Job Summary
MAIN TASKS:
* Coding with R/python,
* Hypothesis testing, Linear or non-linear modeling,
* Use of advanced kinetic modeling for stability analysis,
* Implementation of supervised or unsupervised Machine learning algorithms to biosimilar CMC development,
* Report to supervisor and follow plan,
* Presentations to scientists,
* Ensure data integrity management,
* Apply guidelines and procedures, and understand biosimilar development,
* Bibliography and literature on the topic,
* Familiarization with relevant guidance.
Other Tasks
May include:
* Statistical support to the labs (Design of experiments, method qualification, tech transfer),
* Support to daily CMC statistical activities.
QUALIFICATION PROFILE:
Education & Languages:
* Education: Student at master level in either a master's program or equivalent in statistics, biostatistics or datascience,
* Languages: English oral and written, French would be an asset,
* Knowledge of biotech / pharma and high-level drug development process is a plus, or high interest in scientific area,
* Knowledge of commonly used statistical methods:
o Anova with fixed or random effects, linear regression and ancova,
o Non-linear models,
* R programming,
* Knowledge in Machine learning and model selection.
Skills & Competencies:
* Team player, interest to interact with scientists,
* Proactive and flexible mindset,
* Autonomous,
* Good communication and presentation skills,
* Skills with MS Office.