Senior Research Scientist, Translational Biology
hace 1 mes
At 1113 Celgene Research, we are driven by a singular vision: to revolutionize the lives of patients through the power of science.
In oncology, hematology, immunology, and cardiovascular diseases, our passionate team members contribute to innovations that drive significant changes.
We bring a human touch to every treatment we pioneer. If you share our passion for transforming lives, join us and make a difference.
Our European Research Hub
Located in Seville, Spain, our European research hub is the gateway to the vibrant European research scene.
We are at the forefront of therapeutic innovation, working to transform the lives of cancer patients.
As a computational biologist, you will have the opportunity to dissect the molecular complexity of oncological diseases to drive precise drug discovery and inform drug development.
Your Mission
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 BMS decision-making bodies.
Requirements
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 (experience in building NGS pipelines is not required but is a plus).
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.
1113 Celgene Research is an equal opportunity employer.
Qualified applicants will receive consideration for employment without regard to gender identity, race, color, religion, sexual orientation, national origin or disability
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