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Biostatistician

Job Snapshot
Location:
Pleasanton, CA 94566 (map it!Map it! )
Base Pay:
$60.00 - $80.00 /Hour
Employee Type:
Contractor
Industry:
Biotechnology
Pharmaceutical
Manages Others:
No
Job Type:
Biotech
Pharmaceutical
Education:
Graduate Degree
Experience:
At least 5 year(s)
Post Date:
11/3/2009
Contact Information
Ref ID:
4170
Description

Ockham is a global provider of resources to the Biotechnology and Pharmaceutical Industry. We work with companies involved with clinical trials and other market approval processes to help them deliver their products on time and on budget. One of our clients in Pleasanton, CA is looking for a Biostatistician. This is a contract position.

 

The Biostatistician acts as an in-house statistical consultant to Client's departments. Provide consulting services, analyses and statistical reports to clinical areas. Work closely with programmers to provide specifications for report tables and listings. Oversee and provide statistical consulting to Client's 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. Work on complex statistical problems in which analysis of data requires an in-depth evaluation of various factors



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 or MS in biostatistics or statistics with at least 5 years of related experience is required. A thorough knowledge of experimental design, general linear model, categorical analysis and statistical computing is needed. Familiarity with survival analysis and nonlinear models is ideal. Statistical computing in SAS is required.
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