Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Postdoctoral in Bioinformatics and Computational Biology, AMNH

    Postdoctoral Fellowships in Bioinformatics and Computational Biology

    The American Museum of Natural History seeks highly qualified applicants for a postdoctoral position for its Gerstner Postdoctoral Scholars program in Bioinformatics & Computational Biology.

    Successful applicants will pursue independent and collaborative computational research in integrative studies of genomics, spatial bioinformatics, or biodiversity informatics alongside faculty and other researchers. This program encourages applications from scholars with research interests that may have broad implications for such themes as advancing our understanding of the evolution and diversity of species, the "tree of life", or comparative genomics. This 2022-23 application cycle also includes a special call for applicants who want to pursue museum-centered comparative biology research that also is relevant to human health or biomedicine, including but not limited to virology, epidemics, and public health; collections-based research to investigate the origin, spread, and/or comparative biology of emerging zoonotic pathogens, infectious diseases and their vectors, etc.

    Gerstner Scholars in Bioinformatics & Computational Biology (GSB&CB) also will contribute to the design, development and implementation of new algorithms and other bioinformatics tools that address emerging big data issues and are customized for Museum research. In association with their professional development and contributions to the Museum, a portion of each Scholars’ efforts will include teaching and workshops (with theRichard Gilder Graduate Schooland Sackler Institute for Comparative Genomics) and assistance to Museum scientists and students with their bioinformatics and computational biology research through participation in the Museum’s Bioinformatics Core Team.

    The initial appointment will be for one year, potentially renewable for up to one additional year based on performance, with a highly competitive salary ($81,969 annually) and generous benefits.

    Requirements: Applicants must have a PhD in Biological Sciences, Bioinformatics, Computer Science, Molecular Biology, Genomics, or a related discipline, with experience in the bioinformatics of large biological data sets. Proficiency in scripting is required. Candidates should have documented skills in genome informatics and/or processing phenomic, transcriptomic, or phylogenomic datasets. Candidates should have extensive research experience with a solid publication record, ideally with some experience in phylogenetic methods, and strong interpersonal, writing and problem-solving skills.

    Applicants are encouraged to contact potential research mentors/collaborators in advance to develop a research statement (see: RGGS Faculty List). Further information on this Gerstner Scholars program is at GSB&CB Programand Prior GSB&CB.

    For more information and how to apply please click this link:
    RGGS Gerstner Scholars in Bioinformatics & Computational Biology Program

    Applications and all required documents must be submitted by Monday December 5, 11:59pm, Eastern Standard Time. To Apply, click here: https://sis.rggs.amnh.org/apply/

    Required Documents:
    1. Cover Letter - indicating your interest, experience, and qualifications for the position
    2. Research Prospectus - provide a 150-word summary abstract AND a short (2-4 page) prospectus of the type of research project(s) and bioinformatics-computational biology tools you propose to develop during the postdoctoral appointment; specify potential research mentors you contacted, if relevant.
    3. CV and Names of References
    4. 2 Academic Letters of Recommendation - letters of recommendation are required from people knowledgeable about your work (exclusive of AMNH curators).
    5. Publications - Files of up to five recent publications, or other documentation of relevant accomplishments in bioinformatics/computational biology.

    For assistance with the application process, you may contact [email protected]

    DUE DATE for all materials: December 5, 2022.

    The American Museum of Natural History is an Equal Opportunity/Affirmative Action Employer. The Museum does not discriminate with respect to employment, or admission or access to Museum facilities, programs or activities on the basis of race, creed, color, religion, age, disability, marital status, partnership status, gender, sex, sexual orientation, gender identity, gender expression, genetic information, pregnancy, alienage or citizenship status, current or former participation in the uniformed services, status as a veteran, or national or ethnic origin, or on account of any other basis prohibited by applicable City, State, or Federal law. Additional protections are afforded in employment based on arrest or conviction record, status as a victim of domestic violence, stalking and sex offenses, unemployment status, and credit history, in each case to the extent provided by law. The Museum’s Diversity Statement and Reasonable Accommodation procedures are available at: https://careers.amnh.org

Latest Articles

Collapse

  • seqadmin
    Essential Discoveries and Tools in Epitranscriptomics
    by seqadmin




    The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
    04-22-2024, 07:01 AM
  • seqadmin
    Current Approaches to Protein Sequencing
    by seqadmin


    Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
    04-04-2024, 04:25 PM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, Today, 11:49 AM
0 responses
10 views
0 likes
Last Post seqadmin  
Started by seqadmin, Yesterday, 08:47 AM
0 responses
16 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-11-2024, 12:08 PM
0 responses
61 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-10-2024, 10:19 PM
0 responses
60 views
0 likes
Last Post seqadmin  
Working...
X