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5 years experience as Chief Data Officer or Chief Digital Officer in an AI-driven techbio company, leading computational theoretical chemistry, computational medicinal chemistry, computational biology, bioinformatics, and digital biology.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Deep understanding of biological data sources (e.g., genomics, proteomics, metabolomics) and their integration into knowledge graphs. Required Qualifications: PhD in Bioinformatics, Computational Biology, Data Science, Machine Learning, or a related field.
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Headquartered in San Diego and with employees across the globe, Seismic is the global leader in sales enablement , backed by firms such as Permira, Ameriprise Financial, EDBI, Lightspeed Venture Partners, and T. Rowe Price.
$105,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Implement and optimize NLP model pipelines using frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers, integrating them with existing data infrastructures, including Snowflake for enhanced data management and accessibility.
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O Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave. We are looking for a self-directed professional to support Digital Health Technology [DHT] (wearable sensors) and imaging components set-up and monitoring within clinical trials; specifically focused on the operational initiation/set-up, vendor and digital data/imaging monitoring, and data cleaning process efforts that occur within the Biomeasures Endpoints and Study Technologies (BEST) projects.
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Familiarity with data standards, semantics, terminologies, ontologies (e.g., CDISC, OMOP, NCI, MedDRA, MeSH, RxNorm, OBI, LOINC, UBERON, DOID, or others) is a plus. Understanding of biomedical/biomarker data and/or other life science data.
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Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Use client data and industry losses to perform model validation processes that enhance KCC's latest catastrophe models. Bachelor's or Master's STEM degree - computer science, data science, economics, mathematics, actuarial sciences, engineering, or physics preferred.
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Master’s degree in Bioinformatics, Computational Biology, Biostatistics, Data Science, or related field with 3-5 years’ experience working directly with metabolomics and other -omics data.
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The oligotherapy principal data scientist role is embedded in and directly supports the Oligo Sciences team whose broad remit is the design, characterization, and early development of oligonucleotide therapies.
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PhD in a relevant discipline such as computer science, math, computer engineering, statistics, cognitive science, electrical engineering, bioengineering, data science, etc. The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers.
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PhD degree in bioengineering (or a related engineering-focused field of study), or equivalent experience in industry, with a focus on biosensor platforms, quantitative fluorescence data, or similar.
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data job Title: san diego Company: Feed in Mattapan, MA
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