Alnylam Pharmaceuticals Inc logo

Principal Statistical Programmer

Alnylam Pharmaceuticals Inc

  • MA
  • 5 days ago
  • Remote
  • $180,687.50–$204,700 Per Hour
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Skills

  • Analysis Skillsunmatched
  • Best Practicesunmatched
  • Case Report Form (CRF)unmatched
  • Clinical Dataunmatched
  • Clinical Data Interchange Standards Consortium (CDISC)unmatched
  • Clinical Data Managementunmatched
  • Clinical Practices/Protocolsunmatched
  • Clinical Study Publicationsunmatched
  • Clinical Supportunmatched
  • Clinical Trialunmatched
  • Clinical Validationunmatched
  • Computer Scienceunmatched
  • Contract Research Organization (CRO)unmatched
  • Data Formatsunmatched
  • Data Managementunmatched
  • Data Modelingunmatched
  • Data Qualityunmatched
  • Data Setsunmatched
  • Documentationunmatched
  • FDA (Food and Drug Administration)unmatched
  • Industry Standardsunmatched
  • Information Technology & Information Systemsunmatched
  • Multitaskingunmatched
  • Operational Improvementunmatched
  • Operational Strategyunmatched
  • Process Developmentunmatched
  • Programming Methodologiesunmatched
  • Project Planningunmatched
  • Project/Program Coordinationunmatched
  • Project/Program Managementunmatched
  • Regulationsunmatched
  • Regulatory Requirementsunmatched
  • Regulatory Submissionsunmatched
  • Requirements Derivationunmatched
  • Requirements Managementunmatched
  • Statistical Analysis System (SAS)unmatched
  • Statistical Programming Languagesunmatched
  • Statisticsunmatched
  • Time Managementunmatched

Description

NOTICE OF FILING AN APPLICATION FOR PERMANENT EMPLOYMENT CERTIFICATION

JOB TITLE: Principal Statistical Programmer JOB DUTIES: Write SAS programs that produce or validate tables, listings, figures and analysis datasets, in support of clinical studies or complex integrated analyses for submission. Develop and follow good programming practices, including adequately documenting SAS code. Perform, plan and coordinate project work to ensure timely, quality delivery across multiple projects. Use, modify, and maintain existing SAS code. Write specifications to describe programming needs. Create and validate global macros or systems that streamline repetitive operations to increase programming efficiency. Keep abreast of current and new statistical programming techniques and other applicable technical advancements while assisting in their implementation. Provide input into, or lead general standardization efforts (e.g., CRFs, query checks, standard statistical programs, data presentations). Assist or lead efforts to develop programming processes consistent with industry best practices. Review DMP, eCRF specs, and other clinical data management documents. Review statistical analysis plans and other related documents. Partner with or oversee CROs or programming vendors to perform any of the above tasks. Hybrid in-office/remote position. MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS: Bachelor's degree in Engineering (any), Information Technology, Information Systems, Computer Science or related field of study and eight (8) years of experience in the job offered or related occupation in which the required experience was gained. Must have demonstrated experience with: Provide input into and/or lead standardization initiatives related to case report forms (CRFs), query checks, statistical programming standards, and data presentation formats for Clinical trial reporting; review Data Management Plans (DMPs), electronic Case Report Form (eCRF) specifications, and other clinical data management documentation for accuracy and compliance; review Statistical Analysis Plans (SAPs) and related clinical study documents to ensure alignment with study objectives and regulatory requirements; develop, validate, and maintain SAS programs to generate Safety and Efficacy tables, listings, figures (TLFs), and analysis datasets for clinical trial reporting; modify, enhance, and maintain existing SAS code to support ongoing clinical programming activities and improve efficiency; prepare technical programming specifications documenting programming requirements, data derivations, and validation procedures; design, develop, validate, and maintain reusable global macros and automated systems to streamline repetitive programming tasks and improve operational efficiency; utilize SAS to analyze and report clinical trial data for regulatory submissions and internal review purposes; review and develop technical programming specifications and SAS programs in accordance with regulatory and industry standards; apply CDISC standards, including SDTM (Study Data Tabulation Model) and ADaM (Analysis Data Model), in the preparation and validation of clinical datasets; create eSub package for Clinical trial reporting for FDA submission; apply statistical methodologies and programming techniques to support the analysis, interpretation, and reporting of clinical trial data; SAS Macro, SAS/SQL, SAS/GRAPH, and SAS/STAT. OTHER: Employer: Alnylam US, Inc. Job location: 675 W Kendall Street, Cambridge, MA 02142. Hybrid in-office/remote position. 40 hours/week; $180,687.50 - $204,700.00/year (view contact information below) If offered employment, must have legal right to work in U.S. EOE. This notice is being posted as a result of the filing for a permanent resident labor certification application for this job opportunity. Any person may provide documentary evidence bearing on the application to: U.S. Department of Labor

2 Employment and Training Administration Office of Foreign Labor Certification 200 Constitution Avenue NW, Room N-5311 Washington, DC 20210 CONTACT: To apply, submit a resume to https://jobs.alnylam.com/careers?start=0&pid=893380660936&sort_by=hot, OR submit a resume to https://jobquest.dcs.eol.mass.gov/jobquest/LandingPage.aspx OR mail resume to: Alnylam US, Inc., Attn: HR, 675 West Kendall Street, Cambridge, MA 02142.

Numbers & Facts

LocationMA (
Remote
)
IndustryHealthcare Services
Salary$180,687.50–$204,700 Per Hour
Year Founded2002
Websitehttp://www.alnylam.com/

About Company

Alnylam is leading the translation of RNAi as a new class of innovative medicines, with a core focus on RNAi therapeutics toward genetically defined targets for the treatment of serious, life-threatening diseases with limited treatment options for patients and their caregivers.

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