Staff Scientist - Computational Data Sciences Shared Resource

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.

We are looking for a Staff Scientist for the Computational Data Sciences Shared Resource. You will provide advanced analytical, computational, and scientific support for research programs across City of Hope, including cancer, diabetes, and broader translational sciences. Working under the leadership of the Shared Resource Director, this position delivers expert services in bioinformatics, multi‑omics data analysis, computational biology, predictive modeling, and computational oncology.

You will function as a senior technical and scientific contributor, collaborating directly with research teams to design studies, analyze data, interpret results, and support grant development. You will also contribute to implementing and maintaining analytical pipelines, training users, and ensuring that core services meet CCSG expectations for rigor, reproducibility, and impact.

Core Services:

· Bioinformatics, multi‑omics data analysis & QC

· Computational biology, predictive modeling, and AI/ML methods

· Data visualization, results interpretation, and collaborative consulting

· Training, documentation, and data science literacy support

As a successful candidate, you will be:

· Provide high‑level analytical support across genomics, transcriptomics, proteomics, imaging, and clinical/translational datasets.

· Implement, maintain, and document computational workflows and pipelines that ensure robust, reproducible analyses.

· Consult with investigators on study design, computational strategies, data quality, and interpretation of results.

· Develop and apply innovative computational methods, including machine learning and mathematical modeling approaches.

· Prepare analysis reports, figures, methods documentation, and contributions to manuscripts and grant applications.

· Collaborate closely with the Director to improve service intake processes, ensure timely delivery, and maintain user satisfaction.

· Support compilation of metrics, service logs, and impact summaries for CCSG reporting and institutional reviews.

· Contribute to workshops, training sessions, documentation, and efforts to build computational capacity among research teams.

· Work with IT and informatics partners to support the computational infrastructure required for core operations.

· Maintain a high standard of scientific integrity, confidentiality, and compliance with institutional data governance policies.

· Develop staffing plans, and equipment acquisitions to ensure sustainability and innovation in core operations.

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.

We are looking for a Staff Scientist for the Computational Data Sciences Shared Resource. You will provide advanced analytical, computational, and scientific support for research programs across City of Hope, including cancer, diabetes, and broader translational sciences. Working under the leadership of the Shared Resource Director, this position delivers expert services in bioinformatics, multi‑omics data analysis, computational biology, predictive modeling, and computational oncology.

You will function as a senior technical and scientific contributor, collaborating directly with research teams to design studies, analyze data, interpret results, and support grant development. You will also contribute to implementing and maintaining analytical pipelines, training users, and ensuring that core services meet CCSG expectations for rigor, reproducibility, and impact.

Core Services:

· Bioinformatics, multi‑omics data analysis & QC

· Computational biology, predictive modeling, and AI/ML methods

· Data visualization, results interpretation, and collaborative consulting

· Training, documentation, and data science literacy support

As a successful candidate, you will be:

· Provide high‑level analytical support across genomics, transcriptomics, proteomics, imaging, and clinical/translational datasets.

· Implement, maintain, and document computational workflows and pipelines that ensure robust, reproducible analyses.

· Consult with investigators on study design, computational strategies, data quality, and interpretation of results.

· Develop and apply innovative computational methods, including machine learning and mathematical modeling approaches.

· Prepare analysis reports, figures, methods documentation, and contributions to manuscripts and grant applications.

· Collaborate closely with the Director to improve service intake processes, ensure timely delivery, and maintain user satisfaction.