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    Opportunity: Director of Biostatistics @ VeraCyte--South San Francisco, CA (US)
    Submitted by David Spellmeyer; posted on Monday, June 02, 2008

    (Updated announcement.)


    VeraCyte, Inc. is an early stage cancer diagnostics company addressing the emerging opportunities in personalized medicine. The Company’s strategic vision is to develop a novel molecular cytology approach to minimally invasive diagnosis of cancer, and leverage this innovation to capture market share. The company has spent the last year validating its business model with key stakeholders: physicians, patients and payers, has recently closed a significant round of private equity financing with premier venture capital investors Kleiner Perkins Caufield & Byers (KPCB), Texas Pacific Group (TPG) and Versant Ventures, and is now positioned for rapid expansion and execution of its business plan.


    We are seeking qualified applicants for the position of Director, Biostatistics to become a member of our founding team at our headquarters in South San Francisco. In this hands-on position you will have primary responsibility for the rigorous analysis of complex genomic datasets, and the ability to develop new methodology in this rapidly evolving field. In this position you will:
    • Extract, manipulate, transform, and analyze large, diverse RNA and DNA data sets emanating from the cancer gene discovery and clinical validation efforts
    • Utilize understanding and experience in assessing data quality and data normalization for gene expression and DNA polymorphism data
    • Apply knowledge of classification methods to generate gene signatures for disease prediction
    • Apply skills in advanced mathematics, logic, and statistics to translate these concepts to algorithm development
    • Evaluate data collected as part of ongoing clinical trials as well as mining of data submitted to and available from the FDA
    • Structure clinical trials, specifically in powering sample sets to an adequate level to achieve statistically significant robust biomarkers
    • Work effectively in a highly diverse team-oriented environment, including experimental research and development scientists, computer programmers, marketing personnel and potential customers and clinical collaborators
    • Create statistical analysis plans
    • Create statistical text for study concept documents and protocols (study design, endpoints, sample size, methods for analysis)
    • Develop and maintain standardized statistical approaches and methodology
    • Utilize independent project management skills to ensure timely and reliable results
    • Direct the work of one or more junior employees to achieve timely project deliverables


    • PhD in Statistics/Biostatistics/Mathematics with an emphasis on biologically related systems
    • 7-10 years experience in the field with a proven successful track record in analysis of highly complex and large genomic datasets and algorithm development
    • Track record of managing 1 or more subordinates as well as demonstrated project management success
    • Programming Languages: Fluency in C/C++, Visual C++, C#, STL, MFC, ATL, COM, ADO, DAO, OLEDB, Visual Basic, R, S, Matlab, Shell scripts, Perl and Latex
    • Statistics: statistical modeling, linear programming, linear regression analysis, parametric and non-parametric techniques, principal components analysis and ANOVA etc.
    • Mathematics: mathematical modeling, numerical analysis
    • Mathematical and Statistical Software Packages: R, Matlab, S-PLUS.
    • Other Software Packages: MS Access, MS Excel, SQL Server, SourceSafe, CVS, EMACS etc.
    • OS: Windows, UNIX, LINUX
    • Databases: Oracle/SQL/mySQL
    • Demonstrated experience in software engineering
    • Critical understanding of Genomics and System Biology including one or more areas such as gene expression profiling, human DNA variation, proteomics and pathway analysis
    • Working knowledge of data visualization software, such as Spotfire and PartekHands-on experience with web technologies/packages such as Apache, Wiki, XML, HTML, ASP/JSP/PHP (if we think this person will need to write some web-based software for the product)
    • Good knowledge of object-oriented programming
    • Understanding of biological variability, technical variability, and method variability inherent in microarray and genomic data.
    • Industry experience preferred
    • Oncology data analysis experience a plus
    • Experience in biomarker discovery and selection using gene expression or DNA polymorphism data a plus
    Other skills and attributes
    • Excellent problem solving skills; demonstrated strength in tact and diplomacy working with external and internal collaborators
    • Ability to work independently; exercise good judgment
    • Excellent teamwork and collaboration skills
    • Excellent written and oral communication skills
    • Excellent interpersonal skills


    Veracyte is located in South San Francisco, CA


    VeraCyte offers a competitive salary and benefits package including medical, dental and vision insurance coverage, as well as equity participation.


    Please submit your resume/c.v. with cover letter to jobs[at] VeraCyte is an Equal Opportunity Employer.

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