Bioinformatics Pipeline Developer

Inivata The Portway Building, Granta Park United Kingdom Computational Biology
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Company Description

Inivata, a global cancer genomics company, is transforming personalised healthcare in oncology by utilising the precision of circulating tumour (ctDNA) analysis.  Using a simple blood sample, ctDNA testing is a new tool for oncologists to detect cancer, stratify patients, and assess individual response to treatment. Inivata’s world-leading ctDNA expertise, cutting-edge technology, and advanced bioinformatic analysis detects and characterizes cancer-related mutations, enabling non-invasive testing at multiple points along the cancer care cycle. Inivata’s InVision® ctDNA assay provides a highly sensitive analysis of a strategically selected gene panel to identify actionable mutations for oncologists to treat their patients optimally. 

Inivata is a fast-paced, dynamic company at the forefront of cancer diagnostics.  There is a strong cross-functional dedicated team who are passionate about transforming cancer care and treatment for patients.

Position

The R&D Computational Biology group are looking to recruit a highly motivated, creative and logical individual with strong bioinformatics and computational skills. This role will be placed within the newly formed pipeline team which oversees the development and maintenance of the company’s production pipelines. The candidate will work closely with the bioinformatics, software development and system administration teams to develop new pipelines into robust and scalable products. The candidate will have strong communication skills, a delivery focused attitude and the ability to interface with different teams. This position offers the exciting opportunity to work at the frontier of liquid biopsy-based cancer diagnostics, seeking entire product development pipeline from concept, clinical validation, to commercial product.

This role will involve applying a deep understanding of HPC to the analysis of NGS cancer genomics variant data and innovative algorithm design. We expect that applicants will have prior experience in the field of bioinformatics and a solid background in pipeline development and optimisation in relation to NGS analysis; for example, an MSc or PhD degree in a relevant field and/or industry experience.

There is flexibility for the exact profile and experience of the applicant, provided that they can demonstrate qualities in the general area of computational Biology and the motivation to join a rapidly growing company in the field of cancer genomics.

Key Responsibilities

  • Develop and scale algorithms and pipelines to production ready, regulatory compliant software products
  • Interface between bioinformatic, software development and system administration teams to prioritise and organise work
  • Contribute to quality management of the software development process and development of systems that conform to regulatory standards

Requirements

Education/Qualifications

BSc/MSc in fields of computer science or software development or PhD in computational biology / bioinformatics.

Requirements

  • Proven track record with development and optimisation in HPC (essential)
  • Full working proficiency in Python and shell scripting (essential)
  • Proficiency in software versioning systems, eg. git, svn (essential)
  • Experience with implementation and maintenance of NGS data analysis pipelines (desired)
  • Proficiency in R (desired)
  • Proficiency in a compiled language, preferably C or C++ (desired)
  • Experience with algorithm and systems design for parallel computing (desired)
  • Experience with Docker (desired)
  • Experience with AWS products, including EC2, Batch, S3, Lambda (desired)
  • Prior experience with work in a regulated environment, in particular for software and quality assurance, such as ISO 13485, EN 62304, ISO 15189, or other (desired)

Other information

Inivata Ltd is based in Cambridge, UK. 

To Apply, please use this link: https://cezanneondemand.intervieweb.it/inivata/jobs/bioinformatics_pipeline_developer_7321/en/

The closing date for this vacancy is: 22nd October 2019