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Posts Tagged 'Cambridge'

We are pleased to present below all posts tagged with 'Cambridge'. If you still can't find what you are looking for, try using the search box.

Software Engineer (Placement Year) - Core Engines

We would like to invite a current undergraduate student to join our team of collaborative software engineers for a year-long (10-12 month) placement.

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Software Engineer - Core Engines

We are building a team of collaborative software engineers to transform drug discovery and improve human health. We value well-crafted software and clean architecture, developed through a steady process of incremental change.

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Senior Software Engineer - Core Engines

We are building a team of collaborative software engineers to transform drug discovery and improve human health. We value well-crafted software and clean architecture, developed through a steady process of incremental change. Our software developers continually strive to master new technologies and techniques, and always aim to choose the right tool for the task at hand. We reserve 10% of our working week for the exploration of new ideas, and share what we have learned with each other through mentorship, pair programming, and tech talks. We work in productive partnerships with our data scientists, statisticians, and domain experts to advance our understanding of the human wiring diagram.

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Precision Health Data Scientist

We are seeking exceptional Data Scientists interested in the challenge of developing state of the art personal risk prediction algorithms that build on Genomics plc’s data engine. As a Precision Health Data Scientist, you will integrate diverse genomics and environmental data to make precision health care a reality. While a background in genetics or risk prediction is not required, an interest in learning about genetics, and how to solve big problems in healthcare is a must.


You should have:

  • A strong quantitative background, and most likely a PhD, in a STEM subject
  • Experience with scientific programming languages, either Python or R.
  • Proven experience of learning from large-scale data sets in a scientific or engineering context.
  • The ability to summarize and visualize complex datasets to look for patterns and potential biases
  • The ability to discuss and explain complex ideas to both specialists and non-specialists.
  • Working knowledge of risk prediction and survival analysis
  • The ability to understand complex concepts from outside your own field.

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Data Scientist (Oxford or Cambridge)

We are seeking exceptional Data Scientists interested in the challenge of developing state of the art personal risk prediction algorithms that build on Genomics plc’s data engine. As a Precision Health Data Scientist, you will integrate diverse genomics and environmental data to make precision health care a reality. While a background in genetics or risk prediction is not required, an interest in learning about genetics, and how to solve big problems in healthcare is a must.


You should have:

  • A strong quantitative background, and most likely a PhD, in a STEM subject
  • Experience with scientific programming languages, either Python or R.
  • Proven experience of learning from large-scale data sets in a scientific or engineering context.
  • The ability to summarize and visualize complex datasets to look for patterns and potential biases
  • The ability to discuss and explain complex ideas to both specialists and non-specialists.
  • Working knowledge of risk prediction and survival analysis
  • The ability to understand complex concepts from outside your own field.

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Scientist/Senior Scientist (Rare variant analysis) (Oxford or Cambridge)

We are recruiting scientists to build on our existing rare variant analysis infrastructure for whole exome and genome datasets. Projects include statistical methods development and new target discovery analysis of patient data from in-house datasets.

You should have:

  • A strong background in human disease and/or population genetics.
  • Experience analysing whole-genome or whole-exome sequencing data (e.g. variant calling and QC, statistical association analysis, interpretation of rare variant signals in complex disease).
  • Experience in standard statistical approaches and modern computational tools.
  • The ability to summarize and visualize datasets to look for patterns, signals, or potential biases.
  • The ability to explain your ideas to both specialists and non-specialists.
  • The ability to work well as a member of a team

We have positions for a range of expertise, from those who have recently completed, or are due to complete, their PhDs to postdoctoral fellows and staff scientists. We will consider candidates interested in moving into genetics from other areas of data science.

 

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Scientist/Senior Scientist (Functional genomics) (Oxford or Cambridge)

We are starting an exciting new analysis programme to integrate large-scale functional genomics data sets with our in-house database of genotype-phenotype associations. The goal of this programme is to understand the functions of disease variants at the cellular and molecular level, to help refine our ability to accurately detect promising candidate drug targets.

You should have:

  • A strong background in human disease genetics, including large scale data analysis.

  • Extensive experience in the statistical analysis of modern -omics data sets (RNA-seq, ChIP-seq, ATAC-seq or similar)

  • Experience in standard statistical approaches and modern computational tools.

  • The ability to summarize and visualize datasets to look for patterns, signals, or potential biases.

  • The ability to explain your ideas to both specialists and non-specialists.

You should ideally also have:

  • Previous experience analysing genome-wide CRISPR screens.

We have positions for a range of expertise, from those who have recently completed, or are due to complete, their PhDs to postdoctoral fellows and staff scientists. We will consider candidates interested in moving into genetics from other areas of data science.

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Scientist/Senior Scientist (CRISPR screen analysis) (Oxford or Cambridge)

We are launching a new initiative to integrate the growing amount of genome-wide CRISPR screen data into our state-of-the-art common and rare variant genetic analyses. By bringing together population and engineered genetic variation into a unified statistical framework, we believe these data can be even more powerful.

You should have:

  • A strong background in human disease genetics, including large scale data analysis.
  • Experience in standard statistical approaches and modern computational tools.
  • The ability to summarize and visualize datasets to look for patterns, signals, or potential biases.
  • The ability to explain your ideas to both specialists and non-specialists.

We have positions for a range of expertise, from those who have recently completed, or are due to complete, their PhDs to postdoctoral fellows and staff scientists. We will consider candidates interested in moving into genetics from other areas of data science.

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Scientist/Senior Scientist (Common Variant Analysis) (Oxford or Cambridge)

We are building our extensive team of common variant analysts to develop and apply our proprietary methods on the world’s largest database of common variant associations to human diseases and traits. This is a tremendous opportunity to use the revolution of genetics to change a major aspect of healthcare.

You should have:

  • A strong background in human disease genetics.

  • Experience analysing GWAS datasets.

  • Experience in standard statistical approaches and modern computational tools.

  • The ability to summarize and visualize datasets to look for patterns, signals, or potential biases.

  • The ability to explain your ideas to both specialists and non-specialists.

We have positions for a range of expertise, from those who have recently completed, or are due to complete, their PhDs to postdoctoral fellows and staff scientists. We will consider candidates interested in moving into genetics from other areas of data science.

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Principal Scientist (Oxford or Cambridge)

We are seeking experienced scientists to lead our project teams working on rare variant analysis, common variant analysis, CRISPR screen analysis and functional genomics. This is an opportunity to play a key role in a computational therapeutics company with access to amazing data, an outstanding senior leadership team and a growing network of partners who provide direct opportunities for translation.

You should have:

  • A strong background in human disease genetics, including a strong publication record or industry track record.
  • Experience in a scientific leadership role (e.g. academic PI or industry team lead).
  • The ability to motivate other scientists to produce their best work.
  • A well articulated vision of how genomic science can transform drug discovery
  • A record of influencing other senior scientists and executives.

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