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    Senior Data Scientist, Translational Data - New Jersey, United States - Invenex Search

    Invenex Search
    Invenex Search New Jersey, United States

    3 weeks ago

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    Description

    Invenex Search is partnered with a global oncology biopharma client with a market cap north of $20B, focused on antibody therapeutics for cancer. We are searching for a (Senior) Translational Data Scientist.

    The client is based in New Jersey, and will require a weekly on-site presence. As a result, we will support relocation with a financial package that can be utilised inside 12 months of your start-date.

    Responsibilities

    • You will contribute to several clinical development programs to help identify appropriate biomarkers, mechanisms of action, and new indications
    • Utilising various cutting-edge data science tools; AI, ML, Deep Learning, etc.
    • You will work on the following data types; clinical response, tumor transcriptomic/genetic data as well as imaging and circulating biomarkers to support various drug candidates
    • You will help design, expansion, and maintenance of internal data curation and analysis pipelines.
    • You will stay up to date and contribute to various scientific literature - scientific publications are encouraged in this group.

    What do we need from you?

    • You hold a MS or PhD degree in computational sciences with a strong background in immunology, oncology, or biology, or vice versa.
    • You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus.
    • You have applied experience in clinical trials in the oncology setting.
    • You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc).
    • Machine and Deep Learning expertise is a requirement

    Interested in learning more?

    Apply directly or reach out to to discuss further.

    Keywords: Translational, Clinical, Genomics, Omics, Pharma, Biopharma, Biomarker, Cancer, Immunology, Deep Learning, Machine Learning, ML, AI, DL, Bioinformatics, Computational Biology, Biopharmaceutical

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