Reference: DS0124
Contract type: Full time position,fix-term contract
Location: Bordeaux, France
You like to play with large multi-omics datasets and analyze spatial information ? You have an interest in the biological processes involved in the response to cancer immunotherapies ? Keep reading and apply!
About Explicyte
Explicyte is a preclinical and translational contract research organization specialized in immuno-oncology. Our mission is to support 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.
More about us
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.
What you will find at Explicyte
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
Apply now!
