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    Computational Biology internship at - Solna, Sverige - Moleculent

    Moleculent
    Moleculent Solna, Sverige

    för 1 vecka sedan

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    Moleculent is looking for a skilled, driven, and dedicated candidate for an internship.

    Are you a passionate and talented individual with strong analytical skills and a keen interest in unraveling the mysteries of biological data using cutting-edge technology? Do you want to kick start your career? We have the perfect opportunity for you Join our team and work towards a meaningful cause in a dynamic startup environment with smart and friendly individuals in a very innovative team.

    Moleculent is on a mission to build products that yield new insights into the molecular foundation of human biology. This is a chance for you to join a focused and dedicated team with extensive experience building successful life-science companies and products.

    The internship opportunity is on-site in Solna, Stockholm. The start date is as soon as possible, extending until December 2024.

    Kindly note that for this position, applicants must possess a Swedish work visa independent of sponsorship.

    WHY JOIN US?

    • Engage in groundbreaking technology development.
    • Collaborate with a diverse and passionate team of scientists and researchers.
    • Opportunity for professional growth and skill development.
    • Contribute to projects that have a real impact on advancing our understanding of biology.

    JOB DESCRIPTION

    You will be a part of the Computational Biology team, and your scope will include cross-functional work within the company.

    Key responsibilities include:

    • Apply image processing techniques to extract meaningful insights from complex biological images.
    • Apply advanced algorithms for image segmentation, feature extraction, and pattern recognition.
    • Use machine learning to develop models for predictive analytics and classification of biological data.
    • Collaborate with other members of your team to integrate machine-learning approaches into analysis pipelines.
    • Utilize your understanding of biological processes to interpret and contextualize data outcomes.

    The exact nature of the project will be tailored depending on your background and ongoing projects.

    QUALIFICATIONS

    To be qualified for the internship, you must have a bachelor's, master's degree, or possibly a Ph.D. in bioinformatics, computational biology, or a related field. Applicants with a biological sciences background and bioinformatics experience are welcome to apply. Fluency in written and spoken English is required.

    To excel at Moleculent and thrive in this role, strong analytical skills and attention to detail are paramount. This includes the ability to contextualize technical findings and effectively communicate them to colleagues across various domains of expertise.

    It is important that you are focused on communication and teamwork and that you can stay comfortable and productive in a dynamic, fast-paced, and changing environment.

    We believe in building a passionate, focused, transparent, world-class, and fun company culture. We encourage you to apply for this exciting opportunity if you recognize yourself in these core values.

    MOLECULENT

    We believe that our understanding of the molecular basis of human biology, in health and disease will increase radically in the coming ten years. This will lead to a vast improvement in therapies, and diagnostics, and a new, fundamental understanding of our own biology.

    Moleculent is on a mission to develop technology-enabled products that leverage new insights into the molecular foundation of human biology.


  • Pixelgen Technologies

    Computational Biology Intern

    för 1 vecka sedan


    Pixelgen Technologies Solna, Sverige

    The Role · We are looking for a talented student in his/her last year of studies to join us for a three months internship with the possibility of an extension. As a part of the computational biology team, you will develop algorithms, perform analysis and run simulations to m ...