The Song Lab at Icahn school of medicine at Mount Sinai (ISMMS) is seeking talented individuals who can advance the forefront of bladder cancer researches to apply for post-doctoral/Senior Scientist positions in our lab. Our interdisciplinary bladder cancer team led by Dr. Won-Min Song (computational biologist), Dr. Amir Horowitz (cancer immunologist) and Dr. John Sfakianos (urologist) is leading the cutting-edge science to tackle Bacillus Calmette-Guérin (BCG) vaccine resistance in non-muscle invasive bladder cancers (NMIBC). The team has recently secured NCI R01 funding to undertake multi-scale modeling of BCG-resistant NMIBC micro-environment. Under the supervision of Drs. Song and Horowitz, the appointee will lead the efforts to generate and analyze the first single-cell genomic atlas of NMIBC using the state-of-art machine learning and AI-oriented approaches developed by Dr. Song and his team, and identify feasible therapeutic strategies to abolish the BCG resistance.

The Position

This position will help building a collaboration network across multiple institutes and a track record that enables to apply for collaborative research funding and independent research fellowship. Specific roles include (but not limited to) the following:

Essential:

• Lead and carry out research projects in the broad area of systems biology, single-cell multi-omics and spatial genomics,
• Familiarity with molecular network modeling,
• Expertise in cancer genomics,
• Prepare and publish work on scientific journals and present scientific results in national/international conferences.
• Develop and co-supervise research projects for undergraduate and graduate research students.
• Build collaboration with different labs in ISMMS and across multiple institutes/universities at New York and beyond.

Preferred:

• Knowledge in bladder cancer and cancer immunology/immunotherapy,
• Expertise to leverage and apply AI/machine learning techniques

The Person

• A PhD in computational biology, bioinformatics, computer science, physics, mathematics and molecular biology or another closely related scientific discipline,
• Proven research ability, and evidence of self-motivation and research potential
• Demonstrated experience with omics, bioinformatics, systems biology and molecular biology,
• Demonstrated experience with data analytics and statistical modelling of single-cell multi-omics and spatially resolved genomics data,
• Proven ability and commitment to producing high quality work, including at least one first author publication in a high impact journal,
• Proven ability to write and contribute to bioinformatic, computational, statistical, or mathematical research papers,
• Proven excellence in written and oral communications, interacting with a variety of researchers and stakeholders,
• Under-represented groups (see Women, Minorities, and Persons with Disabilities in Science and Engineering: https://diversity.nih.gov/about-us/population-underrepresented) in biomedical sciences are strongly encouraged to apply.
• Familiar with single-cell genomics. Experience with spatial transcriptome is a plus.

Interested and qualified candidates may inquire about positions by submitting a CV, a detailed letter of interest and contact details of three referees to Associate Professor Won-Min Song (won-min.song@mssm.edu).