Data Scientist (ATX24-06)

Missions

• Propose and implement statistical methods that inform various projects within the company
– Help refine and specify research questions with the R&D team by providing statistical insights, including framing questions in quantitative terms
– Conduct post-hoc statistical analysis to interpret data resulting from internal studies
– Participate in the design of new studies: create and run simulations, compute sample sizes…
– Support the redaction of statistical analysis plans

• Contribute, develop and deploy machine learning algorithms
– Maintain databases up-to-date by incorporating the latest available data, enriching it with new sources, and performing data cleaning to ensure a high level of quality
– Conduct a literature review to identify machine learning approaches tailored to the specific needs of the programs
– Implement such approaches and evaluate them, to surpass the performance of current models, particularly in the context of small datasets
– Implement explainable machine learning approaches

• Conduct scientific monitoring to stay updated on the latest research, trends, and available data in the field
– Participate in identifying relevant clinical and/or omics databases
– Perform literature reviews on specific topics/technologies

 

Technical skills

• Strong understanding of core statistical concepts and methods, including key statistical tests and their
applications
• Proficiency in Python, including standard data manipulation and visualization libraries (Pandas,
Matplotlib, Numpy, Seaborn), as well as machine learning libraries (Scikit-learn, Pytorch, TensorFlow)
• Proficiency in R
• Familiarity with basic Unix commands and environment is a plus
• Prior experience with omics data analysis would be a major plus

 

Personal skills

• Fluency in English is a must-have, French language skills would be a major plus
• Rigorous, with analytical skills, paying attention to details, able to synthesize information
• Excellent organizational and communication skills
• Ability to work both independently and collaboratively in a fast-paced research environment
• Ability to proactively identify and propose solutions to complex problems

 

Professional experience

• Masters/Engineering degree in Statistics, Modelling, Mathematics or Bio-Stat
• Junior level position

 

To apply, please send your CV and cover letter application to jobs@aurobac-tx.com mentioning the reference ATX24-06.

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2024.10.08 ATX24-06 Data Scientist Job Ad