This role is open to remote or hybrid working across the UK or EU, with Barcelona as the preferred work location.
Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo antes de presentar una candidatura.
We are currently seeking a Senior Biostatistician to join our growing Biostatistics team. In this role, you will perform statistical research tasks of moderate to high technical complexity, with a strong focus on causal inference methods and target trial emulation using real‐world data. You will contribute to the development of statistical analysis plans, conduct analyses, and support proposal development under limited supervision while collaborating closely with multidisciplinary project teams on regulatory‐grade research deliverables.
What You'll Do
* Plan, conduct, and document statistical analyses for observational studies and clinical trials, with an emphasis on causal inference methods.
* Implement target trial emulation analyses using real‐world data sources.
* Develop simple to moderately complex statistical analysis plans and contribute to more complex SAPs under supervision.
* Write statistical sections of study reports, protocols, and proposals.
* Ensure the quality, accuracy, and timeliness of statistical analyses and programming outputs.
* Provide statistical and methodological solutions to internal, cross‐functional project teams.
* Mentor and oversee less experienced staff on selected project tasks.
* Learn and apply new statistical methods in response to evolving project and research needs.
* Contribute to the scientific reputation and professional development of the biostatistics group and prepare presentations for external audiences.
What You'll Need
* Bachelor's Degree and 8 years of experience, Master's degree and 6 years of experience, PhD and 1 year of experience, or equivalent combination of education and experience.
* Strong programming skills in R (required), including experience developing reproducible analysis pipelines.
* Experience with causal inference methods (e.g., propensity score methods, weighting, marginal structural models); target trial emulation experience is desirable but not required.
* Experience analyzing real‐world data (e.g., claims, electronic health records, registries).
* Familiarity with SAS, machine learning, and natural language processing is desirable but not required.
* Background in biostatistics or related quantitative disciplines.
* Knowledge of Good Clinical Practice (GCP), quality assurance principles, and regulatory environments.
* Strong analytical, organizational, and problem‐solving skills.
* High level of written and verbal communication skills in English.
* Ability to manage multiple tasks, meet timelines, and work effectively in collaborative team environments. xqysrnh
* Experience in the pharmaceutical industry is a plus.
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