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SAS is the preferred statistical package within the HSS Biostatistics Program, but candidates with experience in other statistical packages (R, SPSS, Stata) are encouraged to apply. Under the direction of the Program Director and faculty, this biostatistician will provide statistical support for a variety of musculoskeletal and rheumatology research projects managed by Biostatistics faculty.
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Job Description : We are looking for an associate with at least 5+ years of experience for Sr Statistical programming position, having strong understanding of SAS Base/Macros/GTL and experience of SDTM/ADAM/TLFs creation as per CDISC standards.
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The Operations Evaluation Analyst is responsible for gathering, validating, optimizing and interpreting data sets, conducting quantitative and qualitative statistical analyses and modeling to inform decision making for continuous quality improvement (CQI) for all programs under CGS's auspice including all DOHMH, OMH, OPWDD, OCFS, ACS and ORR regulated programs.
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Experience with statistical data analysis software (e.g., R, Stata, SPSS) and/or advanced Excel skills, including analytic functions (i.e., Pivot tables, formulas, etc. From homelessness prevention in Staten Island to supportive housing in the Bronx; from employment training in Manhattan to after school programs and college access in Brooklyn; from family shelter and support in Queens to increasing affordable housing across the city, CAMBA provides holistic services to help struggling New Yorkers stabilize their lives and become self-sufficient.
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Strong study design and statistical analysis skills with proficiency in one are more statistical applications (SAS/R/Python) is required. Work independently to lead and/or execute study plans and statistical analysis for assigned projects.
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Understanding of Statistical Process Control (SPC) methods is a plus but not required. Familiar with various manufacturing processes (die casting, machining, plastic molding, sheet metal fabrication, cable and connector fabrication, and others.
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Using advanced statistical and programming skills, assist in developing quantitative models and frameworks for NYSIF to better assess ESG risks and opportunities. The position reports to the Head of ESG and Sustainable Investing and sits within the office of the Chief Investment Officer.
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The Biostatistician II is responsible for providing statistical support, including study design, sample size and protocol development in support of clinical projects. Performs statistical programming to implement complex statistical analysis plan.
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At least 5 years of work experience in a role requiring analytical skills, such as business analyst, data analyst, or statistical analyst. Advanced knowledge of data mining and experience with SQL, data warehousing, statistical analysis tools, Microsoft Excel, and data visualization tools like Tableau or PowerBI. Experience in extracting and processing data using SQL and Excel.
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Working knowledge of statistical programming (primarily R), SQL, version control, data maintenance, and other relevant computational techniques and processes. Ramp-up on oncology domain knowledge and healthcare analytic techniques and statistical methodologies.
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Under direction, provides direct and indirect clinical services to consumers, their families and designated others; supervises staff members and performs leadership roles as assigned; implements program components, participates in developing and implementing program outcomes and evaluations, monitors and collects data and develops statistical reports; teaches clinical methods and assists with day-to-day program functioning, performs other related duties as assigned.
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Additional skills in rapid prototype fabrication, product design and manufacturing, microfluidic design, molecular biology, optics, ultrasonics, electromagnetics, microcontrollers, electromechanical system design, thermal design, programming, statistical analysis, and medical device design are a plus.
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PhD in Statistics, Biostatistics, or related discipline with minimum 7 years of relevant experience in statistical analysis of biomedical data using SAS, R language or equivalent software in the biopharma industry or a related environment.
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Use data science methods, including but not limited to Artificial Intelligence/Machine Learning (AI/ML) approaches, to perform data processing (e.g. filtering), feature recognition, alarm threshold determination, pattern matching, statistical trending, scoring of detection quality, and integration of other information into decision making.
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Ensure accurate and timely reporting and statistical information for both Acacia Network management and regulatory agencies. Ensure accurate and timely reporting and statistical information for both Acacia Network management and regulatory agencies.
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statistical job Company: Genesis Research in Bronx, NY
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