The Department of Neurosurgery is seeking a highly experienced Postdoctoral Scientist/Fellow or Staff Scientist (Computational Biology) to join the Tran group and the Computational Genomics Core of the Keck USC Brain Cancer Center. Artificial Intelligence (AI) and Machine Learning (ML) can significantly speed up understanding cancer biology, improve patient treatment and survival. We focus on developing applications of AI/ML and Deep Learning (DL) in elucidating molecular mechanisms of cancer development, therapeutic resistance, multi-omics disease modeling, and survival outcome modeling as dependence on treatment. We apply network analysis and AI/ML to bulk RNA seq, single-cell RNA data, and other multi-omics data, including DL-based imaging and bioimaging data.

The successful candidate will have extensive experience in applications of ML/AI in solving biological problems. Strong expertise in advanced statistics and AI/ML with a track record of publications is preferred. The candidate will analyze and develop models of cancer development and patient survival  single cell RNA seq, multi-omics NGS as well as clinical and biomedical data generated by the Brain Tumor Center labs as well from public repositories. The candidate will constantly update recent developments in computational biology and state-of-the-art of AI/ML/DL algorithms and research results.

• A PhD in Bioinformatics, Biostatistics, Biophysics, Computational Biology, Computer Science, Cancer Biology, Molecular Biology, Biochemistry, Organic Chemistry, Mathematics, Engineering Sciences or relevant fields.
• 3+ years of experience with a strong record of accomplishments and project experience in applications of AI/ML in biological systems.
• A strong background and/or prior hands-on experience in experimental biology is highly desirable.
• Prior experience in working with NGS data and/or single cell RNA seq data.
• Familiarity with advanced statistics, machine learning, and deep learning.
• Proficiency in Python with R.
• Familiarity with Linux command, HPC or cloud computing.
• Good oral and written communication skills in English.
• The ability to learn new algorithms.
• The ability to collaborate with biomedical scientists.

Salary range

• The annual base salary range for this position is $100,973.00 – 117,597.00  When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

How to Apply:

The position is for 3 years with the possibility for extension. We provide competitive salary and benefits. Compensation will be based on the NIH guidelines with cost-of-living adjustments and commensurate with experience). To apply, please send an email to Dr. Tran (David.tran@med.usc.edu) with a current CV and contacts for 3 references, and a brief description of training background and career plans.

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About University of Southern California (USC)

USC is the leading private research university in Los Angeles—a global center for arts, technology and international business. With more than 47,500 students, we are located primarily in Los Angeles but also in various US and global satellite locations. As the largest private employer in Los Angeles, responsible for $8 billion annually in economic activity in the region, we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills across a variety of academic and professional schools and administrative units. As a USC employee and member of the Trojan Family—the faculty, staff, students, and alumni who make USC a great place to work—you will enjoy excellent benefits, including a variety of well-being programs designed to help individuals achieve work-life balance.

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