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Write, maintain and develop high quality programs (R, SAS) and computational algorithms to facilitate the construction of PopPK datasets (e.g., NONMEM, Phoenix NLME, clinical datasets, SAS transport files, ) and work closely with Pharmacometricians to create precise data specifications and offer technical bioinformatics and database support for analyses, such as population PK models, PK/PD analyses, exposure-response analyses, clinical trial simulations, and other quantitative analyses.
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The individual should be able to ensure application of appropriate statistical methods and generation of accurate and reproducible results through error- free statistical programming in SAS, R and/or other programming languages.
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The Senior Principal Clinical Programmer is a member of the Biometrics and Programming Department within the Research and Development (R&D) organization responsible for providing technical leadership and advanced Statistical programming expertise to ensure all work adheres to corporate standard operating procedures (SOP), GCP, 21 CFR and ICH guidance.
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Advanced capabilities in Excel, SAS/SQL, and database applications used for analysis, proficiency with Microsoft PowerPoint. Programming experience in Python & R is a plus. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services.
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KnowledgeStrong knowledge of Commercial Pharmaceutical processes and regulationsStrong knowledge of Business Intelligence tools such as Tableau and SnowflakeExpertise in programming languages such as SQL, SAS and R, along with ETL processes and data warehousing platformsSkills & AbilitiesAbility to develop SQL queries and other processes to evaluate dataMust demonstrate personal accountability for quality in a structured and compliant manner.
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Strong technical skills in any of the following: SAS, SQL, R, Python, and/or Excel VBA. Exposure to cloud processing environments such as Cloudera, Snowflake, and/or Databricks. Strong technical skills in any of the following: SAS, SQL, R, Python, and/or Excel VBA.
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Proficient in Microsoft Excel; programming knowledge a plus (SAS, SQL, VBA, Python, R) The Philadelphia Health Practice of Milliman is seeking a candidate for an actuarial internship for the Summer of 2025.
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Knowledge of other programming languages such as R, Python etc. Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree SAS programming experience with clinical trial data in the Pharmaceutical & Biotech industry.
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Basic understanding of SAS, R, Python and other similar scripting languages. Tableau developer/Tableau analyst with high level of expertise in data visualization and automation. Basic understanding of SAS, R, Python and other similar scripting languages.
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Familiarity and experience with relational databases, statistical softwares (i.e. SAS, SIMCA), modeling and visualization softwares (i.e. Python, R, Matlab, MS Power). Familiarity and experience with relational databases, statistical softwares (i.e. SAS, SIMCA), modeling and visualization softwares (i.e. Python, R, Matlab, MS Power.
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Proficiency in analysis (e.g. R, SAS JMP, Minitab, Matlab) packages. Establishes and maintains strong working relationships with R&D, Process Technology, plant and business personnel to facilitate technology transfer, identify new projects and promote data analytics.
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SQL Development experience (and/or Python development) (SAS or R could also be helpful) Experience with Adobe Analytics. SQL Development experience (and/or Python development) (SAS or R could also be helpful.
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Round 1: Technical Interview. Tableau experience (building/modifying dashboards) (or a similar report development tool) Performs analyses of historical data to surface trends and insights using advanced analytical methods.
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Skilled in Python, Statistical Computing with R, SAS, or other programming languages. Proficient in statistical methods, applied econometrics, economic theory of behavior. Must have demonstrable experience in predictive modeling using automatic tools (classroom exercises allowed.
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