Research Fellow -Quantitative Health Science - Sung lab

The Computational Precision Medicine & Surgery Group at Mayo Clinic (Rochester, MN, USA), led by Dr. Jaeyun (Jae) Sung, invites applications for a fully funded postdoctoral research fellow position. The candidate for this position is expected to lead our efforts in systematically analyzing, integrating, and modeling the tremendous amount of longitudinal, multi-omic data currently being generated at Mayo Clinic. These de-identified data sources include gut microbiomes, metabolomes, proteomes, immune cell profiles (CyTOF), bulk/single-cell/spatial transcriptomes, and clinical metadata.  For more information about our laboratory, please visit: www.sung-lab.org

What we do and what to expect:

We aspire to deeply explore and understand human disease complexity with the overall aim to solve the most challenging computational problems in precision medicine. The candidate can expect to work in one of the group’s main research directions, which include but not limited to: 1) omics data analysis for AI/ML-based clinical biomarker discovery; 2) in silico models of multi-omic disease networks; 3) gut microbiome in autoimmune inflammatory diseases; and 4) chemical ecology and drug metabolism of gut microbial communities. For these, the candidate will be mentored by Dr. Sung and physician-scientist investigators at Mayo Clinic. In addition, he/she will have access to a wealth of resources including high-quality clinical data, a state-of-the-art high-performance computing facility, and the latest sequencing platforms.

If interested in joining, please email Dr. Sung with your CV, contact information of two individuals who can provide strong reference letters, PDFs of your representative publication(s), and a brief personal statement describing: your general research interests, previous experience, career goals, and specific research direction you’d like to pursue in our group and why.

• Ph.D. in one of the following fields: computational biology, bioinformatics, biostatistics, biophysics, biochemistry, or relevant engineering disciplines. Ph.D. candidates expecting to graduate soon are also encouraged to apply.
• A strong interest in clinical and translational research.
• Prior experience working with any omic dataset relevant to microbiology or immunology, as demonstrated through past research publications.
• Excellent written and verbal communication skills, strong ability to independently and creatively solve research problems, while being able to work effectively in teams composed of principal investigators and group members.
• Familiarity with programming languages commonly used in data science (R and/or Python), Linux shell scripting, and standard bioinformatics tools.