アイカーン医科学校マウントサイナイの疾患神経ゲノミクスセンターのルーソス研究室では、非常に意欲的な博士研究員を募集しています。私たちはシングルセル脳ゲノミクス、機械学習、神経変性疾患の分野に注力しています。このポジションは、人間の疾患と遺伝学の交差点でスキルを活かしたい意欲的で才能ある方にとって、魅力的な機会です。
Employer: Icahn School of Medicine at Mount Sinai
Location: Manhattan, New York City, USA
Closing date: Open until filled
Discipline: Genetics and Genomics, Computational Biology/Bioinformatics, Neuroscience, Psychiatry
Position Type: Full Time
Job Type: Postdoc Fellowship
Organization Type: Academia
The Roussos lab at the Center for Disease Neurogenomics at the Icahn School of Medicine at Mount Sinai is actively seeking a highly motivated Postdoctoral Research Scientist to join our team. We are focused on the fields of single-cell brain genomics, machine learning, and neurodegenerative disorders. This position offers an exciting opportunity for an ambitious and talented individual who is passionate about applying their skills at the intersection of human disease and genetics.
Panos Roussos is a Professor of Psychiatry and Genetics and Genomics Sciences, as well as the Director of the Center for Disease Neurogenomics at the Icahn School of Medicine at Mount Sinai. His research is dedicated to the utilization of neurogenomics and informatics to advance precision psychiatry. The impactful contributions of the lab in the field of mental illness research have been acknowledged with prestigious recognition, including the Presidential Early Career Awards for Scientists and Engineers bestowed by President Obama. The lab has consistently published groundbreaking research in esteemed journals such as Nature Genetics and Nature Neuroscience, establishing its position at the forefront of scientific discovery.
As a successful candidate, you will be part of a dedicated focus group working on the development of machine learning algorithms to unravel the genetic architecture and etiopathogenesis of Alzheimer's disease(AD). Our research involves utilizing multi-scale single-cell profiles of brain transcriptome and regulome affected by Alzheimer disease. In this role, you will have the opportunity to develop novel computational methods for modeling single-cell transcriptome and regulome at different scales, as well as apply state-of-the-art computational tools for omics data analysis and integration. Potential projects may include investigating the impact of human brain immune cells on AD biology, studying neuropsychiatric disorders, deep manifold learning of disease progression, large-scale integration of multi-omic single-cell profiles, and exploring other open questions in single-cell brain omics.
This position offers a chance to develop or enhance your skills in single-cell genomics, machine learning, and big data analytics. You will be working alongside an interdisciplinary team consisting of clinicians, wet lab scientists, bioinformaticians, statistical geneticists, and computational biologists. We provide a stimulating and flexible research environment that promotes career advancement, offering the freedom to pursue your interests, fostering interdisciplinary collaboration, and providing an excellent salary. The ideal candidate should hold a Ph.D. in bioinformatics, computational biology, statistics, mathematics, biophysics, biochemistry, immunology, computer science, or a related field. Strong proficiency and experience in one or more of the following areas are essential: single-cell genomics, machine learning, multi-variable statistics, open-source software development, or bioinformatics. Additionally, excellent programming skills using Python or R, effective communication skills, and a self-motivated and independent approach are highly desirable.
Responsibilities:
Development of new computational methods to advance our understanding of the genetic architecture and etiopathogenesis of Alzheimer disease.
Conducting rigorous and reproducible integrative analysis of large-scale single-cell genomic, transcriptomic, epigenetic, proteomic, and other omics data in both healthy and disease states.
Critical evaluation of state-of-the-art computational tools for omics data analysis and integration.
Development and maintenance of software tools and genetic/genomic/biological databases for annotating and interpreting human genome data.
Publication and presentation of novel research findings in academic journals and conferences.
Requirements:
Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics, Biology, Biomedical Engineering, Computer Engineering, Genetics, Biophysics, Biochemistry, Immunology, or related fields.
Outstanding programming skills in at least two of the following languages on a Linux environment: Python, R, bash, Perl, Java, and C++.
Previous experience in single-cell genomics, machine learning, multi-variable statistics, open-source software development, or bioinformatics is preferred.
Demonstrated experience in designing computational methods and tools, including familiarity with algorithms relevant to computational biology, as well as statistical analysis skills and experience.
Proven track record of delivering complex scientific projects through high-impact factor publications.
Excellent communication and organizational skills with the ability to work independently and collaboratively within a multidisciplinary team.
Google scholar https://scholar.google.com/citations?user=7KqndP4AAAAJ&hl=en&oi=ao
Lab page https://icahn.mssm.edu/research/neurogenomics
If you are interested in this position, please submit your application and CV to Dr. Panos Roussos at panagiotis.roussos@mssm.edu. We look forward to reviewing your application.
