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Open nowPosted 134 days ago

Expert Modeller (remote, full-time)

P954 open roles

Where
P95 Europe, Belgium
Work mode
Remote
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Your applicationOpen nowExpert Modeller (remote, full-time)P95 · P95 Europe, Belgium

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 134 days ago

The posting

Job description

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.

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.

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.
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