Research engineer in data analysis W/M

About us

The university of Bordeaux is a great dynamic and responsible university that cares about the well-being of its staff. Joining us means working in a privileged environment within a particularly diverse and open professional community, benefiting from welcome and inclusion schemes, training and internal mobility. It means participating in an academic, scientific and human adventure. It means committing to meeting the challenges of the 21st century.

Bordeaux Neurocampus is among the leading European research centers in neuroscience, spanning from molecular to clinical levels. Join the Sleep, Addiction, Neuropsychiatry (SANPSY) unit!

The Addiction team of the SANPSY laboratory studies addiction in humans through both fundamental mechanistic research and clinical studies. Using wearable digital tools (smartphone applications, wearable sensor devices), the team specializes in the study of behaviors and risk factors in real-life settings. Its research covers both substance-related (tobacco, alcohol, illicit drugs) and behavioral addictions (gambling, internet, etc.), supported by strong collaborations with local and regional addiction care services.

Mission

Your mission will be to translate scientific questions into statistical analysis strategies. You will have to design and then carry out analyses and produce reports detailing the methodologies used as well as the results obtained, with a view to supporting scientific publications.

You will ensure the quality, structuring and valorization of data, and perform advanced statistical analyses: multilevel models for longitudinal EMA data, extraction of characteristics/features from physiological data (signal processing), as well as modeling in machine learning.

Data Management and Structuring

• Centralization, organization, and documentation of multimodal databases (EMA, physiological sensors)
• Implementation of data management pipelines (import, merging, longitudinal structuring)
• Ensuring data traceability, quality, and security
• Contribution to the development of Data Management Plans (DMP)

Data Cleaning and Preparation

• Detection and processing of outliers, missing, or inconsistent data
• Temporal synchronization of EMA and physiological data
• Transformation and creation of derived variables (features)
• Standardization of datasets for statistical and machine learning analyses

Statistical Analyses (R)

• Conducting descriptive and inferential analyses
• Development of multilevel models for longitudinal EMA data
• Contribution to scientific reports and publications
• Data visualization and reporting

Advanced Analyses and Machine Learning (Python)

• Feature extraction from physiological data (signal processing)
• Development and validation of machine learning models
• Implementation of reproducible analysis pipelines
• Evaluation of model performance and interpretation of results

Profil

Holder of a Master’s degree or a PhD in Neuroscience, Mathematics, Cognitive Sciences, Psychology or Biostatistics, you have a solid experience in statistics and the translation of scientific questions into statistical analysis strategies.

• You are rigorous and autonomous
• You demonstrate initiative, proposal strength and know how to identify the appropriate analytical approaches to answer complex research questions
• You are endowed with a proactive and innovative mindset
• You master R and Python
• You like to learn new skills
• You are recognized for your communication skills with various actors
• You are proficient in technical English (B2 level)

More Information

Based in Bordeaux, Gironde - FRANCE – access by tramway line A (stop “Hôpital Pellegrin”) buses, bike. The laboratory is near the city‑centre of Bordeaux and about 60 Km of the Atlantic coasts. 7‑month fixed‑term contract. Gross monthly salary: from 2460€ to 2700€ according to experience and salary grid.

What We Offer

• A training course adapted to support your job taking‑up and your professional development
• Up to 50 days of annual leave from the first year (in proportion to the arrival date)Remote work possible depending on the organization of the service
• Participation in complementary social protection and access to social action mechanisms
• 75% coverage of the public transport subscription in Gironde
• Sustainable mobility package for home trips–work
• Access to a staff parking
• Leisure, sport and culture offers for all staff