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Polaris Data Labs

Polaris Data Labs is listed as a small consultant research supplier in the Scientist.com network, with 1 site in 1 country.

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Search companies, drugs, suppliers and investigators, and follow each one to the others. Individual plan, $249/seat/mo. Card required.

Sites 1

Countries 1

Type of company: Small consultant

Clinical Consulting

Biometrics Consulting Apply statistics and mathematics to drug discovery, clinical trials, and data analysis.
Biostatistics Consulting Apply statistical theory and mathematical principals to research

Clinical Trials

Protocol Optimization via AI/ML Using of artificial intelligence and machine learning techniques to enhance and streamline experimental protocols or operational procedures for improved efficiency, accuracy, and outcomes.
Statistical Analysis Planning Technical and detailed elaboration of the principal features of the analysis described in the protocol, and includes detailed procedures for executing the statistical analysis of the primary and secondary variables...

Creative

Infographic Create a quick visual representation of information, data or knowledge.

Data Science/Bioinformatics

Biostatistical Design Use statistics to ensure appropriate pre-clinical and clinical study design.
Clinical Biomarker Analysis An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
Clinical Data Analysis Analysis that helps you make sense of your clinical data
Clinical Data Science and Modeling A process that helps make sense of your clinical data
Clinical Imaging Diagnostic Analysis An analytical approach to analyzing biological images for diagnostic purposes.
Clinical Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects

Show all 32 in Data Science/Bioinformatics 26 more

Clinical Responder Analysis, Patient Stratification The process of identifying patients that are more likely to respond positively to a drug.
Clinical Trial Integration Analysis The process of combining data from multiple clinical trials to understand categories of drugs and drug behavior in a more global way.
Discovery Bioinformatics Different analytical approaches that make, store, and analyze complex biological data.
Discovery Biomarker Analytics An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
Discovery Data Analysis Analysis that helps you make sense of your discovery data
Discovery Data Integration The process of combining different complex data types together to make it easier to understand or analyze.
Discovery Data Science and Modeling A process that helps make sense of your discovery data
Discovery Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
Discovery Predictive Analytics Analytical approaches to predict how a drug target behaves in a given environment.
Discovery Software Tools Software designed to serve the needs of discovery research groups.
Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.
Microarray Data Analysis Visualize and analyze microarray data and facilitate data analysis for large experiments.
RWE/HEOR Data Science and Modeling A process that helps make sense of your clinical data
RWE/HEOR Drug Response Analysis A process to understand how a population is responding to a drug, specifically if there are any adverse events.
RWE/HEOR Machine Learning/AI Complex analytical approaches to find patterns and make predictions in RWE/HEOR projects
RWE/HEOR Software Tools Software designed to serve the needs of RWE/HEOR research groups.
Translational Bioinformatics Different analytical approaches that make, store, and analyze complex biological data.
Translational Biomarker Discovery An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
Translational Data Analysis Analysis that helps you make sense of your translational data
Translational Data Curation Generally, human curation of acquired data to assess the quality and reliability of different data.
Translational Data Harmonization and Integration Process to combine different data together for better understanding and analysis of the integrated data.
Translational Data Knowledge Extraction Analytical approaches to extract data from different sources like publications, databases, etc. 
Translational Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
Translational Data Science and Modeling A process that helps make sense of your translational data
Translational Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
Translational Software tools Software designed to serve the needs of translational research groups.

General Marketing

Database Management Software Facilitate the collection, tracking and processing of biological facts, statistics and observations.

Show all 63 services 51 more

Management Optimization & Development Strategies

Big Data Computational assistance with analysis of large data sets to reveal patterns, trends and associations

Medical Communications

Data Monitoring Committee (DMC) / Statistical Analysis Center (SAC) Find organizations in order to ensure patient safety and scientific integrity

Old Category HEOR, RWE, Market Access

Data - Other Extract insights and patterns from large and complex datasets.

Primary Market Research

Advanced Analytics (Regression, Clustering, Factor Analysis) Applies complex statistical techniques to uncover hidden relationships and drivers. Generates predictive insights to inform decision-making and optimization.
Data Cleaning and Statistical Modeling Prepares raw datasets for analysis through validation, normalization, and advanced modeling. Ensures accuracy and enables robust, reproducible insight generation.

Real World Evidence & Data

Quantitative or Qualitative Research Either to understand concepts, thoughts, or experiences with qualitative research or to quantify the problem by generating numerical data or data that can be transformed into usable statistics with quantitative research.
RWE/HEOR Data Analysis Analysis that helps you make sense of your RWE/HEOR data

Scientific Data Services

Automated Image Analysis Automated Image Analysis
Bayesian Statistics Extract information from data sets that are subject to error or noise to see unobserved possibilities.
Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
Cloud Computing Request on-demand computer resources specifically relating to large data storage and computing power.
Data and Text Mining Derive structured data from free text in order to become accessible for data-mining algorithms.
Data Curation Organize and integrate data collected from various sources to ease data discovery and retrieval.

Show all 18 in Scientific Data Services 12 more

Data Infrastructure Design and deploy an information management solution suited to users' specific needs.
Data Lineage & Quality Track the various processes through which data has been created, edited or exchanged.
Database Integration Convert bioinformatics results from multiple data sources (DSs) into a single operational format.
Genome Data Analysis Analyze genomic DNA, RNA and protein sequence data.
Large Language Models Use of Large Language models in target discovery, clinical trial design and development, analysis of clinical trial data and regulatory submissions. Services are tailored to the problem, specific context of biopharma.
Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
Marker Analyses Identify associations between genetic markers and traits of interest to determine markers responsible for human diseases.
Microbiome Data Analysis Determine the population composition of a microbial community and analyze its contribution to human or animal health.
Multivariate Analysis (MVA) Analyze datasets with three or more variables simultaneously to discover hidden patterns, correlations, and underlying structure
Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
Scientific Pipeline Implementation Design, develop and deploy data analyses workflows.
Software Tools Software tool for statistical analysis, data mining, genome annotation or NGS data analysis.

Website: polarisdatalabs.com

United States Raleigh 1 site

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