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Bachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.
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A bachelor s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included a minimum of 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.
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Bachelor’s or graduate degree in Health Informatics, Public Health, Data Science, Epidemiology, Biostatistics, Public Policy, Health Policy, Health Services Research, Health Information Sciences, Computer Science, or a closely related field.
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Experience with data and data science frameworks such as numpy, pandas, sklearn, nltk, statsmodels, OpenCV, XGBoost, PyTorch, Tensorflow, Keras, etc. This position will join a team that uses that uses a combination of statistical analysis, data science, machine learning, and artificial intelligence techniques to solve our business partners’ most pressing problems and help our customers better understand their risks.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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Masters Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelors Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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1- 3-year minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
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Bachelors Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field. We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development.
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Bachelor's or Master's STEM degree - computer science, data science, economics, mathematics, actuarial sciences, engineering, or physics preferred. Use client data and industry losses to perform model validation processes that enhance KCC's latest catastrophe models.
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This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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Exposure to data and data types in the Materials science, chemistry, computational chemistry, physics space a definite plus, but not required. Knowledge of data visualization tools like Dash Apps, Tableau, Power BI, etc.
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A Ph. D. in computer science, AI/ML, data science, mathematics, statistics, applied linguistics/psychology/neuroscience and related fields, or 5+ years of equivalent experience. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, linguistics and physics.
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