The responsibilities for the Expert Modeller include, but are not limited to, the following:
- Closely collaborate with the Head of RWE Statistics, Modelling and HEOR,
- Provide statistical advice that ensures the preparation and conduct of epidemiological studies is of high scientific quality;
- Support study preparation with simulations and sample size calculations;
- Improve the totality of analytical processes to enhance the team’s overall efficiency;
- Manage and oversee the totality of analyses for specific projects or clients
- Supervise statistical activities of other Statisticians to facilitate their professional growth while ensuring the quality and accuracy of the delivered output;
- Act as advisor for other Statisticians on general statistical topics to facilitate their growth;
- Participate in the preparation of offers for statistical projects with input on, e.g. required sample size, proposed study design, statistical study budget.
- Develop scientific presentations and/or publications on statistical topics that showcase scientific excellence (including work conducted by peers);
- Provide critical and detailed review of study documents (e.g. protocols, SAPs, statistical programs) within their area of expertise to ensure documents are of the highest quality;
- Act as point of contact for any internal/external questions with regards to modelling.
Competencies
- Good command of written and spoken professional English;
- Works well independently and as part of a team;
- Functions effectively under stress and relates well to people;
- Strong attention to detail;
- Upholds ethical standards in all analyses and client interactions;
- Demonstrates self-motivation, eagerness to grow professionally and commitment to self-development;
- Dedicated to quality and reliability;
- Effective communication and interpersonal skills;
- Excellent organisational and multitasking skills;
- Leadership skills;
- Ability to solve complex problems independently;
- Influencing and negotiation skills;
- Networking skills;
- Strategic thinking.
Experience
- Ten years of relevant working experience, with a PhD in statistics being a strong asset;
- Planning and performing statistical analyses and coordinating their QC;
- Designing advanced statistical methodologies;
- Statistical programming in R;
- Explaining statistical concepts to non-statisticians;
- Supervising project teams;
- Multi-disciplinary collaborations;
- Scientifically recognised for their expertise on a specific statistical topic related to statistical modelling, e.g. through publications, presentations at conferences;
- Authoritative knowledge on statistical modelling.
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