Senior Real World Evidence Statistician (H/F) (Gif-sur-Yvertte, FR, 91190)

Gif-sur-Yvertte, France Type not listed
Notify me about similar jobs

Servier is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

Nous sommes un groupe pharmaceutique à dimension humaine, international et indépendant, gouverné par une Fondation. Notre modèle, singulier, fait notre fierté mais, surtout, nous permet de servir pleinement notre vocation : « Engagés pour le progrès thérapeutique au bénéfice des patients ».

Aujourd’hui leader mondial en cardiologie, nous avons choisi de devenir un acteur focalisé et innovant en oncologie d’ici 2030, en ciblant des cancers difficiles à traiter et en y consacrant plus de 70 % de notre budget R&D. Un défi que nous poursuivons en parallèle du développement de notre activité générique pour un accès à des soins de qualité pour tous, et à moindre coût.

Nous ? 22 000 passionnés de plus de 50 nationalités, portés par un esprit d’entreprenariat. Chaque jour nous avançons avec et pour les patients, avec et pour nos équipes, portés par l’envie de prendre soin, d’oser, de nous développer, de nous engager pour être utiles à celles et ceux qui en ont besoin.

Venez vivre et contribuez à faire vivre notre engagement #MovedByYou

www.servier.com

As a senior RWE statistician, you join an international and committed team, in charge of methodological and statistical approaches serving our real-world data studies and supporting related development plans.

You drive the RWD studies you are assigned, ensuring state-of-the-art methodologies and deliverables, in compliance with regulatory guidelines as well as all Servier policies and procedures.

Main responsibilities:

Collaborates in the preparation of the RWD study protocol: methodological choices, statistical estimation of the number of patients and statistical analysis strategy.

Develop, implement or advise on appropriate new statistical methodologies and keep abreast of current issues and developments in statistical innovation with RWE applications.

Ensures RWE data statistical analysis: Contributes to statistical methodology definition for study designs

Writes the Statistical Analysis Plan (SAP), the table/listings/graph document (TLG),

Perform data analyses for real-world datasets

Ensures validation of the results produced and their validity and robustness,

Participates in internal communication of results,

Review the study report and ensures proper statistical interpretation of the results

Collaborates with multi-disciplinary project teams to establish project goals and timelines.

Establishes effective communication with various internal stakeholders to understand and support the strategy for when and how to use RWD.

Contributes to productive collaborations with other stakeholders, promoting teamwork, quality, operational efficiency and innovation

Lead or participates in working groups on methodological and statistical issues, as well as in transversal and multidisciplinary projects

Contributes to the internal and external visibility of the department and promote the development of internal scientific knowledge.

Profile:

Master or Doctoral degree or equivalents in Biostatistics, Statistics or closely related fileds.

5 years’ experience as statistician for real-world data studies

Strong knowledge of real-world study methodologies

Experience leading secondary data analysis, including medical claims, electronic medical records, chart reviews, and registries.

Mastery of regulatory guidelines (FDA, EMEA, ICH)

R expertise

Ability to effectively communicate with others on the project team and in the department; strong interpersonal communication skills

Detail oriented, well organized with the ability to work on several projects simultaneously

Excellent team player, collaborative and maintains a positive, results-orientated work environment

English fluency is required

Nous sommes engagés pour l’égalité des chances et le développement des talents dans toute leur diversité. Nous accordons autant de valeur à l’expérience qu’à l’envie de s’engager au quotidien pour être utile au progrès thérapeutique au bénéfice des patients. Si vous vous reconnaissez dans cette offre et ces quelques lignes, saisissez cette opportunité de nous rencontrer.

]]>

Job details

Seniority
Senior
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Gif-sur-Yvertte, France
Employment type
Not listed

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 102 comparable Senior Biostatistics & Data Science roles across 26 biopharma companies.

102Comparable roles tracked
95Currently active
26Companies hiring similar roles
13Countries represented

Salary context

52 of 102 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject Not listed on this posting
Lowest disclosed · Principal Computational Statistician · Lilly $66,000/yr – $193,600/yr
Highest disclosed · Principal Scientist, Biostatistics · Merck $190,800/yr – $300,300/yr
Peer group range $129,800 – $245,550 (median $180,500)

Where these roles are based

Top locations among the 102 comparable roles

United States71
United Kingdom4
Germany4
Japan4
India4
Spain3

+ 7 more countries

Seniority mix

102 of 102 peers have a known seniority level

Senior41
Principal37
Associate Director24

Therapeutic area mix

6 of 102 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology3
Rare Disease2
Immunology1

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

60%similar
AbbVie Boulogne-Billancourt, IDF Senior
Same function Same seniority Same country
45%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same seniority
45%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same seniority
45%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same seniority
45%similar
Merck North Wales, Pennsylvania, United States of America Senior
Same function Same seniority
45%similar
AbbVie Worcester, MA Senior
Same function Same seniority

Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

60%
Senior Data Science Analyst & Project lead
AbbVie · Boulogne-Billancourt, IDF · Senior
Function Therapeutic area Seniority Country
45%
Sr. Computational Statistician
Lilly · Indianapolis, Indiana, United States of America · Senior
Function Therapeutic area Seniority Country
45%
Sr Data Scientist (Tianjin, Tianjin, CN)
Novo Nordisk · Tianjin, China · Senior
Function Therapeutic area Seniority Country
45%
Senior Real World Evidence Expert (UK)
UCB · Slough, Berkshire, United Kingdom · Senior
Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.