Statistical Modeller - Global leader - 12 Month Contract - Remote/Southampton

On behalf of a Global Leader we are currently looking for an experienced Statistical Modeller to join the partner on a 12 Month Contract.

What are the key objectives and expectations from this role?

To work within the Data Sciences team and cross-functionally to enable the delivery of a program and provide support across the business in terms of computational modelling, data standards, experimental design and statistical analysis.

ACCOUNTABILITIES

• Leading activities for development, maintenance and implementation of internal data standards and processes to ensure efficiency and traceability of data.
• Support predictive modelling work programs Involving collation/curation of data, model translation and code development.
• Providing statistical analysis and experimental design support across Sciences
• Contribute to data review and preparation to meet claims requirements and for regulatory submissions
• Support project development with regards to study design, analysis and data management to ensure consistency and traceability
• SAS programming to support above tasks
• Providing data management and data review support for clinical studies
• Data checking and reviewing to support team members

EXPERIENCE, SKILLS, KNOWLEDGE

Experience Required

• Solid grounding in the application of statistical methods and data analysis
• Good working knowledge of data standards principles with emphasis on CDISC (STDM / ADaM)
• Proficient in SAS Base Programming

Technical / Functional / Leadership Skills Required

• Proactive; self-driven with strong interpersonal, organizational, and multi-tasking skills.
• Good communication/interpersonal skills.
• Cross functional working and leading projects to deliver on time in full

Education / Qualifications / Certifications Required

• Bachelor’s Degree Required (Mathematics/Computing, Statistics/Computing)

BENEFICIAL

• Experience in additional statistical software packages eg. Minitab/JMP, R, Python
• Data Sciences knowledge
• Experience with FDA regulatory submissions
• Implementation of CDISC, CDASH and SDTM standards