Postdoctoral Fellow - Computational Systems Biology

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.

We seek a motivated and talented Postdoctoral Fellow to join Dr. Andrei Rodin’s laboratory in the Department of Computational and Quantitative Medicine, Beckman Research Institute.

The Postdoctoral Fellow will be working in a highly collaborative group on a variety of multidisciplinary research projects with a common theme of developing and applying interpretable AI / machine learning / deep learning / information-theoretic methods and algorithms in the context of multiscale biological networks, ranging from molecules (protein chemistry) to genes (spatial transcriptomics) to tissues (digital pathology) to individuals (cancer immunotherapy response) to systems (social determinants of health). Our research projects are supported by outstanding collaborators, robust core facilities, and the availability of unique multimodal biomedical datasets.

For more information about Dr. Rodin’s lab, please visit here.

As a successful candidate, you will:

• Develop and apply novel computational methodologies.
• Regularly communicate and interact with the other team members.
• Submit abstracts to scientific meetings, present and discuss research findings.
• Write and submit manuscripts for publication.
• Write and submit grants and grant progress reports.

Your qualifications should include:

• Ph.D. or M.D. degree in quantitative disciplines, such as computational biology, computational medicine, statistical genetics, biostatistics, computational chemistry, computer science, physics, statistics, mathematics, or applied mathematics.
• Substantial coding experience (Python, C/C++/C#/etc.).
• Fundamental understanding of, and practical experience with AI / machine learning / deep learning (TensorFlow, Keras, scikit-learn, PyTorch, etc.).
• Experience with big data analysis, high-performance computing, and statistical methodologies.
• Excellent written and verbal communication skills.
• Publications in peer-reviewed journals.
• Previous experience in biomedical 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 commitment to diversity, equity and inclusion, pleaseclick here.

To learn more about our Comprehensive Benefits, pleaseCLICK HERE.

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