Research Associate I
City of Hope
Duarte, CA
Job posting number: #7308038 (Ref:10030505)
Posted: May 9, 2025
Application Deadline: Open Until Filled
Job Description
Join the forefront of groundbreaking research at theBeckman 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.
A Research Associate I is available in the lab of Dr. Russell Rockne. Dr. Rockne's research focuses on patient-specific mathematical models of cancer growth and response to therapy. His research lies at the interface of mathematics, imaging, histopathology and genomics, combining information to mathematically model treatment of individual cancer patients, and how their tumors evolve when confronted with specific treatment regimens. Dr. Rockne's personal research goal is to explore the novel hypothesis that mathematical models can quantify and predict individual patient disease dynamics and recurrence resulting from therapy in vivo.
As a successful candidate you will:
· Conduct and oversee laboratory experiments related to neural stem cell treatments.
· Perform data analysis using statistical and computational methods.
· Develop and implement mathematical models to understand and predict treatment outcomes.
· Collaborate with team members to design and optimize experimental protocols.
· Prepare and present research findings at internal meetings and scientific conferences.
· Contribute to the writing of research papers and grant proposals.
· Maintain accurate and detailed records of experiments and analyses.
Your qualifications should include:
· Bachelor’s degree in Neuroscience or Mathematics with 0-2 years of research/laboratory experience
· Strong background in experimental techniques and data analysis.
· Proficiency in mathematical modeling and computational methods.
· Excellent problem-solving skills and attention to detail.
· Ability to work independently and as part of a team.
· Strong written and verbal communication skills.
· Experience with neural stem cell research is a plus.
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, pleaseCLICK HERE.
Salary / Pay Rate Information:
Pay Rate: $25.76 - $29.88 / hour
The estimated pay scale represents the typical [salary/hourly] range City of Hope reasonably expects to pay for this position, with offers determined based on several factors which may include, but not be limited to, the candidate’s experience, expertise, skills, education, job scope, training, internal equity, geography/market, etc. This pay scale is subject to change from time to time.
City of Hope is a community of people characterized by our diversity of thought, background and approach, but tied together by our commitment to care for and cure those with cancer and other life-threatening diseases. The innovation that our diversity produces in the areas of research, treatment, philanthropy and education has made us national leaders in this fight. Our unique and diverse workforce provides us the ability to understand our patients' needs, deliver compassionate care and continue the quest for a cure for life-threatening diseases. At City of Hope, diversity and inclusion is a core value at the heart of our mission. We strive to create an inclusive workplace environment that engages all of our employees and provides them with opportunities to develop and grow, both personally and professionally. Each day brings an opportunity to strengthen our work, leverage our different perspectives and improve our patients’ experiences by learning from others. Diversity and inclusion is about much more than policies and campaigns. It is an integral part of who we are as an institution, how we operate and how we see our future.
