Expert Modeller (remote, full-time)

Over deze functie

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.

Originally posted on Himalayas