RWE Biostatistician

Resilience Care; Rennes; Sur place; EUR 42 000 - 65 000; Plein temps

Résumé du poste

Resilience Care in Rennes, France, seeks a Biostatistician/RWE specialist to build and deliver statistical work for Real‑World Evidence and Medical Affairs studies—from analysis planning to reproducible programming and clear interpretation.

You will program analyses in R and Python, apply survival analysis and GLMs, design robust methods for RWE, set up data quality checks, and produce decision-ready tables, figures and reports for cross‑functional teams.

Qualifications

• Applied biostatistics with experience in Real‑World Evidence (RWE) and medical affairs.
• Write clean, reproducible code in R and Python; basic SQL knowledge.
• Work with patient healthcare data, ensuring data quality and traceability.
• Produce clear methodological documentation (SAPs, protocols, reports).
• Build meaningful data visualisations and communicate insights to diverse audiences.

Responsabilités

• Draft and contribute to Statistical Analysis Plans (SAP) and methodological docs.
• Program analyses in R and Python; utilize SQL/PostgreSQL.
• Contribute to RWE studies: design, methods and execution.
• Set up data quality checks and document assumptions.
• Produce decision-ready deliverables (tables/figures/reports) and explain results to non‑statisticians.

Connaissances

Biostatistics

R

Python

SQL

Data visualization

Outils

PostgreSQL

Description du poste

The company

Resilience Care is a leading French remote patient monitoring (RPM) company and a clinical research partner, founded in 2021 with a mission: better care.

We provide RPM solutions in oncology, gastroenterology and psychiatry, combining ePRO collection with AI techniques. Our platform supports healthcare professionals with early side‑effect detection for continuous and proactive care, and our patient mobile app helps measure and manage symptoms with tailored resources.

Our solutions improve care pathways, enrich continuous patient understanding, and accelerate clinical research through the collection, structuring and in‑depth analysis of real‑world data. They are currently deployed in routine care for 35,000 patients across 200+ healthcare institutions, and also support around twenty academic and industry clinical studies.

We put data at the service of care and therapeutic innovation, with the ambition to enable every patient to benefit from personalized medicine.

Your role

In a nutshell: you will help build and deliver robust statistical work for Real‑World Evidence (RWE) and Medical Affairs studies — from analysis planning (SAP) to reproducible programming and clear interpretation.

Your impact: make study execution more reliable, faster and more reproducible (plans, code and reporting), enabling cross‑functional teams to make informed decisions.

Your day‑to‑day

• Draft and/or contribute to Statistical Analysis Plans (SAP) and methodological documentation.
• Program analyses in R and Python; concept of SQL/Postgre.
• Contribute to RWE studies : design, methods and execution.
• Set up data quality checks (consistency, cohort rules) and document assumptions.
• Produce decision‑ready deliverables (tables/figures/reporting) and explain results to non‑statisticians (internal or external actors).

Your team

• Your future teammates: Dynamic team with medical and pharma expertise
• Your manager: Nicoleta - Director Translational Research – RWE & Biostatistics

Profile

• You are a good fit if you can:
  • Apply biostatistics (survival analysis: Kaplan‑Meier, log‑rank, Cox; regression; GLM/GLMM; matching/weighting).
  • Write clean, reproducible code ( R, Python; basic SQL).
  • Work with patient healthcare data (quality, traceability, constraints).
  • Produce clear statistical/methodological documentation (protocole, SAPs, reports).
  • Build meaningful data visualisations.
  • Communicate insights to diverse audiences.
• You are a good fit if you have:
  • High methodological rigor and attention to detail.
  • Autonomy and ownership mindset.
  • Ability to prioritize and handle multiple studies in parallel.
  • Clear communication and collaborative approach.
  • Resilience when facing methodological push‑back.
• You are a good fit if you have already:
  • 2–4 years of experience in biostatistics/RWE (CRO, consultancy or similar environments).
  • Delivered analyses on healthcare datasets.
  • Built reusable outputs (codebases, pipelines, reporting templates).
  • Worked closely with non‑technical stakeholders.
• A plus if you:
  • Know good practices/guidelines (GxP, ICH E9/E9(R1)).
  • Have exposure to machine learning applied to healthcare data.
  • Have worked with external vendors (Pharma, CRO’s etc).

Why join us?

• High‑impact healthcare mission at the intersection of care, data and clinical research.
• Broad scope: RWE, Medical Affairs studies, standardisation and automation.

Hiring process

• Screening (15 min): motivation, prerequisites and context.
• Manager interview (45 min): role expectations, methods and collaboration.
• Case study (45 min to 1 h): technical discussions and practical use cases with multiple interviewers.
• Team fit - Panel interviews (30 min each): discussions with multiple interviewers of the team.

GDPR : Your personal data will be processed for the purposes of recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. They will be available only for people involved in the process and erased after 2 years of inactivity.

Under GDPR and as Resilience attach great importance to privacy, please note that you have the right to request access to your personal data, to request that your personal data be rectified or erased. The Data Protection Officer can be contacted at [e-mail]

For more information, please check our privacy policy.