Staff Scientist - Translational Bioinformatics

Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research.

The collaborative research in the Bild and Nath labs focuses on translational cancer systems biology. The overarching goal of our labs is to develop and validate effective treatment strategies against drug resistant tumors. We are seeking a talented and motivated Bioinformatics Staff Scientist to join our dynamic team. As a Bioinformatics Staff Scientist, you will play a key role in analyzing and interpreting complex biological data, integrating multi-omics datasets, and developing innovative computational methods to extract meaningful insights. Your work will contribute to advancing our understanding of diseases, identifying potential therapeutic targets, and facilitating the development of personalized medicine approaches. For more information about Dr. Nath’s research, please visit here .

As a successful candidate, you will:

• Perform bioinformatics analysis on high-throughput genomic and transcriptomic data.
• Develop and apply computational algorithms and statistical models for data analysis and interpretation.
• Integrate and analyze multi-omics datasets to identify patterns, correlations, and potential biomarkers.
• Collaborate with cross-functional teams including biologists, mathematicians, and medical oncologists to design and execute bioinformatics projects.
• Stay up to date with the latest advancements in bioinformatics and genomics research.
• Contribute to the development of data analysis pipelines and software tools.
• Present findings and results to internal teams and external stakeholders in a clear and concise manner.
• Publish research outcomes in scientific journals and present at conferences.