Responsibilities

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).

Requirements

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.
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.
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.

Nice to Have

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 privacy@resilience.care For more information, please check our