Data Scientist / Sr. Data Scientist (Diagnostics) (ADX-41-20)

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Data Scientist / Sr. Data Scientist (Diagnostics) (ADX-41-20) 

 

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THE COMPANY: ArcherDX, Inc. - www.ArcherDX.com

 

ArcherDX is advancing molecular diagnostics with a robust technology platform for genetic mutation detection by next-generation sequencing. By combining patented Anchored Multiplex PCR (AMP™) chemistry in an easy-to-use, lyophilized format and powerful bioinformatics software, the Archer® platform enhance genetic mutation identification. ArcherDX provides oncology-focused research products and is pursuing regulatory approval for multiple companion diagnostic assays. ArcherDX is headquartered in Boulder, Colorado. Learn more at www.archerdx.com and follow @ArcherDXInc on Twitter, Facebook and LinkedIn. 

 

POSITION SUMMARY:

 

The Data Scientist/Sr. DS will join our rapidly growing Companion Diagnostics Program and contribute key capabilities and expertise to our analytical efforts. With a focus on creative and purpose-driven approaches to data analytics, the Data Scientist will play a critical role in deriving insights from Archer’s genomic and clinical data. This person will interface with assay development scientists, clinical operations, statisticians, and other data science personnel to promote data-based knowledge and drive new understanding central to Archer’s platform.

 

RESPONSIBILITIES: 

  • Collaborate with scientists and clinical personnel to develop a deep understanding of Archer’s platform and questions amenable to data-based exploration
  • Collaborate with data engineers to develop approaches for capturing and describing data
  • Conduct analyses relevant to a wide range of scientific questions associated with cancer genomics
  • Interpret and communicate findings to scientists and others via written reports and presentations
  • Recognize process improvement needs and collaborate with other personnel to address them

QUALIFICATIONS:

  • 2+ years of relevant professional experience in a life sciences or biotech organization
  • Expertise with principles of data science including familiarity with R and/or Python
  • Quantitative skills including knowledge of statistical models / hypothesis testing
  • Experience with general machine learning approaches
  • Knowledge of genomics, computational biology or bioinformatics, and the fundamentals of molecular biology
  • Exceptional organization skills and attention to detail
  • Ability to work cooperatively and communicate effectively with team members
  • Highly motivated and ability to work independently
  • Experience working with medical devices, diagnostics, and/or oncology assays (Desired)

EDUCATION: 

  • M.S., or Ph.D. degree with a major in a relevant scientific or engineering field
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Location

Conveniently located minutes from downtown Boulder via Pearl Street or the Goose Creek Path. Easily commutable from all directions.

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