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Firmly grounded in the scientific fundamentals of one or more of the core HEOR specialties (epidemiology, biostatistics, patient reported outcomes, health services research, economics, clinical practice or behavioral science.
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Job Title: Director, Biostatistics (Oncology Indication Lead) Full time permanent - Direct with a global pharmaceutical company Location: Basking Ridge, NJ - this can be fully remote but need to be onsite once every 3 months, and or very important meetings Must be US Based in EST or CST time zones Prior experience as a Statistician indication lead for an Oncology trial is needed.
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Apply statistical (descriptive, analytical, inferential) analysis and data mining techniques to generate real-world evidence and prediction systems for stand-alone projects or to be assimilated into production systems.
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Utilize and develop statistical and computational pipelines for the analysis of omics data, including RNseq, 16s rRNA, ChIP-seq, scRNseq, bisulfite sequencing, and high-throughput proteomics (DIA and TMT.
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We are seeking a highly skilled and motivated Principal Statistical Programmer with expertise in pharmacokinetics (PK) and pharmacodynamics (PD) to join our dynamic FSP team. Qualifications:Substantial experience in statistical programming using SAS, R, or other relevant programming languages within the pharmaceutical or biotech industry.
$111,400 - $203,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience.
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Long-term, remote, Sr. Statistical Programmer (RWD) Bachelor s degree in Computer Science, Statistics, Mathematics, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience.
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Prior experience building patient cohorts and evaluating patient healthcare events in large databases (millions of records) and using observational research methods such as epidemiology and statistical methods is required.
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PhD in Statistical Genetics, Biostatistics, Biomedical Informatics, Computer Science, Bioinformatics, or closely related field, with expertise in method development and practical application.
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Database programming using SQL or experience with advanced statistical methods such as survival and regression. Training or experience with Databricks, Spark SQL or Python. Experience with real world healthcare data such as MarketScan, Optum, EMR, EHR, DRG, PharMetrics, and/or Medicare databases.
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Candidates must have excellent SAS programming skills and the ability to implement complex data step logic. Strong communication, time management, enthusiasm and documentation skills are essential in this home-based position.
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The senior programmer position will be responsible for manipulating large databases and generating reports using SAS to enable analysts to explore real world healthcare data assets. Candidates must be comfortable with creating complex analysis data sets derived from various data sources with a careful eye for outliers and errors.
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Associate Director/Sr. Manager Biostatistician 2024364 Location: Waltham, MA (Hybrid) Therapeutic Area: Immuno-Oncology Job Overview: The Senior Manager/Associate Director, Biostatistics will lead statistical analyses for early development of clinical trials, support investigators and researchers on experimental design, and collaborate closely with internal teams while reporting to the Head of Biometrics.
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Minimum 12 years of experience in biostatistics or statistical programming activities in the Pharmaceutical/Biotechnology industry in clinical development with excellent knowledge of CDISC ADaM and SDTM, ICH Statistical and Clinical Report Guidelines and proven experience in the development of processes/tools.
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Demonstrated understanding disease physiopathology, drug mechanism of action, clinical development principles, epidemiology, biostatistics, statistical programming COA development, systemic literature reviews, and network meta-analyses.
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