Client: IQVIA
Location: Warsaw, Poland
Job Category: Other
EU work permit required: Yes
Job Reference: a6a3e7bc6808
Job Views: 16
Posted: 23.01.2025
Expiry Date: 09.03.2025
IQVIA is looking to appoint statistical programmers to utilize the SAS programming language to develop clinical study report materials according to the objectives of a clinical trial for regulatory submissions. Programming and performing related tasks serving the full spectrum of statistical programming needs in our DS3 environment (home based):
Responsibilities:
You can help us bring clinical trial statistical analysis into the next generation. Award winning and innovative, we will give you access to cutting-edge in-house technology, allowing you to work on global projects across therapeutic areas. Be challenged in a fast-paced team environment that is collaborative in performing biostatistical analyses and advanced statistical programming. Development opportunities and mentoring at all levels enable you to progress your long-term career in the direction you choose.
We know that meaningful results require not only the right approach, but also the right people. Candidates should possess a Master’s or Bachelor’s degree in Biostatistics, Statistics, Mathematics, or Computer Science, and have a strong educational or practical evidence in programming.
Key required skills include:
Excellent accuracy, attention to detail, problem solving, organizational as well as interpersonal communication.
In light of the above, candidates for the roles should exhibit the following skills and competencies:
Embrace your curiosity and grow your career in an exciting environment where development is a priority. Think boldly and disrupt conventional thinking. Enjoy what you do. Discover a career with greater purpose and help create a healthier world.
Whatever your career goals, we are here to ensure you get there!
IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world.
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