Expert Modeller

Responsibilities

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.