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Programming experience with two or more programming languages including: Python, R for bioinformatics data analysis. Technical knowledge of Next-Generation Sequencing (NGS) design and data analysis pipelines including CRISPR (preferable) and omics analysis.
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A technical and innovative role that partners with statistical programming, clinical analytics, data standards, statistical sciences, data sciences and information technology experts to implement next generation clinical data analysis ecosystem.
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The ideal candidate will have extensive experience in CUDA based GPU programming, generative design, and finite element analysis, with a strong understanding of software development processes.
$180,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Postdoctoral position in Computational biology / Data Science Large-scale data analysis, programming and statistical evaluation. Strong programming and statistical knowledge, including machine learning.
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Must have experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R) skill :- Data Modeling, ETL Solution, Data Mart, Data Lakes, DWH, Data Analytics Knowledege of programming language (e.g., SQL, Python & Apache Spark, SAS & R), Database (e.g., Oracle, Postgres, Hive, and HBase), ETL/Orchestration tools (e.g., Informatica, Autosys, and Airflow, etc.
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Relevant experience must be in computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance and/or systems engineering.
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Proficient statistical programming and analysis skills, preferably in R. We are seeking an exceptional Senior Principal Statistician with strong statistical and computational skills to support multiple complex clinical trials in Oncology and COVID. The Senior Principal Statistician is responsible for leading and performing biostatistics and statistical programming activities in these trials, which may be Phase I, II and III pharmaceutical trials and medical device trials evaluating new biomarkers and/or therapeutics.
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Graduate degree in hydrology, geology, or a related field of study; course work in hydrogeologic data analysis, groundwater modeling, and computer programming preferred. Proficiency with Microsoft Office, GIS software, and computer programming (e.g., Python, Scilab, FORTRAN, Octave.
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R, regression analysis, Hypothesis testing, SAS, Clinical Research, biostatistics, statistical programming. In collaboration with cross-functional teams and vendors, the Senior Statistical Analyst ensures that all analysis and programming results meet the highest quality standards.
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Knowledge, Skills, and Abilities In-depth knowledge of CNC Programming, CAD / CAM / CAE, MS Office Software, and MS ProjectCompetent in advanced engineering drawings including GD&T and tolerance analysis.
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Edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server.
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Strong technology skills, including advanced Excel skills and considerable experience with data extraction, data visualization, and statistical analysis software such as Argos, Tableau, Power BI, SQL, SPSS, and/or SAS. Experience in programming in SQL and/or collaborating with programmers to develop scripts to meet various mandated and ad hoc reporting needs.
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Data analysis skills, such as programming in MATLAB, Mathematica, or R. Working in a team environment, the Data Scientist will utilize various data analysis methods and software tools, building and implementing algorithms using relevant programming languages and computational environments in support of scientific projects.
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Experience with programming languages such as Python, MATLAB, or Fortran for data analysis and numerical simulations. Experience with experimental plasma physics, including plasma diagnostics, data analysis, and interpretation of experimental results.
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Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL. Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes.
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