illumina

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Job Description

Illumina’s NIPT (Non-Invasive Prenatal Testing) Bioinformatics group are looking for an enthusiastic and highly numerate bioinformatician to join their team based in Cambridge, UK to support the development of new NIPT products and help maintain on-market solutions.

Members of the team work in close collaboration with wet lab scientists to support assay development and with software engineers to support software development. The team is responsible for experimental design, data management, data analysis, algorithm development and bioinformatics software development. The ideal candidate will be able to work in a cross-functional team, translating the challenges faced by the group into bioinformatics solutions. The position requires a quantitative background in order to be able to define the appropriate statistical model or algorithmic approach for a given problem.

Responsibilities include but are not limited to:

Build robust pipelines and ad-hoc scripts to analyse sequencing data and organize the results to enable further analysis
Write production-quality implementations of data normalization and machine learning algorithms for inclusion in Illumina’s DRAGEN Bio-IT software
Support the assay development team with experimental design and data analysis
Assist in developing and optimizing novel algorithms to improve product performance and patient outcomes
Regular communication of analysis results and other findings to a cross-functional team
Produce documentation of data analyses, custom software tools or software development activities to meet the requirements of IVD product development
Act as a subject matter expert in response to customer queries or other questions raised by the service and support teams

Skills and experience

Required

Proficiency in scripting using python or bash
Comfortable working in a UNIX environment
Demonstrated ability to write readable, well-documented and unit-tested code
Proven ability to answer questions by identifying, cleaning, analysing and visualizing data
Solid understanding of statistics, linear models and machine learning techniques
Experience with C++, C or C#
Able to communicate complex technical concepts to a non-technical audience

Desirable

Experience with version control systems (e.g., GitHub)
Proficiency in using R and the tidyverse for data analysis
Experience working with Next-Generation Sequencing data or other genetic information

Education

Typically requires a masters degree or PhD in bioinformatics, computational biology, mathematics, statistics, physics, computer science or related discipline
Biology or genomics knowledge preferred

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