Biostatistician

Organization
Applied Proteomics
Job Location
3545 John Hopkins Court Suite 150
San Diego, CA 92121
Salary
DOE
Benefits

Great Benefits Package!

Job Description

Basic Function and Scope of the Position:

 

The Biostatistician will act as a lead analyst working on data related to the development of clinical assays in a CLIA/CAP laboratory. The successful candidate will possess strong statistical and analytic skills, solid programming experience, and a high level of professional maturity.

 

Tasks and Responsibilities:

  • Provide statistical guidance and perform analyses that enhance Applied Proteomics’ multiple-analyte clinical assays.  Develop a deep understanding of Applied Proteomics’ tests.  Serve as a key computational resource to propose and evaluate methods in the Product Research and Development laboratory.
  • Design and analyze development, verification, validation, and other studies using DOE approaches.
  • Design and execute analyses to assess experimental factor effects and quality-related measures in the laboratory. Perform ongoing monitoring of assay measures and outcomes. Proactively explore the data to uncover elusive problems and ensure high-quality tests.
  • Perform other statistical analyses as needed.  This may include machine learning to build classifiers for clinical tests.
  • Develop software to perform these analyses. Contribute to documentation and testing of production‐level computational software.
  • Clearly summarize technical findings in oral, written, and graphic forms for internal and external scientific colleagues.
  • Collaborate with a team of laboratory scientists, bioinformaticians, regulatory affairs specialists, and quality assurance specialists.
Requirements

Preferred Education:

  • MS or Ph.D in Statistics, Bioinformatics, Computational Biology, or related field.
  • 2+ years of industry experience preferred. Equivalent post‐doctoral experience will be considered.

 

Preferred Experience:

  • Fluency in scripting languages (e.g. Python, Perl) and statistical software packages (e.g. R) is required.
  • Previous experience working with diagnostic or prognostic tests (lab tests or IVDs) under CLIA, CAP, or FDA guidelines and regulations is highly desirable.
  • Experience with experimental design, and with statistical approaches to build and assess clinical assays and clinical performance, is highly desirable.
  • Experience in developing software for computational analyses of multiplexed assay data is desirable.
How to Apply

Please apply by clicking on the link below: 

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