SAS Programmer

  • location: Framingham, MA
  • type: Contract
  • salary: $67 - $70 per hour
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job description

SAS Programmer

job summary:
To perform tasks under the guidance of project lead or CMC departmental principals on analytic design and statistical analytic planning, coordinate real world database management, and data warehouse construction or maintenance; to develop documentations of analytic plans, prepare for statistical concept communications and be able to advise on analytic strategies and recommend methodological solutions on complex analytic topics; to lead and perform statistical analysis, modeling, reporting, analytic interpretations, and slide development; to develop SAS macro libraries to standardize disease identification, cohort constructions, mapping of healthcare resource utilization and expenditures to standard metrics for product value propositions; to construct drug coding systems to support database activities for key therapeutic R;D and brand LCM activities, and establish and maintain a repository of the coding systems for therapeutic medications, diagnostic or surgical procedures and drug delivery systems ; to establish and main variety of disease identification and composite comorbidity assessment tools and algorithms; to conduct analytic quality assurance procedures; to provide timely analytic support for abstract and manuscript development and submissions to medical/scientific congresses or publications; to provide analytic support for internal and external communications and statistical interpretations of data under the guidance of departmental methodological principals.

 
location: Framingham, Massachusetts
job type: Contract
salary: $67 - 70 per hour
work hours: 8am to 5pm
education: Bachelors
 
responsibilities:
  • Develop statistical analytic plans, statistical expertise and data management techniques and skills
  • Manage real world database operations, analytic programming and statistical modeling activities
  • Assist project lead or departmental principals in study design, power calculation, CRF construction, analytic operations and reporting for retrospective and prospective studies
  • Assist project lead or departmental principals in analytic/computing resource planning,, work flow management and prioritization, and related logistic coordination
  • Prepare communication materials on analytic projects including processes, data, analytic findings for internal and external functional groups within or outside of CMS
  • Prepare slide decks for congress or manuscript submissions or internal or external communications
  • Plan and initiate analytic projects using the real world databases or clinical trial data warehouse in support of the CMS initiatives
  • Provides consultation for all CMS groups on research methodology and statistical or analytic issues
  • Vendor Management
  • Database licensing and maintenance
  • Analytic process formulation and standardization
  • Potentially supervising team of analytic and programming support
 
qualifications:
  • MS or PhD in Statistics
  • Experience: 0 to 3 years
  • Under the guidance of supervison
  • Bring statistical support around computational approaches toward discovering and developing Biotherapeutics (use of in silico methods - modelling, simulation, machine learning, computational biophysics - for improving bioprocess yields, biophysical stability, and safety profiles of biopharmaceuticals)
 
skills:
  • Bring statistical support in the design of experimental protocols, in the realization and interpretation of the results of statistical analyses and their presentation, - to take in charge the statistical analysis of complex or critical studies, generally intended to Health Authorities with writing of statistical study rapports according to the practices/standards of the Department and to participate to the answer to the questions from the Agencies on the registration dossiers and on various regulatory variations/commitments
  • Familiar with JMP, SAS and R.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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