Reference: DS0125
Contract type: Full-time position, permanent 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.
Your position
To strengthen our translational research activities and benefit our partners, we are currently looking for a trained Data Scientist with expertise in single-cell analysis.
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 & fresh tumor samples, Peripheral Blood Mononuclear Cells, tumor immune infiltrates, etc.), captured through a range of platforms that include Chromium (10X Genomics) for single cell analysis, Geomx DSP (Nanostring) for spatial transcriptomics as well as Xenium (10X genomics) for in situ single cell analysis.
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
- Proficiency in R programming language (markdown, shiny…) is mandatory. Other languages (Python, Groovy, mySQL…) are a plus
- Experience with scRNA sequencing data analysis and other single-cell technologies.
- Knowledge of basic and multivariate statistics is required
- Monitoring scientific papers to stay up-to-date with latest advancements for analysis
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills.
- Previous experience in a clinical research or bioinformatics environment is required.
Your missions & responsibilities
- Grasp the underlying biological issues and research questions to guide data analysis strategies effectively
- Collaborate closely with the Data Science Director, Study Managers, and interdisciplinary teams to optimally define and refine analysis criteria that align with project objectives
- Collect, process, analyze, and compare large-scale datasets originating from diverse sources, including bulk and spatial single-cell genomics
- Utilize existing bioinformatics tools and develop novel solutions as necessary to facilitate comprehensive data mining and analysis, encompassing large-scale data integration, supervised and unsupervised learning, statistical modeling, genomic analysis, and deep learning techniques
- Generate and run data analysis reports that support research teams in delivering study outcomes that meet project requirements and adhere to established deadlines
- Contribute to scientific publications as necessary
Apply now!