About City of Hope

City of Hope, an innovative biomedical research, treatment and educational institution with over 6,000 employees, is dedicated to the prevention and cure of cancer, type 1 diabetes, type 2 diabetes and other life-threatening diseases and guided by a compassionate, patient-centered philosophy.

City of Hope has one of the most influential type 1 and type 2 diabetes research programs in the world. Our scientists’ work has revolutionized the understanding and treatment of the disease and continues today with exciting developments in cell transplantation, gene regulation, immune tolerance and gaining systemic understanding of diabetes as a complex, multifaceted disease.

To learn more about our exciting research and accomplishments in the field of Diabetes, please visit https://www.cityofhope.org/research/diabetes-metabolism-research-institute

Position Summary

The Arthur Riggs Diabetes & Metabolism Research Institute at City of Hope is looking for a talented postdoctoral fellow.  The collaborative laboratories of Drs. John Kaddis and Bart Roep are jointly seeking innovative postdoctoral candidates to conduct in-silico translational research in the field of type 1 diabetes (T1D).  This individual will participate in one or more projects that examine the role of molecular, cellular, genetic, and epidemiological variation in T1D.  This candidate will have an opportunity to work with specialists in the fields of immunology, diabetes, and data/computer science.  Expertise in statistical methods for disease risk prediction and modeling, as well as clinical data, genome sequence, SNP array, “-omics”, and large-scale genetic association analysis is helpful. Experience with public databases/repositories is highly desired.   Necessary skills include those from bioinformatics, computer/data science, mathematics, software engineering, and computational biology. This individual will be housed in the Kaddis laboratory. 

Basic education, experience and skills required for consideration:

• A Ph.D., or equivalent, degree with research experience in a scientific field of study.  Examples include biological sciences, bioinformatics, mathematics, computer science, information science, or related field of study
• Computational and/or statistical skills with a high degree of proficiency in one or more programming languages, such as R (preferred), SAS (preferred), SCALA, Perl, Python, SQL, Java, Javascript, C/C++, dot.net, or MATLAB.
• Ability to clearly document, organize, and track code, e.g. use of markdown, jupyter notebooks, github/gitlab. 
• Understanding of data analysis pipelines, e.g. next generation sequencing experiments
• Domain knowledge in diabetes and/or immunology
• Experience in science and data quality assessment
• Knowledge of biological and public access data sources (e.g. dbGaP, SRA, NCBI, EMBL-EBI, etc.)
• Familiarity or experience in Unix/Linux, cluster, or cloud (Azure, AWS, Google) computing environments
• Experience with analyzing genetic, omics, and clinical datasets is beneficial
• Ability to work independently and as a part of research team
• High motivation and desire to be part of multidisciplinary group
• Excellent interpersonal and communication skills (written and verbal)
• Experience with modeling, statistical and exploratory data analysis techniques

Additional Information:

• Please submit your current CV/resume along with a cover letter highlighting your research accomplishments, a brief statement explaining how your past research ties in with the goals of our laboratories, and future career plans.
• For more information on Dr. John Kaddis’ research please visit here
• To protect the health of patients and staff and to comply with new State of California mandates, City of Hope staff are required to show proof of full vaccination by September 30, 2021.  Compliance is a condition of employment.   

City of Hope is committed to creating a diverse environment and is proud to be an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.

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