Biostatistician

**Oliver James is looking for a Biostatistician for different roles, with strong capabilities.**
- We introduce talented people to great organisations so that both may grow and benefit from each other's experiences, helping to fulfil their potential. As such, you can come to expect a consistently high level of service and delivery, placing up to C-suite talent in permanent and contract positions, as well as project-based consultancy and temp solutions worldwide from our 12 global locations.- We are seeking a skilled and detail-oriented Biostatistician. As a Biostatistician, you will play a crucial role in the design, analysis, and interpretation of data related to biological and medical research. Your expertise will contribute to evidence-based decision-making, ensuring the accuracy and reliability of statistical methods in various research projects.**Key**

**Responsibilities**:

- Collaborate with researchers and interdisciplinary teams to understand study objectives and design appropriate statistical methodologies.
- Develop and implement statistical analysis plans for clinical trials, observational studies, and other research projects.
- Perform data analysis using advanced statistical techniques to draw meaningful conclusions and provide insights into biological and medical phenomena.
- Conduct sample size calculations and power analyses to optimise study designs.
- Validate and clean data sets to ensure data integrity and accuracy.
- Interpret and communicate statistical findings to non-statistical audiences, fostering a clear understanding of study results.
- Stay current with advancements in statistical methodologies and contribute to the improvement of statistical processes within the organisation.

**Qualifications**:

- Master's or Ph.D. in Biostatistics, Statistics, or a related field.
- 5 years of proven experience in statistical analysis within a biomedical or clinical research setting.
- Proficiency in statistical software with SAS, R and python and a strong understanding of statistical methodologies.
- Excellent communication skills, with the ability to convey complex statistical concepts to diverse stakeholders.
- Strong problem-solving skills and attention to detail.
- Experience working with large and complex data sets.