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Bio Job
[포스닥 연구원 모집]
등록일 Nov 05,2021 | 작성자 | 조회수 98
The Song Lab at Icahn school of medicine at Mount Sinai (https://labs.icahn.mssm.edu/songlab/)
is seeking talented individuals who can fulfill the responsibilities and requirements below to apply for post-doctoral positions in our lab.

Our interdisciplinary team led by Associate Professor Won-Min Song applies network
theory and systems biology to large-scale multi-omics data, generated from human
cohorts to individual cells from complex genetic diseases. Our projects include cancer
genomics (melanoma: https://www.nature.com/articles/s41467-021-21457-0, gastric:
https://onlinelibrary.wiley.com/doi/10.1002/ijc.32643, liver: https://www.cell.com/cancer-
cell/fulltext/S1535-6108(16)30546-3)
, and development of novel modeling algorithms
(https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004574).

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:
1. Develop novel molecular network inference algorithm to integrate bulk and
single-cell sequencing data,
2. Lead and carry out research projects in the broad area of systems biology, and
single-cell multi-omics.
3. Prepare and publish work on scientific journals and present scientific results in
national/international conferences.
4. Develop and co-supervise research projects for undergraduate and graduate
research students.
5. Build collaboration with different labs in ISMMS and across multiple
institutes/universities at New York and beyond.

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 omics
data, particularly in application of network modeling of large-scale 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,
- 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).