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As the Credit Portfolio, Senior Product Marketing Manager, you will improve outcomes for sellers and the credit portfolio by working across all credit products and teams including Product, Engineering, Data Science, Design, Creative, Capital Markets, Risk, Legal, Compliance, and Credit Policy.
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As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines.
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Computer Science fundamentals in data structures, algorithm design and complexity analysis. Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Requirements Education Bachelor’s degree from an accredited college or four-year university in instructional design, instructional technology, education, communications, computer science, information systems or closely related field or related equivalent experience.
$40.27Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Required Qualifications: Ph. D. in chemistry, materials science, physics, bioscience or a field relevant to nanoscience (or equivalent experience), and an internationally recognized record of scientific accomplishments and current scientific leadership related to Foundry research.
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A Master's Degree in: Social work or social welfare; Marriage, family, and child counseling; Child psychology, child development; Counseling psychology, social psychology; Clinical psychology or Educational psychology; Education with a counseling emphasis; or Equivalent Master's Degree in human services or behavioral science degree as determined by the licensing agency.
$77,639ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
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Knowledge of medical/oncology process and terminology; experience and knowledge of IRB policy and procedure; background in science/medicine preferably in hematology/oncology. Working knowledge of clinical or laboratory research, clinical trial recruitment, eligibility, protocol adherence, quality data submission and adverse event reporting.
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You have a solid foundation in computer science with strong competencies in data structures, algorithms, and software design. You might be a good fit if :You have 2+ years of industry software engineering experience or a Bachelor's degree in Computer Science.
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The Department of Anesthesia and Perioperative Care at UCSF provides outstanding patient care, promotes cutting-edge basic and clinical science research, and educates the next generation of health care providers while focusing on increasing diversity, equity, and inclusion across the organization.
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Partner with cross functional teams such as data science, data engineering, product analysts, experimentation and instrumentation teams to contribute to advanced models (MMM, MTA), data pipelines and instrumentation, and build testing roadmap.
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The regional Medical Science Liaison (MSL) serves as a key field-based clinical resource for compliant scientific exchange about Rigel research, products, and associated disease states with healthcare providers, payors, other industry partners, as well as internal colleagues at Rigel.
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Strong knowledge of statistics, experiment design, data science hypothesis and ML problem framing. What would make you a strong fit:Practical understanding of machine learning and data science concepts, and a track record of solving problems through rigorous ML paradigms.
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Proven track record of selling bioanalytical instruments and reagents to biotech, biopharma, and life science research labs. This is an exceptional opportunity to further your career within the biotech sales industry, contributing to a company that's making significant strides in bioanalytical technology.
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In this role, you will collaborate closely with several teams, including trust & safety product and operations, policy, brand safety, localization, content & creators, engineering, and data science.
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political science jobs Title: data scientist in San Francisco, CA
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