Mots-Clés

Oncology, spatial transcriptomic, digital pathology, scRNAseq

Description

About Explicyte
Explicyte is a preclinical and translational contract research organization specialized in immuno-oncology. Our goal is to assist academics, biotechs and pharmas in the discovery of novel targets and novel cancer immunotherapies.
With a team of 25, we’re a human-sized company, which brings under the same roof cell biologists, immunologists,medical oncologists and bioinformaticians. Focused on sponsors’ projects, our activity also involves in-house R&D and external collaborations, which led to the publication of 30+ papers in high impact-factor journals.
Based in Bordeaux, our lab is located at the Bergonié Comprehensive Cancer Center, where we work in close contact with medical oncology teams. We believe Explicyte is a place to learn, grow, and have impact in the fight against cancer.

Your position
To strengthen our translational research activities and benefit our partners, we are currently looking for an experienced Data Scientist.
In your role, you will be accountable for data mining & analysis in relation to sponsors’ and R&D studies. You will play with data from various biological samples (e.g. FFPE tumor samples, Peripheral Blood Mononuclear Cells, tumor immune infiltrates, plasmas, etc.), captured through a wide range of tools and platforms such as Immunohistochemistry (IHC)/Immunohistofluorescence (IHF), spatial transcriptomics, flow cytometry, gene expression profiling (RNAseq, TCRseq, scRNAseq) or proteomics and metabolomics.
You will interact with the translational team, and will report to the Chief Technology Officer.

Your skills & traits
Post-graduate degree (MSc/PhD) in computational biology, in bioinformatics, or biostatistics
Strong experience in multi-omics data analysis, using genomic, transcriptomic, and other -omics datasets
Proficiency in R programming language (markdown, shiny…) is mandatory. Other languages (Python, Groovy, mySQL…) are a plus
Expertise in analysis softwares, such as Inform, Qupath, FlowJo, CellRanger
Knowledge of basic and multivariate statistics is required
Ability to conceptualize desired tables and graphs and codebase as needed
Experience in cloud computing (AWS, Azure etc…) and database development (mySQL)
Ability to adapt activities and priorities to challenging deliverables
Fluency in written and oral English
Good interpersonal and collaborative skills

Your missions & responsibilities
Understand the biological issues and the questions asked
Interact with the Data Science Director, the Study Managers or the collaborating teams for the optimal definition of the analysis criteria
Collect, process, analyze and compare large-scale datasets from various origins (images, genomics, proteomics, metabolomics, etc.)
Use pre-existing bioinformatics tools and develop new ones as needed to enable data mining and analysis (large-scale data analysis and integration, supervised or unsupervised learning, statistics, genomic analysis, modeling, deep learning, etc.)
Provide documentation of procedures to describe the analytical strategies
Run data analysis reports to support teams to provide study deliverables that meet project’s requirements and deadlines
Have a theoretical understanding of data analysis algorithms, and be up to date with literature review to be at the forefront of developments in data analysis methods