Applied Proteomics
Job Location
3545 John Hopkins Court Suite 150
San Diego, CA 92121

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.

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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