We are recruiting postdoctoral scholars with expertise in Statistical Genomics, Multi-Omics, and Machine Learning. Responsibilities include:
1. Lead at least 2 high-impact projects that will translate to substantial scientific and clinical advancement.
2. Become an expert in at least 1 high-dimensional data type, 1 computational/data science approach, and 1 biological/medical domain. Utilize your expertise to guide and collaborate with colleagues in and out of the lab for co-authorship opportunities.
3. Present scientific results through well-written manuscripts, grant proposals, and oral presentations.
4. Help build and maintain an environment promoting our core values: integrity, curiosity, persistence, teamwork, and innovation.
5. Respect and have fun with colleagues. We are here to have a great time while making discoveries!
At the Computational Omics | Huang Lab, you will focus on using Multi-Omics and Machine-Learning (ML) approaches to address key challenges in age-related human diseases, including Cancer and Neurodegeneration (ex. Alzheimer’s). Our team has established extensive networks in national consortia and internal/external collaborations, including unique DNA-Seq datasets for a million Mount Sinai individuals, that you can build upon for collaboration and career advancement opportunities. We welcome individuals from all backgrounds with relevant skill sets to apply and will consider specific research proposals.
Since 2020, the lab has established a hybrid work policy that ensures flexibility, productivity, and collaboration. We also offer competitive salaries (15K above NIH guidelines) and discounted postdoc housing in New York City.
PhD in genomics, computational biology, and computer/data science (or related fields)
Enthusiasm for teamwork and science communication
Lead-author or significant contribution to peer-reviewed research articles
If you are interested, please send your CV, GitHub (or code), and demo of one project that you are proudest of (from any field) to kuan-lin.huang [AT] mssm.edu