POSTDOCTORAL FELLOW - COMPUTATIONAL CANCER BIOLOGY - 10025415

Duarte, CA

City of Hope is an independent biomedical research and treatment center for cancer, diabetes and other life-threatening diseases.

Founded in 1913, City of Hope is a leader in bone marrow transplantation and immunotherapy such as CAR T cell therapy. City of Hope’s translational research and personalized treatment protocols advance care throughout the world. Human synthetic insulin, monoclonal antibodies and numerous breakthrough cancer drugs are based on technology developed at the institution. AccessHope™, a wholly owned subsidiary, was launched in 2019 and is dedicated to serving employers and their health care partners by providing access to City of Hope’s exceptional cancer expertise.

A National Cancer Institute-designated comprehensive cancer center and a founding member of the National Comprehensive Cancer Network, City of Hope is ranked among the nation’s “Best Hospitals” in cancer by U.S. News & World Report and received Magnet Recognition from the American Nurses Credentialing Center. Its main campus is located near Los Angeles, with additional locations throughout Southern California and in Arizona.

Pay Rate: $34.0 - $37.55 per hour

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.

More information about the lab can be found here: https://www.nathlab.org

As a successful candidate, you will:

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.

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.

POSTDOCTORAL FELLOW - COMPUTATIONAL CANCER BIOLOGY - 10025415

Duarte, CA

Apply now

City of Hope is an independent biomedical research and treatment center for cancer, diabetes and other life-threatening diseases.

Pay Rate: $34.0 - $37.55 per hour

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.

More information about the lab can be found here: https://www.nathlab.org

As a successful candidate, you will:

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.

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.

PHYSICIAN ASSISTANT - HEAD AND NECK - 10027123

PHYSICIAN RELATIONS LIAISON - OC HYBRID - 10026876

PROFESSOR, IMPLEMENTATION SCIENCE AND DIRECTOR, DIVISION OF HEALTH EQUITY - 10026872

POSTDOCTORAL FELLOW OR STAFF SCIENTIST - PROTEIN CHEMISTRY, CRYSTALLOGRAPHY AND STRUCTURE DETERMINATION - 10027093

RESEARCH ASSOCIATE II - CANCER BIOLOGY AND MOLECULAR MEDICINE - 10027094

TECHNOLOGY SPECIALIST - AV - 10026609

DEI PROGRAM MANAGER, EMPLOYEE RESOURCE GROUPS - 10026977

STAFF SCIENTIST - TUMOR IMMUNOLOGY - 10026834

SPECIAL PROCEDURES TECHNOLOGIST - INTERVENTIONAL RADIOLOGY - 10027038

CONTACT CENTER REP II - OC - 10026896