Bioinformatics / Baltimore, Maryland

Statistical Programmer

Job Description:

Personal Genome Diagnostics (PGDx) is Empowering the Fight Against Cancer by unlocking actionable information from the genome. We are developing an innovative portfolio of regulated tissue-based and non-invasive liquid biopsy genomic products for laboratories worldwide.


PGDx seeks a highly motivated, professional Statistical Programmer who will provide statistical programming support across PGDx’s product design and development projects. Data is a critical component in the design and development of our products and services. The Statistical Programmer will directly impact our products, customers and patients.

Responsibilities:

  • Author and execute statistical analysis plans in coordination with stakeholders with appropriate use of statistical methods rooted in industry best practices

  • Develop and maintain statistical software systems using software engineering best practices

  • Analyze datasets, present, communicate and document results and conclusions both orally and in written form

  • Provide subject matter expertise in study design and analysis

  • Select appropriate statistical tools for addressing scientific questions

  • Support responses to statistical queries from regulatory bodies

  • Develop statistical training programs for different areas in the company

  • Produce TLFs (tables, lines, forms) for study SAPs, programming in R

Required Qualifications:

  • Bachelor’s, Master’s or PhD degree in Statistics or Biostatistics or related field

  • 2+ years’ experience in work directly related to biostatistics

  • Excellent programming skills in R

  • Team-first attitude and entrepreneurial spirit

  • Ability to deliver within fixed deadlines

  • Excellent problem-solving skills and ability to learn quickly on the job

Preferred Qualifications:

  • Master’s degree in related field preferred

  • Familiarity with concepts in genomics and bioinformatics analysis of cancer.

  • Experience with agile software development methodology and practices, git source control, and Atlassian tools (JIRA, Confluence, Bitbucket, Bamboo)

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