas
- Able to interpret and explain atypical patterns in the clinical and operational data
- Experience with CDISC databases is a plus
Core competencies:
- Good English oral and written communication skills
- High degree of accuracy and attention to detail is required
The RBM data scientist must have data analytical skills, fluent in SAS programming, have a good understanding of statistical concepts to interpret findings and graphs provided by CluePoints, a good understanding of data flow, and good communication skills to translate those finding into clear messages to the study team.
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