Senior / Principal Data Scientist

Logo for Eagle Genomics
Apply

Before you apply - don't miss out!

Subscribe to our weekly job alert

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

Organisation
Eagle Genomics
Locations

London / Cambridge

Application Deadline

This is your opportunity to join a pioneering company working at the intersection of two exciting areas: life sciences and data science. We’re at the centre of the digital reinvention of life sciences R&D, using the latest technologies to enable data-driven discovery.

As we plan for ambitious, accelerated growth, we have expanded our network of offices in technology and innovation hubs around the world: in the UK, Germany, India, the US, France, and Ukraine. So, the stage is set to make great steps forward.

Department: Data Science

Permanent – Full Time

Location: United Kingdom - Flexible remote working with occasional travel into either the London or Cambridge office, as well as some travel to Eagle’s European offices.

The Job:

We are looking for a broad level of experience: from senior data scientists to principal data scientists with many years of commercial and/or academic experience.

  • You will work jointly with scientists, bioinformaticians and data/software engineers to make sense of a variety of data sources.
  • You need the capacity to analyse large amounts of data, build predictive models and machine-learning algorithms and generalise such models into packageable and reusable data science tools.
  • The ability to innovate, abstract and create is key.
  • You will work with complex, meshed, and hyper-dimensional data, combine modelling techniques, and generalise them.

Requirements

Essential:

  • Strong programming experience in either R or Python.
  • Working knowledge of Linux
  • Proven track record in analysing and interpreting large data sets and statistical analysis
  • Degree in relevant fields such as statistics, computer science, computational biology, etc.
  • Solid knowledge of machine learning and deep learning techniques
  • Highly organised with a meticulous attention to detail.
  • The ability to communicate clearly and effectively with specialists from your own and other fields
  • A Ph.D. degree is not required but preferred.

Experience in at least one of the following domains:

  • Natural Language Processing
  • Bioinformatics, Biostatistics or Genetics
  • Graph-based methods and knowledge graph analysis and inference
  • Causal analysis and inference

Nice to have:

  • Industrial experience working with a multidisciplinary team
  • Publications in academic setting and patents in commercial setting

Apply

Not what you're looking for?

Use our search to find your ideal career opportunity

Search term is required
No jobs were found
Total of [[ totalJobs ]] jobs were found

[[ jobs.name ]]

[[ jobs.location ]]
[[ jobs.salary_min|decimals ]] - [[ jobs.salary_max|decimals ]]
[[ jobs.posted_time_friendly ]]

Featured Jobs

Luiss Guido Carli

Roma

February 15, 2022

Foreign Commonwealth & Development Office

February 07, 2022

Qualifications Wales

February 01, 2022

Lloyd’s Register Foundation

February 06, 2022

NSPCC

February 08, 2022

Decision Analysis Services Ltd (DAS)

January 31, 2022

Home Office

January 30, 2022

Our Partners

Logo for Dstl
Logo for Prifysgol
Logo for Bank Of England
Logo for Cma
Logo for Frontier
Logo for Logo
Logo for Mit Logo

Like what you see?

Post a job