Postdoctoral Fellow - Computational Cancer Biology

City of Hope • Duarte, CA

110d

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. The Nath lab is seeking applicants for a postdoctoral position in computational cancer biology. Our lab aims to enhance cancer treatment outcomes through two main research areas: * Investigating the biological mechanisms underlying tumor progression: We use single-cell and bulk multiomic techniques to profile tumor samples, focusing on resistance mechanisms in breast cancer, glioblastomas, colon cancer, and lung cancer. * Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic data and health record information, to develop predictive models for drug response. Furthermore, we work on creating new treatment stratification methods to personalize treatment for individual patients.

Requirements

• Ph.D. in bioinformatics, computational biology, or genetics.
• Strong fundamentals in cancer biology and basic statistics are essential.
• Proficiency in programming languages like Python/R and omic data analysis is encouraged.
• Experience with machine learning algorithms is advantageous.

Nice To Haves

• Applicants with a wet lab background who are highly motivated to receive training in computational biology are also welcomed.

Responsibilities

• Collaborate closely with experimental scientists, mathematicians, and medical oncologists/surgeons to plan, design, and execute computational analyses.
• Advance the integration of multi-omics and clinical datasets to uncover mechanisms of tumor evolution, therapeutic resistance, and potential biomarkers.
• Contribute to the development of data analysis pipelines and software tools as a key aspect of this role.
• Stay updated on the latest advancements in bioinformatics and genomics research and present findings to internal teams and external stakeholders, while also publishing research outcomes and presenting at conferences.
• Work with the PI to develop a career development plan and participate in various career advancement opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Hospitals
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees