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Data Scientist

Sweden

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Responsibilities

Location Stockholm, SE Job ID JR-032237

Vanadis Diagnostics, part of PerkinElmer, develops a complete system for investigating chromosome abnormalities during pregnancies based on a blood sample. The system is based on advanced DNA technology and is developed by a group of scientists and engineers with competences in biochemistry, optics, image processing, statistics and software development.

Role description:

  • Development of analysis algorithms.

  • Analysis of experimental data.

  • Software development in Matlab, R, and Python

  • Experience from Java and C++ is an advantage

  • Testing, documentation and implementation of new algorithms

  • Collaboration with internal stakeholders such as Software developers, Business, and Customer support

Role requirements:

  • At least a master’s degree in mathematics, physics, or computer science.

  • Strong interest in mathematical analysis and statistics.

  • Minimum of 3 years of work experience. Algorithm development and documentation experience in medical device development is considered an advantage.

  • Experience in Matlab, R, Java, C++, and Linux command-line interface is an advantage.

  • Dedication, curiosity, and drive.

  • Excellent oral and written communication skills in English.

What we offer:

  • Great team members

  • Dynamic and innovative culture

  • Focus on career development

  • Collaborative and diverse multidisciplinary environment

    Will you be our next top professional? Please apply to this intriguing position as soon as possible and join us today!

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PerkinElmer is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, or veteran status or any other characteristics protected by applicable law. PerkinElmer is committed to a culturally diverse workforce.

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