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Clinical/Non Clinical Biostatistician

Job Snapshot
Location:
Pleasanton, CA 94566 (map it!Map it! )
Employee Type:
Contractor
Industry:
Pharmaceutical
Manages Others:
No
Job Type:
Biotech
Education:
Graduate Degree
Experience:
At least 5 year(s)
Post Date:
11/3/2009
Contact Information
Contact:
Sudha Parameswaran
Ref ID:
CBBIOSTAT
Description
 
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Clinical Biostatistician-

12 months contract

Pleasanton CA

 

The Biostatistician acts as an in-house statistical consultant

  • Provides consulting services, analyses and statistical reports to Scientists.
  • This individual interacts with clients on a regular basis and translates the scientific question into statistical question, determines the necessary statistical tools and performs the data analysis.
  • The projects are short term and require quick turn around time to deliver results.

 

  • For Clinical consulting the individual provides statistical consulting to clinical teams in design of clinical studies (including sample size estimation, power calculation and study conduct) as well as analysis and interpretation of study data. Provide statistical methodology section for study protocols, write statistical analysis plans, perform statistical analyses and draft statistical reports as required.

 

  • We need a professional who exercises judgment within a broadly defined practice and policy in selecting methods, techniques and evaluation criteria for obtaining results.
  • Develop systematic documentation of methods, results and statistical programming.
  • Statistical programming may include creation of analysis specified in statistical analysis plan and ad-hoc analysis. Coordinate the quality-control checking of deliverables (reports, summary tables and graphs). Attend project team meetings and provide expertise.

 

Requirements
 
 
 
  • A PhD in biostatistics or statistics is required as well as over 6 years of experience.

 

  •  A thorough knowledge of experimental design, general linear model, categorical analysis and statistical computing is needed. Familiarity with linear mixed models, nonlinear models and survival analysis is ideal.
  • Statistical computing in SAS is required.
  • Knowledge of other statistical software such as S-Plus, nQuery or PASS etc is ideal.

 

 Please email your resume' to Sudha Param at [Click Here to Email Your Resumé]

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