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Background in a relevant scientific area, such as drug discovery, therapeutic development, computational chemistry, computer vision, statistics, artificial intelligence, modeling, simulations computational genomics or biology, statistical genetics, data science, chemistry, or biology.
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Masters or PhD. in Chemical Engineering, Bioengineering, Data Science/Engineering, Computer Science, Computer Engineering, or related fields. To develop data analysis applications to automate and improve process development workflows.
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PhD or equivalent in Statistics, Biostatistics, Bioinformatics, Data Science, Epidemiology, Health Informatics, Computer Science or similar field. Open Rank Research Professor - Health Data Science.
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Collaborate with Data Engineering, Data Science, and Software Engineering teams to design systems and products that deliver sports data effectively, enabling the development of engaging features for our customers.
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Provide internal and external training about preclinical science, clinical data, and outcomes. Accredited doctorate degree in a life-science or basic-science discipline (PharmD, PhD, MD/DO, DNP or DSc.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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2 years: Performing ETL/ELT and SQL coding (using tools such as dbt, Azure Data Factory, Matillion, SSIS/SSMS, Tableau Prep Builder) within a cloud-based data warehouse (such as Snowflake, Oracle, BigQuery, etc.
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5+ years of experience providing research and/or data support in business, finance, economics, and/or other social science research environments required. Expert knowledge of financial data platforms such as Bloomberg, Capital IQ, Refinitiv, WRDS, FactSet, and/or other business information platforms.
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Collaborate with Data Science, Infrastructure, and other Analytics teams using tools such as SQL, Excel, Looker, and Google data studio to deliver real-time performance data to the business leadership team, formulate hypotheses, develop models and socialize recommendations that address strategic and operational challenges.
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Educational Outreach: Collaborating with the Head of Tokenization Platform Strategy, and the FDAM investment research, data science and digital asset strategist teams in conducting educational sessions and workshops to enhance awareness and understanding of tokenization concepts and asset tokenization models and token economics.
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Proven experience in large-scale data science and/or computational biology. They will have a deep background and track record in data science and programming, with exceptional organization and communication skills.
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Develop and apply bioinformatics, computational biology, and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with an initial focus on proteomic data.
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Harness the power of Databricks Delta Lake and Parquet files for data warehousing, query optimization, and data versioning. Expertise in using Databricks platform on AWS for data processing and analytics.
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data science jobs Company: Fidelity Talentsource Llc in Boston, MA
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