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PhD in crop science, soil science or a scientific related field. Master’s degree in crop science, soil science, or a related scientific field with 3-5 years of experience within a research-intensive soil science role.
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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Internal Role Title: AD and Senior Principal Scientist, Data Science. Join our vibrant and innovative Computer-Aided Drug Discovery (CADD) team in Cambridge, where we bring together diverse talents to redefine the way NIBR discovery teams validate and develop new targets.
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Cross-functional clinical processes, including data management, biostatistics, medical writing, drug safety/pharmacovigilance, and regulatory affairs. Review protocol and case report forms (CRFs), applicable SOPs, team communications, computer software/IT training, the importance of pharmacovigilance and adverse event reporting so that all team members are not only informed, but also aligned.
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Funding - they are not focused on "how much runway they have" but have folks focused on the science. Ensures efficient and effective data collection and documentation, management and analysis upon study completion, followed by final data reporting.
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Ph. D. in Bioengineering, Biochemistry, Biostatistics, Chemical Engineering, Computer Science, or similar discipline, with 0-5 years of experience and a strong focus on deep learning and/or cell engineering.
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MS or Ph. D. in computational biology, chemical engineering, data-science, operations research, applied mathematics, or other relevant fields. Simulation planning, execution, data analysis, and documentation.
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Proficiency in Python for data science and image processing (e.g., TensorFlow, PyTorch, scikit-image, OpenCV, pandas). A bachelor's degree in a quantitative field (e.g., computer science, biostatistics, electrical engineering, bioengineering, computational biology, or related area) or equivalent experience.
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Associate of Science degree in Nursing (ASN)/College Diploma in Nursing, required. This position may also assist with coordinating aspects of research, including interactions with research staff and study participants, data compilation, IRB prep and submission, grant proposals, and patient recruitment/logistics.
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Ensure archival and inspection readiness of all Data Management Trial Master (TMF) documents. Responsible for performing data management oversight activities in support of Leap Clinical Studies by overseeing the activities of the CRO DMs, from study start-up through to study closeout, to ensure adherence to scope of work and service agreements, and that the deliverables are on time, within budget and are of a high quality.
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Bachelor with 2+ years of experience or Masters with 1+ years of experience of science required for Senior Research Asso c iate role, ideally in fields such as iPS-based regenerative medicine, biomaterial and bioengineering or related discipline.
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As an Environmental Health & Safety Officer (EHS Officer), you will create, implement, and maintain Environmental Health & Safety (EHS) programs for our growing list of life science and high-tech clients.
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SiPhox, a Khosla Ventures, Intel Capital, and Y Combinator-backed startup, is commercializing next-generation diagnostics and label-free proteomics using Silicon Photonics, a platform technology for optics miniaturization that has revolutionized the data center industry over the last two decades.
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Experience with the development of measurement systems including with computer programming for data acquisition (e.g., using Python, Matlab, or LabVIEW) is also desired. These component technologies are used in synergy with quantum information science demonstrations, as well as in standalone applications that include beyond-CMOS circuit technologies, energy-starved sensors, compact optical communication and laser radar transceivers, and microwave photonic signal processing.
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BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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