Postdoctoral Fellow - Computational Cancer Biology
Updated: March 28
Duarte
Apply with City of Hope National Medical Center
0
0mi
Job Abstract
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 p... more details
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.
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.
Qualifications
Your qualifications should include:
Ph.D. in bioinformatics, computational biology, or genetics.
Applicants with a wet lab background who are highly motivated to receive training in computational biology are also welcomed.
Strong fundamentals in cancer biology and basic statistics are essential.
Applicants are encouraged to demonstrate proficiency in programming languages like Python/R and omic data analysis.
Experience with machine learning algorithms is advantageous.
Additional Information:
Applicants are required to submit a CV accompanied by a cover letter outlining how their career objectives align with the research conducted in our lab. Please indicate the expected graduation date if applicable.
The candidate's CV should include a detailed list of preprints/publications, along with the names and contact information of three potential referees.
City of Hope is an equal opportunity employer. To learn more about our commitment to diversity, equity and inclusion, please click here.
To learn more about our Comprehensive Benefits, please CLICK HERE.
Job Abstracts is an independent Job Search Engine. Job Abstracts is not an agent or representative and is not endorsed, sponsored or affiliated with any employer. Job Abstracts uses proprietary technology to keep the availability and accuracy of its job listings and their details. All trademarks, service marks, logos, domain names, and job descriptions are the property of their respective holder. Job Abstracts does not have its members apply for a job on the jobabstracts.com website. Additionally, Job Abstracts may provide a list of third-party job listings that may not be affiliated with any employer. Please make sure you understand and agree to the website's Terms & Conditions and Privacy Policies you are applying on as they may differ from ours and are not in our control.
Page Limit Reached
Paging is limited to 5 pages for our non registered users. To use this feature you must be Registered and Logged In.
Any time you conduct a search, the system shows you job matches, ranked by their Relevance Score (RS).
The score is calculated by a proprietary algorithm that uses Intelligent Machine Learning.
The Relevance Score tells you how well the job opportunity matches your search term or terms.
When not logged in, the system is limited to one search term. Scores for single term matches are usually lower.
When you register, log in, and set up multiple terms prioritized by importance, the jobs found for you will receive a much higher Relevance Score.