Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Bioinformatician III



    Overview

    GENERAL SUMMARY OF POSITION:
    The Bioinformatician III is independently responsible for statistical genetic analyses of large-scale genetic datasets, using genetic analyses software, and developing programs and algorithms, scientific software applications. Will perform statistical genomic analyses of next generation sequencing, gene discovery, meta-analyses, genetic-epidemiologic analyses. The analyses will focus on large-scale data and discovery of associations between common and rare genetic variants and human disease, as well as associations between these genetic variants and phenotypes or progression of disease and response to treatments. Individual will submit publications in peer reviewed journals, present at scientific meetings, and grow in the academic environment.


    Responsibilities

    MAJOR RESPONSIBILITIES:
    • Lead data analyses involving next generation sequencing and gene discovery as well as gene-environment and genetic-epidemiologic association analyses and analyze longitudinal studies.
    • Develop internal tools to facilitate large scale and custom analyses of genotype-phenotype associations.
    • Integrate computational methods/pipelines with high performance computing clusters.
    • Develop novel algorithms and integrated data visualization applications
    • Establish and customize genomic and proteomics databases
    • Develop custom databases and web portals for managing raw and processed data.
    • Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology professionals, and interdepartmental project teams.
    • Create database of internal and public genetic genomic data
    • Participate in presentation of project findings and abstracts including participation in periodic project status meetings and presentation of final project deliverables.
    • Properly document the analyses and all datasets used in computational analysis
    • Provide summary report of results suitable for inclusion in manuscript and grant applications.
    • Interface and collaborate with other researchers, including external and academic partners
    • Develop or acquire new computational tools for data analysis
    • Perform other duties as required.


    Qualifications

    REQUIRED QUALIFICATIONS:
    • Master's degree in Computer Science, a related computational discipline, or equivalent experience; Doctoral degree preferred in quantitative genetic-epidemiology, statistical genetics, computer science, bioinformatics, genomics, systems biology, computational biology, or applied mathematics, or equivalent experience.
    • 2-3 or more years of experience and working knowledge of genetic databases and websites; strong background in computational programs such as Operating Systems (e.g. UNIX, LINUX, Windows); Scripting languages (e.g. Perl, Python, Bash, Tcl); Programming languages (e.g. Java, C/C++) and statistical programming (R or MatLab), PLINK, SAS.
    • Thorough knowledge of methods used in complex trait genetics, genomic research projects including quality control, knowledge of potential biases and how to control for them in study design and analyses.
    • Proficiency with large complex genetic data sets and high-performance computing
    • Experience with cloud-based computing on AWS
    • Strong communication skills, both the oral and written necessary to interact with a wide range of individuals
    • Excellent organizational and interpersonal skills and ability to work effectively in a team-based environment.
    • Proven research record with high quality publications and oral presentations preferable.
    • Self-starter and ability to work independently with minimal supervision
    • Strong analytical and problem-solving skills
    • Team player, respectful and professional behavior, willing to teach and share
    Highly qualified candidates will have:
    • Hands on experience in large-scale genetic data analysis
    • Experience in statistical computing
    • Understanding of basic molecular biology
    • Ability to manage and steer research projects
    • Ability to prepare manuscripts for publication in top tier journals
    • Excellent written and verbal communication skills


    Apply Here

    PI190964834

Latest Articles

Collapse

  • seqadmin
    Strategies for Sequencing Challenging Samples
    by seqadmin


    Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
    03-22-2024, 06:39 AM
  • seqadmin
    Techniques and Challenges in Conservation Genomics
    by seqadmin



    The field of conservation genomics centers on applying genomics technologies in support of conservation efforts and the preservation of biodiversity. This article features interviews with two researchers who showcase their innovative work and highlight the current state and future of conservation genomics.

    Avian Conservation
    Matthew DeSaix, a recent doctoral graduate from Kristen Ruegg’s lab at The University of Colorado, shared that most of his research...
    03-08-2024, 10:41 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, 03-27-2024, 06:37 PM
0 responses
12 views
0 likes
Last Post seqadmin  
Started by seqadmin, 03-27-2024, 06:07 PM
0 responses
11 views
0 likes
Last Post seqadmin  
Started by seqadmin, 03-22-2024, 10:03 AM
0 responses
53 views
0 likes
Last Post seqadmin  
Started by seqadmin, 03-21-2024, 07:32 AM
0 responses
68 views
0 likes
Last Post seqadmin  
Working...
X