Staff Scientist - Computational Data Sciences Shared Resource

City of Hope•Duarte, CA

About The Position

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.

Requirements

PhD or equivalent degree in bioinformatics, computational biology, mathematics, physics, engineering, computer science, or a related quantitative discipline; Or equivocal demonstrated track record through publications and prior work experience.
Demonstrated expertise in computational methods used in biomedical and translational research.
Experience working with multi‑omics datasets (e.g., genomics, transcriptomics, proteomics, single‑cell, imaging).
Strong programming proficiency in relevant languages (e.g., R, Python, MATLAB, Bash) and experience using HPC or cloud environments.
Proven ability to collaborate effectively with interdisciplinary teams, including bench scientists and clinical researchers.
Strong analytical, problem‑solving, and communication skills, including experience presenting scientific results.
Track record of contributing to peer‑reviewed publications.

Nice To Haves

Experience preparing analysis documentation, reports, or grant‑related materials preferred.
Familiarity with peer review funding mechanisms is desirable but not required.

Responsibilities

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.