Senior Computational Genetics Scientist

2 months ago

Slough, Slough, United Kingdom Next-Link Full time
Job Description

Next-Link is seeking a highly skilled Senior Computational Genetics Scientist to join our team. As a key member of our Genetics group, you will play a crucial role in developing and applying cutting-edge analytics and approaches to drive our research and development pipeline.

Key Responsibilities
  • Support the analytical workload within the group, including data analysis, statistical modeling, and computational biology.
  • Lead projects with an outward-facing role, collaborating with colleagues from other functions to deliver against deadlines.
  • Develop and apply advanced computational skills, including proficiency in R, Python, SQL, and bash, as well as experience working in cloud environments.
  • Interpret and present complex data in the context of the question under study, communicating effectively with diverse audiences.
  • Stay up-to-date with the latest developments in computational genetics and statistical genetics, applying this knowledge to drive innovation and improvement within the group.
Requirements
  • Direct experience of analyzing and using genetic data generated through multiple platforms and associated analytical approaches.
  • Expert knowledge of statistics, with specific experience in and application of statistical genetics.
  • Advanced computational skills, including proficiency in R, Python, SQL, and bash, as well as experience working in cloud environments.
  • Ability to interpret and present data in the context of the question under study.
  • Good knowledge of the drug discovery process.
  • Problem-solving skills.
Preferred Qualifications
  • Experience of the application of genetics and genetic approaches to drug discovery and development.
  • Experience of using and querying population databases.
  • Expertise in methods for functional interpretation of genomics data, such as variant and gene pathway mapping and enrichment.
  • Ability to understand and integrate data from other sources, such as transcriptomics and proteomics.
  • Expertise in the application of machine learning or artificial intelligence approaches.
  • Relevant biology expertise.
Behaviours
  • Good interpersonal skills.
  • Ability to work both independently and in a team to deliver against deadlines.
  • Ability to communicate efficiently the outcomes of analytical work to diverse audiences.
  • Ability to work and collaborate with colleagues from other functions.
  • Ability to quickly accumulate new knowledge and the agility to move quickly between diverse projects.
  • Excellent communication skills in English and the ability to use these skills effectively in an international and multicultural environment.

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