Duties: Collect, manage and clean datasets; Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data; Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements; Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions; Develop reports, charts, graphs and tables for use by investigators and for publication and presentation
Requirements: Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with one year (min) of relevant experience; Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data; Experience working within a UNIX/Linux environment; Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL; Excellent communication and team skills and fluency in both spoken and written English

Duties: Act as the data and statistical leader across a variety of research projects; Prioritize and extract data from a variety of sources such as notes, survey results, medical data, and other big data sources, determine and maintain its accuracy and completeness; Determine additional data collection and reporting requirements; Design and customize analytical reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data; Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others
Requirements: Bachelor’s degree and three years of relevant experience or combination of education and relevant experience. An advanced degree (Master’s or PhD) is highly desired; Experience in a quantitative discipline such as economics, finance, statistics, political science, computer science, engineering, health economics, or biostatistics; Excellent writing and analytical skills; Mastery of R; Knowledge of causal inference methods

Duties: Collect, manage and clean datasets; Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data; Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements; Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions; Develop reports, charts, graphs and tables for use by investigators and for publication and presentation
Requirements: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering

Duties: Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness; Determine additional data collection and reporting requirements; Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data; Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others
Requirements: Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with two years of relevant experience; MS or PhD in bioinformatics-related field; Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data; Experience working within a UNIX/Linux environment; Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL

Duties: Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan; Experience in single cell data analyses and integrative multi-omics approaches is a strong plus; A background in immunology and experience working with clinical trial data will be a plus and will help in the development of independent research projects; Oversee junior-level data scientists on data cleaning and creation of analytic files and mentor junior-level data scientists in the area of conducting collaborative research
Requirements: Ph.D. in Computational Biology, Biostatistics, Statistics, Bioinformatics or related field; Capable of functioning independently and collaboratively at an advanced level under the overall direction of the QSU Director; Experience with multiple programming languages such as Python and R; Outstanding oral and written communication skills with the ability to communicate technical information to all audiences

Duties: Oversee lower-level staff on quality control; Oversee lower-level staff on creation of analytic files; Identify appropriate statistical tools for analysis; Implement data analysis through statistical programming; Consult with investigators and others on appropriate statistical approaches to data analyses; assist in study design; Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles
Requirements: Master's degree in biostatistics, statistics or related field and at least 5 years of experience or Ph.D. in biostatistics, statistics or related field; Proficient in at least two of R, SAS, SPSS, or STATA; Skills in descriptive analysis, modeling of data, and graphic interfaces; Skills in data management and database development, data extraction, and linkage across multiple data sets

Duties: Assess user needs and requirements; Design and develop applications that may involve sophisticated data manipulation; Maintain and update existing programs; Troubleshoot and solve technical problems; Create programs to meet reporting and analysis needs; Design and implement user and operations training programs; Document changes in software for end users; Follow team software development methodology
Requirements: Bachelor’s in Bioinformatics, Statistics, Computer Science or related field, and three years of relevant experience; Master’s in Bioinformatics, Statistics, Computer Science or related field, and one year of relevant experience; Proficient in R and Python, and a statistical analysis software e.g., SAS or SPSS; Experience with NGS analysis and bioinformatics pipelines e.g., RNA-seq, ATAC-seq and etc

Duties: Meeting faculty members and researchers to evaluate their bioinformatics needs; Conducting data analysis that meets quality standards of major peer-reviewed publications; Providing faculty members and researchers with data, analysis protocols, figures, method descriptions, code, documentation, support, and anything else that might be needed to meet project goals; Managing time and projects efficiently to support the analysis needs of multiple labs simultaneously; Establishing, refining, and standardizing the process for bioinformatics analysis and validation. Benchmark-driven development is expected, e.g., use of PrecisionFDA/Genome-in-a-Bottle for DNASeq analysis, or the use of well-characterized data or simulated data where commonly-used reference datasets do not exist
Requirements: PhD in Bioinformatics, Computational Biology, Physics, Computer Science or related field; Ability to define and solve logical problems for highly technical applications; Deep understanding of next-generation sequencing data and bioinformatics algorithms. While Illumina sequencers are the most common data source, it is not unusual to see 10xGenomics or PacBio data; Provide best-practices data analysis, including QC and visualization, employing common NGS pipelines such as RNAseq, ChIP-seq, ATAC-seq, Methyl-seq, DNA-seq, and Microbiome Sequencing. Multiomics analysis is often needed

Duties: Help design, develop, and support machine learning models, algorithms, statistical models, and other programs designed to improve the public sector; Lead the collection of new data and the refinement of existing data sources. Work withlarge untapped data sets, including: health and environmental enforcement data, mass adjudication records, high-resolution satellite imagery (15cm/pixel), and the largest publicly available corpus of legal text; Implement and interpret the results of new experiments and studies in partnership with government agencies, researchers, non-profits, or other stakeholders; Lead testing, release, and maintenance processes and collaborate with technical staff to standardize and systemize data standards, elements, and metrics
Requirements: A bachelor’s degree in a relevant quantitative field (e.g., data science, computer science, statistics, engineering, mathematics, economics, or a related field) and three years of relevant professional experience or a combination of education and relevant professional experience; Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); In-depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software; Basic statistical ability