Part Time Biomedical Engineering Jobs in California

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 seeking a highly motivated Research Associate I to support biostatistics, data science, and quantitative research activities across a diverse portfolio of cancer research studies. Working directly under the supervision and mentorship of a PhD biostatistician, you will contribute to observational cohort studies, clinical trials, and translational research projects involving clinical, behavioral, wearable-device, and molecular datasets. You will support analyses of large-scale epidemiologic cohorts, clinical trial data, and emerging multi-modal datasets to advance research in cancer prevention, survivorship, and exercise oncology.

This position may be remote, in person, or hybrid at our campus in Duarte, CA, depending on candidate location and program needs.

This position provides an excellent opportunity for individuals interested in developing experience in biostatistics, data science, epidemiology, public health, or biomedical research while contributing to high-impact cancer research. You will gain hands-on experience in statistical programming, data science, reproducible research, and scientific publication.  This position is particularly well suited for recent graduates and individuals preparing for graduate training in biostatistics, statistics, data science, epidemiology, public health, or related quantitative disciplines who are seeking hands-on research experience in an academic cancer research environment.

Position Hours

This position is expected to be part-time, requiring approximately 10-15 hours per week.

As a successful candidate, you will:

·         Clean, validate, harmonize, and manage research datasets from clinical trials, observational studies, and population-based cohorts.

·         Perform statistical programming, data management, and data visualization using the R statistical programming language.

·         Develop reproducible analytical workflows and collaborative projects using Git and GitHub.

·         Generate publication-quality tables, figures, reports, dashboards, and presentations.

·         Assist with statistical analyses and interpretation of research findings.

·         Support preparation of manuscripts, abstracts, grant applications, scientific presentations, and other research products.

·         Maintain detailed documentation of datasets, analytical methods, workflows, and project activities.

·         Support development of internal and open-source R packages

·         Collaborate with investigators, clinicians, research coordinators, and other members of multidisciplinary research teams.

·         Assist with literature reviews and evidence synthesis activities.

·         Prepare analytic datasets, data dictionaries, codebooks, and study documentation.

·         Participate in team meetings and contribute to ongoing research projects.

Your qualifications should include:

·         Bachelor’s degree in Statistics, Biostatistics, Data Science, Mathematics, Computer Science, Epidemiology, Public Health, Bioinformatics, or a related quantitative field.0-2 years of research/laboratory experience

·         Proficiency in R for data cleaning, statistical analysis, and data visualization.

·         Experience using Git/GitHub for version control and collaborative research projects.

·         Experience working in Linux/Unix command-line environments.

·         Strong quantitative, analytical, and problem-solving skills.

·         Strong written and verbal communication skills.

·         Strong organizational skills and attention to detail.

·         Ability to manage multiple projects and deadlines simultaneously.

·         Demonstrated ability to work independently while collaborating effectively within a team environment.

City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.

City of Hope is an equal opportunity employer.

To learn more about our Comprehensive Benefits, please CLICK HERE.