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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Perform integrative analysis of multiple biomarker assessments including gene expression, IHC/Multiplex IF data, safety biomarker, and drug response data for baseline and post-dose biomarker discovery for clinical programs.
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Building this data management system will require incorporating and advancing best practices across statistical analysis, cloud computing, system networking, API generation, ontology management, database schema, query optimization, knowledge graphs, and security protocols.
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Lead and contribute to the design and execution of bioinformatics pipelines for the analysis of NGS data, with a specific emphasis on RNseq datasets. Provide insights into potential therapeutic targets based on genomics and transcriptomics data, contributing to the overall drug development strategy.
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Senior Scientist Analytical Chemist. Provide analytical data to support drug substance and drug product development, including purity analysis, chiral purity and structure elucidation using mass spectrometry.
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We are recruiting a Scientist II/Sr. Scientist I with experience in phase-appropriate analytical method development, optimization, and qualification of physicochemical assays for lot release, stability, and characterization of cell and gene therapy products to support Beam's in vivo programs using lipid nanoparticle (LNP) delivery.
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Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Knowledge of best practices in software engineering for reproducibility and data management skillsAbility to work in and adapt to a fast-paced environment Preferred Qualifications: Experience with protein co-evolution analysisExperience with NGS and bioinformatics toolsExperience with agile methodologies.
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Job Overview: Seeking a Clinical Research Scientist with strong expertise in Oncology, Immunology, or Immuno-oncology to lead the implementation, planning, and execution of clinical trial activities, collaborating with various stakeholders and driving Clinical Development strategy in a fast-paced, collaborative environment.
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We are seeking a Senior Polymer Scientist to develop photocurable materials for next-generation 3D printers in a fast-paced multidisciplinary environment. Computer skills: CAD, scripting e.g., Python, data visualization e.g. tableau.
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We are seeking a highly motivated and capable Data Scientist with extensive experience and interest in design and analysis of pharmacoepidemiological studies to join our team. Advanced degree (Masters with 4+ years of experience or PhD) or Bachelor's degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
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This role is for a Senior Data Scientist on L.E.K.'s rapidly growing Data & Analytics team. Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Who You Are: You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.
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Prepare, complete, and/or review environmental survey reports, data entry, impact assessment, and permitting activities for assigned projects (e.g. Endangered Species Act, Clean Water Act permitting, CEQA, NEPA, etc.
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As a Senior Health Information Scientist at Ontada, you will design information systems that power analytics and data science, guiding the delivery of precise cancer care. Design and implementing data ingestion pipelines from multiple sources using Azure Databricks.
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As a Data Scientist, you will be working with the largest repository of corporate, board-level business information in the world. Collaborative Problem Solving : Collaborate with cross-functional teams including data scientists, machine learning engineers, and domain experts to identify business challenges and propose NLP-based solutions that have a tangible impact.
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data scientist jobs in Boston, MA
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