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Data Analyst-Scientist

Lifelancer
On-site
Oxford, United Kingdom



This challenging role sits at the intersection of science and data. Oxford Nanopore platforms utilise a combination of biological, chemical, electronic and algorithm components to produce and read the electronic signal as DNA passes through a pore at nanoscale.


The role will suit somebody who is passionate about science, an enthusiastic listener and communicator who is happy to get into the details of how complex systems function and can match that to the story data is telling.


All components from sequencing chemistry kits to nanopores to electronics influence the characteristics of the data we generate. Rich information is captured about sequencing performance from most sequencing runs, both internally and from many customers. This large data set can be used to look prospectively at the influence of forthcoming suggested changes to all components as we test them in-house. It can also be used to rapidly identify emerging trends in performance in the field. Your role is to exploit that data and work with our talented scientists, engineers, product managers and technical support to make iterative improvements to our products and support.


You will need to quickly establish a strong understanding of the science behind the product and subsequently continue to work closely with scientists across the company to understand what factors can help drive improvements in performance and make the changes that implement those improvements.


What we are looking for...



  • The ideal candidate will possess genuine expertise in a relevant scientific area, some programming skills and be interested in interpreting data and generating real insights. As importantly they will demonstrate a real enthusiasm for science, data and working with a diverse range of specialists. With a degree in a relevant subject you should also have the following skills:

  • Proven ability to interpret large and complex datasets

  • Creative problem solving skills

  • Good data instincts (assess degree of confidence in findings, detect data quality issues, identify inconsistencies)

  • Python scripting

  • Possess excellent attention to detail

  • Able to apply scientific rigour


Experience in some of the following routinely used or similar technologies is expected:



  • MySQL

  • MongoDB

  • Tableau/Spotfire

Please use the below link for job application and quicker response.

https://lifelancer.com/jobs/view/5f5af67bc52980b86bc4d2a57a7d3eb2