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Requires a Bachelor’s degree from an accredited university or college in Medical Technology or Clinical Laboratory Science which includes successful completion of a supervised course of clinical internship in an approved hospital laboratory, or a Bachelor’s degree in an applied science (for example Chemistry, Biology or Biochemistry.
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Our data science team is an integrated team ranging from computational biology, bioinformatics, computational drug discovery, research informatics and data engineering. Reporting to the Senior Director of Data Engineering, the candidate will work collaboratively with biologists, chemists, and data scientists, leveraging skills in data engineering to enable data capture, integration, reporting, and computational insight delivery from our computer systems to support hypothesis generation, data insights, and data science for advancing Fog preclinical drug discovery.
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Keywords: patent agent, electrical, computer science, software, electrical engineering, patent prosecution agent, patent opinions, software patents, computer engineering, electronics, telecommunications, patent agent, patent law, IP associate, intellectual property.
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Work closely with individual clinical teams as well as functional area partners (e.g., Translational research, Precision Medicine and diagnostics, Regulatory Affairs, Market Access, Clinical Development) to identify and implement end-to-end Data Science solutions aimed at facilitating decision making.
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Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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With the scientific leadership, this role will evaluate and establish strategy and goal setting for the department (including its Core lab) and drive implementation of the department strategic initiatives.
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Works cross-functionally with other internal groups (eg, Clinical Operations, Biometrics, Data Management, Pharmacovigilance & Drug Safety, Translational Medicine, Preclinical Science, Regulatory Affairs, Medical Affairs, Business Development, and New Product Planning.
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Advanced Clinical/Science degree preferred (e.g., PharmD, PhD, MSN, MPH, MD with no post medical school experience, etc.) The Associate Director, Clinical Science will support Clinical Science deliverables for clinical trials and programs associated with the clinical development of molecules in the stages of clinical development (Phase I – III.
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Master's or PhD in Computational Biology, Computer Science, or a related field with 6 + years of experience. Work with colleagues in data science and machine learning teams to establish protocols to feed analyzed assay data to our machine learning models.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sagemaker, Snowflake Cortex etc. Bachelor’s degree in Computer Science, Information Systems, Software Engineering or similar field.
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Support efforts of the Office of Teaching and Learning by creating, curating, or identifying tools and resources to support system-wide priorities and policies as they relate to History/Social Studies, including the implementation of the History/Social Science Framework, the BPS Essentials for Instructional Equity, and the Essential History/Social Science practices.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Ph. D. degree in the field of Immunology, Biochemistry, Biology, or other life-science field with 2+ years of bioanalytical industry experience in regulated environment; or Master’s degree of Science in a similar field with 5+ years of bioanalytical industry experience, or Bachelor’s degree with 10+ years of industry bioanalytical experience.
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Quantitative and computational skills (e.g. Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Biomedical Informatics, Biometrics, or Data Science for Health) Contributions to data processing, analyses, and interpretation are expected, alongside overseeing a team of scientists and engaging with science leaders at biopharma partners for strategic and scientific planning.
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Strong understanding of scientific sampling methodologies and the state-of-science on a broad range of terrestrial, wildlife, soil, and water quality issues. Requirements You will have the following skills and qualifications Ph. D. in Water Resources, Environmental Science, Ecology, Environmental Engineering, or another related field.
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envelope science jobs in Waltham, MA
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