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Non-clinical Statistician - Algomod (La Jolla, CA)

You will join a small group of statisticians to provide statistical support to the non-clinical areas, such as Research, Drug Safety Research & Development, and the department of Pharmacokinetic, Dynamic and Metabolism.

You will outreach the scientists in research area to work with them on statistical issues. Some examples are:

  • Analyze the data with appropriate statistical methods, write summary reports and present orally.
  • Resolve design issues and determine the sample size.
  • In vivo- in vitro bioassay development / validation as markers of preclinical drug activity, safety testing and product release.
  • Monitor literature for new statistical methodology and apply or adapt as appropriate.
  • Increase knowledge relating to subject areas.
  • Develop and deliver statistical training modules to meet the needs of Pharmaceutical scientific lines.

Requirement:

Solid and broad statistical knowledge, excellent consulting/communication skill and ability to work independently are essential. Must know generalize linear model, and SAS, knowledge of R and strong background in experimental design is a plus. Ph.D. in statistics or biostatistics with 0-3 years of experience is required. Preference will give to the candidate with knowledge of biology or biochemistry.

General Function: Non-Clinical Statistician

Required Skills:

Education Level Masters Degree
Software Application Knowledge SAS
Software Application Knowledge R

Desired Skills:

Education Level Doctorate Degree
Industry Knowledge/Experience Creating Statistical Analysis plans
Industry Knowledge/Experience Biology
Industry Knowledge/Experience Biochemistry
Pharmaceutical Experience 1-2 Years

If you are qualified, available, interested, planning to make a change, or know of a friend who might have the required qualifications and interest, please email me at ken.hoinsky [at] algomod.com ASAP, even if we have spoken recently about a different position. Please include a daytime phone number so I can reach you.


URL: www.datashaping.com/jobs17116e.shtml
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