Open position – Postdoctoral Position in South Korea – Won Lab – SKKU

    Open position - Postdoctoral Position in South Korea - Won Lab - SKKU

    Postdoctoral position in South Korea, to work on (1) genomics, (2) bioinformatics, (3) deep learning, and (4) machine learning, at Genomics & Digital Health Laboratory (Won Lab), SKKU Sungkyunkwan University

    Postdoctoral research scientist to work in Genomics & Digital Health Laboratory (Won Lab) Sungkyunkwan University



    Position

    Postdoctoral Position

    No. of Position(s)

    1

    Salary

    According to SKKU regulations

    Workplace

    WonLab
    Research Center for Future Medicine
    Seoul, South Korea

    Contract period

    Not specified

    Inquiries

    PROF. WON’S OFFICE
    B4-125, Cancer Center, Samsung Medical Center, 81, Ilwon-ro, Gangnam-gu, Seoul, South Korea.

    LABORATORY
    Research Center for Future Medicine, 4F Samsung Life Insurance Co. Bldg, 115, Ilwon-ro, Gangnam-gu, Seoul, South Korea.

    Qualifications

    Candidates should have PhD in related fields

    Requirement area

    • Genomics
    • Bioinformatics
    • Deep learning
    • Machine learning

    How to Apply?

    • Email submission (Click apply now button to send an email with the necessary documents)
    • If you have a strong background in at least two of the fields mentioned above, please send a merged PDF of your following documents

    Documents required

    • CV
    • Contact information of two references
    • A brief statement of research interests, and PDFs of your three best papers

    please note ‘[SAIHST postdoc]’ in the subject line.

    About WonLab (Genomics & Digital Health Laboratory)

    Our main interests are human genomics and digital health informatics

    Specifically, we, as a team, pursue successful combinations of advanced informatics skills and biomedical developments to understand the genetic bases of human disease and improve healthcare. We welcome applications from prospective students and postdocs. We seek highly motivated and creative scientists to join us.

    Our Research Interests

    Medical & population genomics

    Since the Human Genome Project, genome-wide association studies (GWAS) have been successful in identifying common genetic variants that are associated with diverse human diseases or traits. However, only a small portion of heritability of the diseases or traits has been explained by the discovered common variants. Among many possible factors for ‘missing heritability’, rare variants with large effects are expected to make a major contribution to the missing heritability.

    Our lab identifies disease-causing genes and treatment targets by utilizing advanced genomic technology (next-generation sequencing and statistical approaches for rare variants).

    Digital health informatics

    Future of medicine is summarized as P4 medicine, a discipline that is predictive, personalized, preventive and participatory. P4 medicine will improve healthcare substantially and enable precision medicine. Recent advances in mobile and wearable devices and genomic technology generate unprecedentedly huge and digitized health information. Not only academic but also industrial organizations are currently working on digital healthcare. Digital healthcare informatics encompass genetic, environmental and behavioral components of personal health. Genomic and clinical data collected in Samsung Medical Center can be also utilized.

    Our lab members with various expertise collaborate together towards this goal.

    Machine learning, Artificial intelligence & Big data analysis

    Data-driven medicine is a key aspect of future medicine. Machine learning techniques are very useful in generating data-driven hypotheses (ex., identifying unknown causal factors for disease) and prediction models of diagnosis and prognosis. In particular, deep neural network can be applied to unstructured data such as medical images, DNA sequences, etc.

    Our lab uses statistical and machine learning methods to address various biomedical questions.


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