Staff Scientist - Computational Data Sciences Shared Resource

City of Hope•Duarte, CA

About The Position

The Staff Scientist provides 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, the role delivers expert services in bioinformatics, multi-omics data analysis, computational biology, predictive modeling, and computational oncology. The position is a senior technical and scientific contributor who collaborates with research teams to design studies, analyze data, interpret results, and support grant development. It also contributes to implementing and maintaining analytical pipelines, training users, and ensuring that core services meet CCSG expectations for rigor, reproducibility, and impact. The role supports core operations through service-process improvements, reporting, computational infrastructure collaboration, and planning for staffing and equipment.

Requirements

PhD or equivalent degree in bioinformatics, computational biology, mathematics, physics, engineering, computer science, or a related quantitative discipline; alternatively, a 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, such as genomics, transcriptomics, proteomics, single-cell, or imaging data.
Strong programming proficiency in relevant languages such as R, Python, MATLAB, or Bash.
Experience using high-performance computing (HPC) or cloud environments.
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.
Familiarity with peer review funding mechanisms.

Responsibilities

Provide high-level analytical support across genomics, transcriptomics, proteomics, imaging, and clinical or translational datasets.
Implement, maintain, and document computational workflows and pipelines that support robust, reproducible analyses.
Consult with investigators on study design, computational strategies, data quality, and interpretation of results.
Develop and apply computational methods, including machine learning and mathematical modeling approaches.
Prepare analysis reports, figures, and methods documentation, and contribute to manuscripts and grant applications.
Collaborate 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 computational infrastructure required for core operations.
Maintain scientific integrity, confidentiality, and compliance with institutional data governance policies.
Develop staffing plans and equipment acquisitions to support sustainability and innovation in core operations.