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964 High House Rd PMB 2002 Cary, NC, 27513 United StatesHands-on data science, statistics, and machine learning for biotech, pharma, and life sciences. We plan the analysis, build the pipeline, write the code, and deliver results - executed by a team of PhD data scientists, statisticians, and lab scientists who understand your scientific context. Our team specializes in assay data analysis, machine learning, statistical consulting, automated data pipelines, and interactive dashboards. If your R&D data isn't working as hard as it should, we can help. Assay & Experimental Data Analysis - Assay data analysis and visualization - Flow cytometry data QC and advanced analysis - Dose-response, IC50, and cell viability analysis - High-throughput screening (HTS) data analysis - Cell proliferation and cytotoxicity assay analysis - Immunoassay data analysis - Experimental data cleanup and statistical review Statistics & Biostatistics - Statistical QC and independent analysis review - Experimental design and power analysis - Mixed effects modeling - Survival analysis - Regression analysis (linear, logistic, Cox) - Hypothesis testing and multiple comparison correction - Bayesian statistical analysis - Non-parametric statistical analysis - Outlier detection and data QC Machine Learning & Predictive Modeling - Machine learning for scientific and biological datasets - Predictive modeling for R&D data - Biomarker discovery using machine learning - Anomaly detection in assay and process data - Clustering and dimensionality reduction (PCA, UMAP, t-SNE) - ML model validation and performance evaluation Dashboards & Visualization - R&D and biomarker data dashboards for biotech teams - Interactive data visualization Data Pipelines & Automation - Data pipeline development and optimization - Laboratory data workflow automation - Automated QC workflows - Excel and spreadsheet migration to automated pipelines - Automated report generation Specialist Areas - Sensor, IoT, and wearable device data analysis - Batch record analysis and manufacturing process analytics
4030 Wake Forest Rd Ste 349 Raleigh, NC, 27609 0010 United StatesHands-on data science, statistics, and machine learning for biotech, pharma, and life sciences. We plan the analysis, build the pipeline, write the code, and deliver results - executed by a team of PhD data scientists, statisticians, and lab scientists who understand your scientific context. Our team specializes in assay data analysis, machine learning, statistical consulting, automated data pipelines, and interactive dashboards. If your R&D data isn't working as hard as it should, we can help. Assay & Experimental Data Analysis - Assay data analysis and visualization - Flow cytometry data QC and advanced analysis - Dose-response, IC50, and cell viability analysis - High-throughput screening (HTS) data analysis - Cell proliferation and cytotoxicity assay analysis - Immunoassay data analysis - Experimental data cleanup and statistical review Statistics & Biostatistics - Statistical QC and independent analysis review - Experimental design and power analysis - Mixed effects modeling - Survival analysis - Regression analysis (linear, logistic, Cox) - Hypothesis testing and multiple comparison correction - Bayesian statistical analysis - Non-parametric statistical analysis - Outlier detection and data QC Machine Learning & Predictive Modeling - Machine learning for scientific and biological datasets - Predictive modeling for R&D data - Biomarker discovery using machine learning - Anomaly detection in assay and process data - Clustering and dimensionality reduction (PCA, UMAP, t-SNE) - ML model validation and performance evaluation Dashboards & Visualization - R&D and biomarker data dashboards for biotech teams - Interactive data visualization Data Pipelines & Automation - Data pipeline development and optimization - Laboratory data workflow automation - Automated QC workflows - Excel and spreadsheet migration to automated pipelines - Automated report generation Specialist Areas - Sensor, IoT, and wearable device data analysis - Batch record analysis and manufacturing process analytics
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The Contract Research Map is owned and maintained by Scientist.com. It was created to help researchers in the life sciences identify and connect with contract research organizations (CROs) based on geography. Updated nightly, this map features all of the available CROs within our network, so you can order services with a few clicks. Click on a specific country, scroll on the map itself or type into the search bar at the top—there are many ways to find the location and suppliers that you’re looking for. From Argentina to New Zealand, use this map to connect with a CRO near you.
We believe that every researcher across the world should be able to connect with the thousands of global CROs that exist and have the opportunity to work together. Like many industries,the life science supply chain has been disrupted over the last year. But there are many other circumstances such as international customs regulations or sensitive shipping times that create limitations around which countries are feasible to partner with. Sometimes, finding a CRO based in a country that best suits your research needs is imperative. We hope this contract research map allows you to find the right partner in the right place at the right time.
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