Expert Modeller (remote, full-time)

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