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, high-throughput screening and cell-based screening (e.g., luciferase assays, high-content imaging, massively parallel/multiplexed assays, etc.) is desirable but not required. • Ability to interpret and
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access to the resources, reach, and expertise of a large pharmaceutical company to conduct breakthrough and innovative research. Responsibilities: Build novel natural language processing (NLP) and
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to ensure data integrity and may assess and recommend new data procurement and processing software and database programs. The BI Analyst is required to ensure the work is aligned with corporate
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/ statistical analyses in one or more of the following programming environments: R, Python, bash, MATLAB, JAVA, etc. 4. Experience using computing clusters (batch processing), cloud computing services, and
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/statistical analyses in one or more of the following programming environments: R, Python, bash, MATLAB, JAVA, etc. 4. Experience using computing clusters (batch processing), cloud computing services, and
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in writing grant proposals, designing, and implementing research protocols and surveys, developing data collection methods and databases, performing data analysis, performing neuroimaging processing
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modulation of movement, and reward signaling and its alteration in neuropsychiatric disorders. Responsibilities will include processing and analysis of neurophysiology data, developing stimulation
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the design and development of novel and innovative laboratory clinical tests in solid organ transplant and related fields. Develop protocols for specimen processing and analysis and organize
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, including sample collection, processing, storage, and distribution Develop and periodically revise a Manual of Operations (MOO) and MTAs (draft in progress) Develop and implement standard operating
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bioinformatics, genomics, and statistical genetics. Develop and maintain pipelines for processing and analyzing large-scale genomic data sets. Collaborate with other bioinformatics and laboratory personnel to