Good morning Allstat,
Pop Science is delighted to offer this permanent opportunity with our Partner CRO client in Paris.
We are searching for a SAS programmer/ Statistician to strengthen their Biostatistics department based in France.
Here's an idea of what you will be doing:
you will provide your expertise across a variety of topics: Counselling on SAP, Meta-analysis, Statistical Analysis for Biomedical Research, Risk Analytics Strategies, Data Mining, Writing Methods & Procedures, and Medico-economic evaluations.
They develop innovative solutions and apps in Clinical Evaluation, Patient-Centered Healthcare Systems, Patient-Reported Outcomes Measures, Assessment of Patient Preferences, Health Market Access and Public Health.
To be considered for the position you must be fluent in French and English and have the right to live and work in France
DAY-TO-DAY
Developing, debugging, and validating the project-specific SAS programs to generate derived SAS datasets, summary tables, and data listings in accordance with our standards
Developing of SAS code for modeling data and directing the implementation of SAS/STAT procedures such as Proc Lifetest, Proc lifereg, Proc Phreg, proc reg Proc Glm proc glimmix for Survival analysis, logistic regression, repeated measures analysis and other statistical analyses
Facilitating modification and development of existing SAS programs and creation of new programs using SAS Macros
CDISC (Clinical Data Interchange Standards Consortium)
Utilizing Proc CDISC for verifying compliance of datasets with CDISC standards, analyzing and managing the resolution of project issues
Attending company and client meetings for the purpose of facilitation, recording of minutes, and follow-up of timely task completion
You should recognise yourself here:
Strong consulting skills
Be customer friendly and have the ability to build and maintain trusting and value-added customer relationships
Possess strong oral and written communication and presentation skills
Possess database design and management coaching and mentoring skills
Independent worker needing minimal supervision
Be capable of working in a fast-paced environment with tight deadlines
Minimum of a Master's degree in a quantitative field (such as Mathematics or Computer Science)
2+ years of SAS programming experience (creation, modification, and use of SAS datasets).
Experience in SAS Server Software
Meticulous attention to detail
Strong deductive reasoning skills
Please contact Bryan Mackie with your current and expected salary and recent CV.
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Thanks for taking the time to read my message.
Bryan
Bryan D Mackie
Recruitment Consultant
E-mail:[log in to unmask]
Land Line: +44(0)1273729819 Mobile:+44 (0) 7709362446|Website: Pop Science
Skype: bryan.d.mackie Whats App +44(0) 7709362446
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