Senior Computational Biologist
hace 2 semanas
Transforming Cancer Treatment at 1113 Celgene Research
At 1113 Celgene Research, we are driven by a singular vision: to revolutionize cancer treatment through cutting-edge science. Our team of passionate researchers contributes to innovative therapies that drive significant changes in the field. We add a human touch to every treatment we pioneer.
Located at Seville, Spain, our research hub is at the forefront of therapeutic innovation, working to transform the lives of cancer patients. We are seeking a computational biologist to join our Translational iPSC team as a Senior Scientist. If you have advanced computational skills and bioinformatic methods, experience with 'omics analysis, and a good understanding of the key concepts in molecular and cellular biology of cancer, we want to hear from you.
Your mission will be to dissect the molecular complexity of oncological diseases to drive precise drug discovery and inform drug development. We encourage applications from individuals engaged in innovative translational research in oncology, whether in clinical, academic, or industrial settings.
Key Responsibilities:
- Use computational methods to identify molecular subtypes with unmet need in oncological diseases.
- Conduct in-depth analyses to uncover the key biological themes and disease mechanisms driving disease subtypes.
- Collaborate with multi-disciplinary teams to pinpoint potential therapeutic targets.
- Contribute to accurately represent key disease states in ex-vivo models and other validation scenarios.
- Work closely with experimental teams in the iterative process of validation of therapeutic candidates and/or mechanistic hypotheses.
- Summarize your findings and report conclusions to 1113 Celgene Research decision-making bodies.
Qualifications:
- PhD with 2+, or MS with 4+ years of experience in computational biology, bioinformatics or related fields.
- Experience in biotech or pharmaceutical industries is a plus.
- Advanced skills in a high-level programming language such as R or Python for data analysis and visualization.
- Expertise in downstream analysis for common NGS data types, such as WGS/WES/panel-seq, bulk RNA-seq, and single-cell RNAseq.
- Basic understanding of disease biology and molecular mechanisms in oncology.
- Expertise in contemporary machine-learning/AI methods is a plus.
- Problem-solving and collaboration skills, with a knack for rigorous and creative thinking.
- Excellent communication, data presentation, and visualization skills.
- Fluent in written and verbal English.
About 1113 Celgene Research:
1113 Celgene Research is an equal opportunity employer
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