Jobs (USA)

us: Postdoctoral Researcher - Terrestrial Ecosystem Modeling [1y renewable; PhD; use and dvlpmt of state-of-the-art terrestrial ecosystem models, knowledge of uncertainty, sensitivity, inverse modeling, and data assimilation (including remote sensing) methods; oral and written presentation of results] / Lawrence Berkeley National Laboratory; Berkeley, CA

us: Postdoctoral Fellow - Mechanical Engineer or Math/Statistician [1y renewable; PhD in environmental eng, mech eng, appl physics, or rel field; exp in appl stat and environmental modeling required, familiarity with Bayesian stat highly desirable; working knowledge of computer progr, familiarity with a scripting language (e.g., Perl) and UNIX computing; apply airflow models to investigate airflow and pollutant transport processes in transport facilities] / Lawrence Berkeley National Laboratory; Berkeley, CA

us: Data Specialist [BSc in CS, db administration, data analysis, stat, math or a rel; exp working with relational db applications including Access and Microsoft SQL Server and complex query construction, knowledge of data collection, analysis, and report preparation, excellent Excel and internet navigation skills, ability to use SW/technology for efficiency and to achieve objectives, familiarity with project methodology concepts, exp troubleshooting web based data collection systems, exp rogr, web related technologies, reporting SW, SPSS] / Colorado Community College System; Denver, CO

us: Software Developer 4 - Genomic Sequence [BSc (or equivalent exp) in CS, or in physical or biol sc; 4y of progr exp; exp in SW dvlpmt in UNIX/Linux environment, object oriented progr language and knowledge of SQL, ability to use existing biol SW tools for conventional molecular biology assembly (phred/phrap/consed), and sequence alignment (blastn/blastp), and next-generation sequencing tools (tophat/cufflinks), familiarity with basic stat and stat data analysis/visualization using languages such as R or Matlab, ability to test and utilize SW for analysis of biol data; excellent written and oral communication skills] / Lawrence Berkeley National Laboratory; Berkeley, CA

us: Research Associate [1y; BSc in Biochemistry, Math, CS or rel; 1y exp as researcher in academic or industrial research lab; computer modeling of peptide structures molecular dynamics simulations, computer-assisted design SW exp and knowledge of structural biology and basic biochemistry] / Lawrence Berkeley National Laboratory; Berkeley, CA

us: Post-doctoral Fellow [multi-year; PhD in stat, CS, eng, math, physics, or economics; excellent quant and appl research skills, exp with any of: stat methods for analysis of complex surveys, randomized controlled trials, clinical trials, power analysis, data-mining, text-mining, machine learning, or linear-progr; proficiency in progr with high-level progr language (e.g., C++, C#) or stat language (e.g., Stata, SAS, MATLAB, GAUSS, Mathematica); strong oral and written communication skills; quant empirical studies using restricted data, administrative records, or survey data linked to administrative records] / Epidemiology and Biostatistics Section at the NIH Clinical Research Center; Bethesda, MD

us: Bioinformatics Scientist [MSc, or equivalent, in physical, eng, or life sc; exp working with scientific data within scientific research environment, exp with data exploration, processing, and analysis; proficiency in scripting languages (e.g. Perl, Python, or Ruby), and scripting for unix-based operating systems, exp extracting/manipulating/integrating data from public biol data repositories (e.g. NCBI, Ensembl, UCSC), proficiency with bioinformatics tools] / Institute for Systems Biology

us: Biostatistician or Statistician [tenure-track/tenure-eligible; PhD in biostat, stat or rel; knowledge of basic approaches used in cancer epidemiology, and knowledge of biostat theory and methods, record of publications demonstrating ability to conduct independent research on stat methods; develop independent investigator initiated stat research programs] / Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH); Bethesda, MD

us: Postgraduate Research Associate in Probabilistic Modeling [MSc/PhD in math, CS, or rel; exp with: Probabilistic modeling, probability theory, or random processes, Supervised and unsupervised learning algorithms, Graph algorithms, Active learning, Approximation algorithms, Large-scale computations or distributed algorithms; excellent communication skills] / Oak Ridge National Laboratory; Oak Ridge, TN / must be US citizen, ability to obtain and maintain clearance from the Department of Energy

us: Post-Bachelor's Research Associate in Large-Scale Machine Learning [BSc in math, CS, or closely rel; exp in one or more of: Machine learning algorithms (e.g., support vector machines), Probabilistic modeling (e.g., hidden Markov models or other graphical models), Operating systems (e.g., processes, threads, system calls), Cyber security concepts (e.g., intrusion detection), Large-scale computations (e.g., Hadoop); excellent communication skills] / Oak Ridge National Laboratory; Oak Ridge, TN / must be US citizen, ability to obtain and maintain clearance from the Department of Energy

us: Software Developer - Comparative Genomics [BSc in CS, Biology, Bioinformatics or rel field with 5-8+y of work exp, or equivalent combination of edu and exp, advanced degree (MSc/PhD) preferred; extensive genomic analysis SW exp, and substantial knowledge of various bioinformatics algorithms rel to sequence analysis, exp as top developer on open source genomic visualization project or genomic web portal, ability to troubleshoot complex web component and db systems issues; dvlpmt of SW packages for biol data analysis] / Lawrence Berkeley National Laboratory and DOE Joint Genome Institute (JGI); Walnut Creek, CA

us: Software Developer 2/3- Plant Genomics [BSc in CS, Eng, Bioinformatics, or rel field with 2+y of work exp, or equivalent combination of edu and exp; ability to discuss and manipulate algorithms and effectively work with advanced data structures, ability to optimize at code level and at algorithmic/run-time complexity level; exp utilizing Perl, C, UNIX, and subversion/cvs, experience utilizing disciplined and modern coding habits such as self-documenting code, unit testing, and pair-progr] / Lawrence Berkeley National Laboratory and DOE Joint Genome Institute (JGI); Walnut Creek, CA