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Trenton

    Senior Data Scientist, Translational Data - Trenton, United States - Invenex Search

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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

    #J-18808-Ljbffr


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