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Under the general supervision of the Data Quality Manager, the Data Entry Specialist reviews case files for integrity and consistency; enters Government Grant related data into the County HMIS/CORE Database and various Samaritan House databases including Salesforce; maintains the physical case files; assists in the evaluation of data quality, conducts data exception analysis and makes the appropriate data corrections.
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Experience in implementing and working with SAP QM, PP, eWM, MM, SCM, Data Governance and Master Data Management MDM. SAP Master Data Business Analyst's primarily responsible for implementing and managing relevant Master Data of SAP S/4HANA covering the Make, Quality, and Warehouse Management areas.
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Work closely and collaboratively with the Clinical Operations team to ensure successful application of biomarker/pharmacodynamic assays in clinical trials (e.g. provide assistance with clinical document writing/review, sample logistics, data transfers, data interpretation, etc.
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We are looking for our first Data Scientist to join our Product team to establish a data-driven product development culture, define core metrics across our drug discovery software platform and drug program progress and efficiency, build our technical foundation for data tracking and analysis, and establish dashboards and analysis for leadership and program teams.
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Design and implement Data Migration and Data Integration across cloud and hybrid environments. Experienced in Data Migration and Data Integration. Mastery and hands-on experience with Data Engineering technologies and scripting languages.
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Familiarity with data processing and visualization tools for data analysis (e.g., GraphPad Prism, Genedata Screener, R, etc. Analyze, interpret, and present experimental data in team meetings.
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Experience with data from phage or yeast display or NGS generally. Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
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Conduct In-Vivo Pharmacokinetic, Pharmacodynamic and Toxicology study design and data review, serving as the main point of contact for receiving, reviewing, and interpreting study data. Experience with In-Vivo Pharmacokinetic, Pharmacodynamic and Toxicology study design and data review.
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Proficiency with SolidWorks or similar CAD software, including PDM/PLM and data release processes. Understands the intricacies of production processes including but not limited to sheet metal, composites, 3D printing, machining, waterjet and laser cutting, welding, bonding, etc.
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Strong understanding of science and drug development, with specific expertise in nonclinical study design, preclinical CROs, data management systems, nonclinical study procedures, and statistical analysis methods.
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4+ years experience in role/s operationalizing data policies - e.g. data privacy operations, privacy regulatory compliance, security GRC, Trust & Safety function - executing cross-functional organizational processes in data governance/ digital transformation.
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Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Job DescriptionSr Research Scientist I – Oncology Bioinformatics, Research Data ScienceWe are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology.
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Comfortable with the big data ecosystem and Apache Spark. Familiarity with big data processing and cloud computing will be critical to succeed in this environment. In addition to possessing a mathematical aptitude, they need to be competent with data science languages and tools, such as Python or Apache Spark which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online.
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Proficient in Microsoft Office and other Microsoft products, electronic health record, data analysis and data visualization tools, California Immunization Registry (CAIR). Compile, analyze and interpret data using research techniques; draw sound conclusions and prepare and present effective reports regarding findings and recommendations.
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