Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Harvard University
- Chalmers University of Technology
- University of Oslo
- University of Copenhagen
- Ghent University
- AIT Austrian Institute of Technology
- Nanyang Technological University
- University of Florida
- UNIVERSITY OF VIENNA
- Susquehanna International Group
- Carnegie Mellon University
- Duke University
- New England HERC
- Helmholtz Association of German Research Centres
- University of Utah
- Aalborg University
- Fraunhofer-Gesellschaft
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- Pennsylvania State University
- Roskilde University
- University of Vermont
- Yale University
- California Baptist University
- Center for Biologics Evaluation and Research (CBER)
- Gannon University
- Georgetown University
- Indiana University
- Max Planck Institute for Human Development, Berlin
- Mayo Clinic
- Office of the Commissioner (OC)
- Princeton University
- Sandia National Laboratories
- The Ohio State University
- The University of Chicago
- University of California, Los Angeles
- University of Delaware
- University of Kansas Medical Center
- University of Lincoln
- University of Massachusetts Chan Medical School
- University of Michigan
- University of New Mexico
- University of South Carolina
- University of Texas at Austin
- University of Washington
- 36 more »
- « less
-
Field
-
, computer science, or a related field Strong programming skills (Python, R, or similar) and experience building or maintaining analysis pipelines Experience with RNA -seq, single-cell genomics, and/or
-
candidate will also gain valuable experience analyzing large data sets, working with programs such as Stata, R, and/or Python. A successful candidate will have: A strong quantitative background and
-
preferred. • Familiarity with survey tools (e.g., Qualtrics, Google Forms) or statistical software (e.g., SPSS , Python, R, JASP , SmartPLS, Stata) is a plus. • Self-motivated, responsible, and detail
-
experience integrating hardware and software Fluency in mathematical concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python, LabView or MATLAB) Excellent verbal and
-
and programming skills (preferably in R and/or python) Ability to work independently and as part of a team Additional Qualifications Excellent attention to detail and organization skills Interest in
-
(Python, shell scripting) and communication skills. Additional Qualifications Extensive experience with analysis of highthroughput sequencing data and knowledge of bioinformatics tools for sequence
-
software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and familiarity with scripting languages (bash, Perl). Knowledge of Unix operating system
-
Python and/or C++ and modern machine-learning or GPU-computing frameworks is particularly relevant. We do not expect candidates to already be experts in all of these areas. We particularly value
-
, programming, and statistical analysis. The Research Scientist develops and maintains advanced analytical workflows using tools such as MATLAB , Python, LabVIEW, SPSS , and Stata. Experience working with
-
programming and data analysis (e.g., Python) and handling large datasets, such as from hindcasts, large ensembles, or Coupled Model Intercomparison Project. Strong written and verbal communication skills