Principal or Senior Principal Biostatistician (80-100%)*
Inseriert am: 26.03.2021
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Job ID 314005BR Position Title Principal or Senior Principal Biostatistician (80-100%)* Apply to Job
Job Description
200+ compounds in Novartis are supported by biostatisticians in 10+ sites around the globe. Biostatisticians transform clinical data into analyses that build the basis for making innovative drugs accessible for patients. They influence decision-making in cross-functional international teams from early to late phase drug development.
Come to an industry leader where you will be responsible for all statistical work, scientific and operational, in collaboration with the clinical trial team. You will have the opportunity to support trial/project/disease-level deliverables for clinical development/research projects with supervision. You will develop and implement modern and innovative clinical trial/experimental designs, statistical methodology in collaboration with a cross-functional team within full development. This role enables working independently at the trial level and may lead to indication or project level statistical activities for a clinical development project.
This position will be filled at level commensurate with experience (may be hired at the Principal or Senior Principal level).
Your tasks:
• All statistical tasks on the assigned clinical trials
• Protocol development in alignment with the development plan, developing statistical analysis plan, reporting activities
• Planning and execution of exploratory analyses and statistical consultation within your cross-functional teams
• Lead the development and implementation of innovation in statistical methodology and trial design
• Have opportunity to explain statistical methodology and analysis results to cross-functional teams and support regulatory submission to bring new treatments to patients
• Contribute to external engagement with consultants, advisory boards, health authorities, congresses, and scientific meetings
• Mentor new hires and/or junior Statisticians
Minimum requirements
What you’ll bring to the role:
• Masters or PhD in Statistics or equivalent
• Work experience applying your statistical knowhow in clinical research (e.g. in a pharmaceutical company, Clinical Research Organization or academic environment)
• Working knowledge of machine learning methods
• Excellent programming skills: SAS and/or R, Python
• Fluent in English
You’ll receive flexible working, as well as learning and development opportunities.
Why consider Novartis?
799 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.
Imagine what you could do at Novartis!
Commitment to Diversity & Inclusion:
Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.
*Some restrictions on flexible working options may apply and will be discussed during interview if applicable.
Join our Novartis Network:
If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here:
talentnetwork.novartis.com/network Division Global Drug Development Business Unit CD&A GDD Location Switzerland Site Basel Company/Legal Entity Novartis Pharma AG Functional Area Research & Development Job Type Full Time Employment Type Regular Shift Work No
