Statistician, SAS programmer and RWE Data Analyst with over 20 years’ experience in the pharmaceutical industry
Functioned as a clinical trial statistician, project statistician, Interim SAS programming lead and RWE Analyst
Excellent communication skills have been developed through leading teams of statisticians and programmers and providing statistical support on clinical and RWE projects and through substantial liaison with internal and external customers
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Overview
- Availability
- Asap, full-time, onsite & remote
- Qualification
- University, M.Sc. Statistics University; B.Sc. Computer Science and Mathematics
- Language Skills
- German (native), English (business fluent)
- Relevant Expertise
- Real World Evidence, Biostatistician, Data Analyst, Epidemiology, Study Designs, Sample Size Calculations, Statistical Analysis Plans, Study Protocols Design, Pharma
Key-Facts
Extract from previous activities
Pharmaceutical Company, Germany
RWE Statistician & SAS Programmer
RWE Statistician using Marketscan, CPRD, AURUM, Maccabi, Optum, many other claims & EHR databases
Collaborating with medical affairs, HEOR and market access functions to help develop client's portfolio in the post approval space
Main indications are Neurology, Respiratory, Immunology
Pharmaceutical Company, Germany
RWE Data Analyst
Working as data analyst/SAS programmer in RWE (Real World Evidence) group
Programmatic and statistical review of epidemiologybased analysis plans and protocols
Causality methods, propensity score matching, IPTW
Developing SAS tools for use in the extraction and preparation of data for analysis
Extensive use of the CPRD DEFINE and EXTRACT online tools
Designing and implementing reports in SAS (BASE, STAT, MACRO, ODS GRAPHICS, PROC SQL)
Databases include CPRD GOLD, AURUM, HES, ONS Death, IMD and IBM MARKETSCAN
Indications: Neurology, Immunology
Biotechnological Company, Germany
Biostatistician
Trial Statistician for three phase III pivotal trials
Protocol design, specification of the primary analysis variable and secondary analysis variables, detailing hypotheses to be tested in terms of population parameters, specification of analyses methods
Write statistical analysis plans to document in detail how the planned analysis will be implemented. Produce table, figure and listing (TFL) shells
Design analysis datasets (CDISC, SDTM, ADAM Data conventions), working with study programmers to design the datasets needed to implement the planned analyses
Blinded review meeting to define analysis populations (ITT, Per-Protocol, Safety)
Validation of key analysis datasets through double programming
Review of all outputs produced by the programming group
Liaise with medical writing team to support the production of the clinical study reports
Indications: Epilepsy, RA, CD