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Expert Modeller (remote, full-time)

Role overview

Qualifications

  • Ten years of relevant working experience
  • PhD in statistics being a strong asset
  • Statistical programming in R
  • Scientifically recognised for their expertise on a specific statistical topic

Responsibilities

  • Closely collaborate with the Head of RWE Statistics, Modelling and HEOR
  • Provide statistical advice to ensure high scientific quality of epidemiological studies
  • Supervise statistical activities of other Statisticians
  • Develop scientific presentations and/or publications on statistical topics

Key facts

Hard skills

Other skills

  • Quality Control
  • Communication
  • Teamwork
  • Problem Solving
  • Detail Oriented
  • Leadership
  • Strategic Thinking

About the company

P95 logo

P95

Contract Research Organizations (CRO)

P95 is a leading global provider of epidemiology and clinical solutions with a specialty focus on vaccines and infectious diseases.  Headquartered in Belgium, P95's full-service CRO solutions span 5 continents, with 300 staff and experience across 30 countries. P95 is dedicated to delivering flexible, customer-centrical solutions, powered by a team that is passionate about driving positive change in global health. The P95 group has over 25 years of experience and offers a range of high-quality services including: - Clinical Trials Phase I-IV - Epidemiology and RWE - Vaccine Development Consulting - Study Start-up and Regulatory - Clinical Monitoring - Home Nursing - Sample Management - Medical Monitoring - Pharmacovigilance - Data Management - Biostatistics - Medical Writing - Qualitative Research

Company details

Company typeSME
IndustryContract Research Organizations (CRO)
Company size201 - 500

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Job description

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.

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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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