Biostatistician (W/m)

Firalis group of companies is a French based Contract development and manufacturing organization (CDMO) providing cutting-edge multi-omics (Genomics, Proteomics and Metabolomics) analytical services to support academic institution, start up, biotech and biopharmaceutical companies in their research, preclinical and clinical programs. Our one-stop-shop for biomarkers discovery, validation, and assay development is driving the future of care by enhancing the emergence of personalized medicine, with a strong focus in Neurology, Cardiology, and Immuno-Oncology. Working with Firalis group gives access to an integrated platform with large capabilities for biobanking, bioanalysis, bioinformatic, assay development and kit manufacturing leading to an optimization of operational costs, risk management and timelines in the best quality environment.

We are seeking a skilled and enthusiastic **Biostatistician** to join our team.

**Job description**
- **Design and Development**_
- Statistical Programs: Design and develop programs for advanced statistical analyses.
- Innovative Methods: Develop innovative statistical methods, including those based on supervised clustering, machine learning, or AI.
- Supervision: Oversee the programming of statistical analyses across all biological data (using Python and R).
- **Validation and Collaboration**_
- Result Verification: Verify the validity and robustness of results in collaboration with other team members to ensure the accuracy of analyses.
- Close Collaboration: Work closely with biologists and geneticists to interpret results and guide experimental design.
- **Biological Data Analysis**_
- Complex Data Analysis: Analyze complex data from genomics, transcriptomics, proteomics, metabolomics, and imaging.
- Biomarker Models: Optimize biomarker models considering the availability and performance of tests.
- **Deliverables and Communication**_
- Contributions to Deliverables: Contribute to the project's statistical deliverables, including protocols, statistical analysis plans, reports, and presentations of results, while adhering to deadlines and quality standards.
- Result Communication: Communicate, discuss, and interpret statistical results with internal and external stakeholders.
- **Scientific Monitoring and Innovation**_
- Literature Review: Conduct a literature review on new statistical methods and machine learning, including deep learning.
- Valued Experience: Experience with genome-wide association studies (GWAS), polygenic risk scores (PRS), and deep learning approaches applied to omics data is highly valued.

**Your profile**:

- Master's in Biostatistics / Statistics / PhD
- 1-2 years of experience in statistical analysis
- Strong knowledge and implementation of statistical methodology
- Proven experience in programming with Python and R (any other language would be considered a plus)
- Ability to communicate with multidisciplinary teams
- Scientific English (spoken, read, and written)
- Knowledge of Linux and Windows
- Knowledge in the field of neurodegenerative, inflammatory, and cardiovascular diseases would be a plus

Salary to be negotiated according to your experience.

**Job Types**: Full-time, Permanent
Status: Cadre

**Education**:

- Doctorate (preferred)

Work Location: In person