Jobs

[JOB] 💼 Intern in Biostatistics & Data Science (all genders) - Python pipeline to generate biomarker signature candidates

The main objective of this internship is to provide a tool to the biostatistician community to accelerate biomarker signature discovery.

About the job position

Brain&Mind is a French non-profit association, created by l'Institut du Cerveau de Paris, la Fondation Voir&Entendre and la Fondation FondaMental, whose objective is to accelerate innovation in Neuroscience (Neurology, Psychiatry, Sensory Disorders).

The production launch of a new proteomics platform dedicated to Neuroscience is planned by Q4 2026. The technology and the panel of neurological biomarkers (proteomics here) were deeply discussed with various experts, ensuring this platform to be highly sensitive to a large set of biomarkers (proteins here) identified as major in Neuroscience.

In practice, as already performed in clinical trials, a panel of biomarkers is investigated in combination with few clinical covariates & baseline characteristics to discover (see BEST guidance for more information):

• predictive signatures: to identify responders/non-responders of a drug

• prognostic signatures: to identify fast/slow progressors of a disease

• diagnostic signatures: to detect or confirm a condition of interest.

The main objective of this internship is to provide a tool to the biostatistician community to accelerate biomarker signature discovery. All the definitions above have some commonalities and specificities. The idea is to implement a framework within which as many steps as possible are automated with optional settings, while providing tailored outputs.

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Main deliverables

• Flexible, user-friendly & automated pipeline with the following steps:

- Merging of datasets (red section in Fig 1.)

- Data science pipeline (green section in Fig. 1): sequence of elements including resampling, reformating, dimension reduction, implementation of various ML/DL algorithms and prediction for a new patient.

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• Associated HTML reporting with:

- Summary of potential QC steps

- Summary of performance metrics for several algorithms

- Best combinations for biomarker signature candidates

- Interpretability (at local and/or global level)

- Descriptive statistics & involved pathways

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