Senior Scientific Software Developer

at  ZS Associates

Kongens Lyngby, Region Hovedstaden, Denmark -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate12 Jul, 2024Not Specified13 Apr, 20244 year(s) or aboveNatural Sciences,Informatics,Patient Outcomes,Research,Bioinformatics,Version Control,Unit Testing,Computer Science,Jira,Data Science,Python,Git,Data Processing,Scientific Analysis,Algorithms,Therapeutic Modalities,Transformation,Early Development,CodeNoNo
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Description:

  • Lyngby, Denmark
  • Denmark
  • Specialized Group
  • Medical & Scientific EC
  • 19736
    ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and that’s why here your ideas elevate actions, and here you’ll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change lives.

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Responsibilities:

  • Develop systems, tools and products to process scientific data and perform scientific analysis (Implements code according to specification, tests developed code and corrects any issues, release and deploy developed systems to production);
  • Develop systems in the following technologies/areas; frontend code in Web browser for visualizations and interactions, backend code for API implementations to process, retrieve and store data, web server-based API’s, proprietary API’s from 3rd party or internally;
  • Create code using Python and also JavaScript, R, C#, and terminal based programs in Unix or Windows environment as needed;
  • Use agile framework to plan and track development with tools like JIRA to specify and track tasks, and control code versions using GIT or similar;
  • Ensure good quality of code by applying unit testing and automated tested when appropriate;
  • Implement data processing by algorithms from literature and biological data formats like RNASeq Fasta files, DICOM, FCS, VCF, tabular data


REQUIREMENT SUMMARY

Min:4.0Max:9.0 year(s)

Information Technology/IT

IT Software - Application Programming / Maintenance

Software Engineering

Graduate

Proficient

1

Kongens Lyngby, Denmark