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Life Sciences and Healthcare
Pharma Data Science
Bolstering Experimental Means with Computational Solutions
We equip our clients with the computational expertise needed to accelerate their drug discovery processes by utilizing state-of-the-art tools for multi-omics data analysis, molecular simulation, and prediction of biological properties. Our experienced team of computational biologists, data scientists, and engineers integrate biological data mining and AI/ML models to support your computational drug discovery efforts from early stage discovery to the clinic and beyond.
Your challenges, our expertise
Genomic Target & Biomarker Discovery
- Next Generation Sequencing (RNA-SEQ, DNA-SEQ, Single-Cell and beyond)
- Proteomics and Metabolomics Data Analysis
- Differential Gene Expression Analysis & Inference of Biological Pathways & Disease Mechanisms
- Mutational Analysis (Variant Classification, Copy Number Variation, Chromosomal Rearrangement)
- Genome-Wide Association Studies (GWAS)
- Splice variant elucidation
- Gene Biomarkers & Signatures to Predict Drug Sensitivity or Disease Phenotypes (Machine Learning-defined etc.)
- Tissue and Cell Line biological variability and target specificity
- Compound MOA prediction
Screening Data Pipelines & Lead Discovery
- Annotated “Tool” compound library selection
- Hit series and scaffold substructure extraction
- QSAR modeling and follow-up library design
- Small Molecule, Peptide, Protein RNAi, CRISPR Screening Data Pipelining & Normalization to Support Target Discovery and Lead Discovery
- Machine Learning of Lead Chemical Substructure and Biological Sequence Features to Predict Screening Assay Phenotype & Generate Focused Screening Libraries
- Machine Learning-Facilitated Image Classification and Screening for Visually-Assessed Phenotypes
Structure-Guided Drug Design & Optimization (ML and physics based)
- Prediction of Macromolecular Structures (Proteins, Multimers, Biochemical Complexes, and beyond)
- All-Atom Simulation & Molecular Dynamics to Refine and Explore Structures
- Global Docking to Discover Drug-Binding Pockets and Paratope/Epitope Interfaces
- Focused Docking of Protein-Protein, Protein-Peptide, Protein-Ligand Interfaces and Candidate Ranking by Predicted Binding Energies for In Silico Screening
- LLM/Generative Models of Small Molecules, Peptides, Proteins to Diversify Screening Libraries
- In Silico Prediction of Drug ADMET Properties & Retro-synthetic Analysis of Drug Leads
Clinical Trial Data Analysis & Biostatistics (R, SAS)
- GxP Standards for Data Management, Analysis, and Reporting
- Patient Genomic Data Analysis & Biomarker Discovery
- Clinical Trial Endpoint Analysis
Post-Market Analysis
- Electronic Medical Record Mining
- Real World Evidence Mining
- Drug Repositioning
Genomic Target & Biomarker Discovery
- Next Generation Sequencing (RNA-SEQ, DNA-SEQ, Single-Cell and beyond)
- Proteomics and Metabolomics Data Analysis
- Differential Gene Expression Analysis & Inference of Biological Pathways & Disease Mechanisms
- Mutational Analysis (Variant Classification, Copy Number Variation, Chromosomal Rearrangement)
- Genome-Wide Association Studies (GWAS)
- Splice variant elucidation
- Gene Biomarkers & Signatures to Predict Drug Sensitivity or Disease Phenotypes (Machine Learning-defined etc.)
- Tissue and Cell Line biological variability and target specificity
- Compound MOA prediction
Screening Data Pipelines & Lead Discovery
- Annotated “Tool” compound library selection
- Hit series and scaffold substructure extraction
- QSAR modeling and follow-up library design
- Small Molecule, Peptide, Protein RNAi, CRISPR Screening Data Pipelining & Normalization to Support Target Discovery and Lead Discovery
- Machine Learning of Lead Chemical Substructure and Biological Sequence Features to Predict Screening Assay Phenotype & Generate Focused Screening Libraries
- Machine Learning-Facilitated Image Classification and Screening for Visually-Assessed Phenotypes
Structure-Guided Drug Design & Optimization (ML and physics based)
- Prediction of Macromolecular Structures (Proteins, Multimers, Biochemical Complexes, and beyond)
- All-Atom Simulation & Molecular Dynamics to Refine and Explore Structures
- Global Docking to Discover Drug-Binding Pockets and Paratope/Epitope Interfaces
- Focused Docking of Protein-Protein, Protein-Peptide, Protein-Ligand Interfaces and Candidate Ranking by Predicted Binding Energies for In Silico Screening
- LLM/Generative Models of Small Molecules, Peptides, Proteins to Diversify Screening Libraries
- In Silico Prediction of Drug ADMET Properties & Retro-synthetic Analysis of Drug Leads
Clinical Trial Data Analysis & Biostatistics (R, SAS)
- GxP Standards for Data Management, Analysis, and Reporting
- Patient Genomic Data Analysis & Biomarker Discovery
- Clinical Trial Endpoint Analysis
Post-Market Analysis
- Electronic Medical Record Mining
- Real World Evidence Mining
- Drug Repositioning
Insights
Our List Of Services
Biopharma Business Services
We empower our clients to make informed decisions, accelerate time-to-market, and drive successful outcomes. By harnessing the power of data, we provide real-time insights that optimize your regulatory efforts, streamline submission processes, and minimize risks. We keep you at the forefront of patient safety, instilling trust in your products and maintaining a strong reputation.
Analytics
Our expert team of data scientists and biostatisticians leverage the power of advanced algorithms and robust statistical methodologies to unlock the complete potential of your data. Whether it’s optimizing clinical trials, streamlining drug discovery, or enhancing post-market surveillance, our comprehensive suite of analytics solutions empowers you to make informed decisions at every stage of the drug development lifecycle.
AI Strategy
At Arrayo, we understand that many organizations struggle to harness the power of machine learning (ML) due to the challenge of identifying viable business cases. Our AI Strategy service offering is designed to solve this by providing a comprehensive solution for businesses seeking to leverage ML for sustainable growth.
Clinical & Regulatory Services
Our services span from validation strategy to validation execution of computer systems while ensuring that process controls and documentation are in place for regulatory compliance. Additionally, we implement clinical, regulatory, medical affairs, and pharmacovigilance digital systems. Our vendor-agnostic experts prepare your GxP digital systems for operational usage and corporate Go-Live, ensuring they are production-ready. Additionally, we provide training and change management services to enable seamless user adoption.
Data Strategy
Our team of experienced data strategists helps you assess your current position in your data journey and plan for the next steps. From developing a strong data governance program to establishing the right data architecture for your company, Arrayo will guide your executive team forward.
Digital Transformation
Our seasoned project managers and business analysts collaborate closely to ensure the successful delivery of your digital systems, overseeing every step of the implementation process. We understand that change is constant in today’s business landscape, which is why our change management experts guide you through organizational transitions, mitigating risks, and maximizing adoption.
Research & Scientific Informatics
We work closely with your scientists and researchers to understand your unique requirements and engineer data-driven solutions tailored to fit your specific research needs. We employ advanced research and informatics solutions that help your team accelerate scientific discovery.
Arrayo
Boston
225 Franklin Street
Floor 26
Boston, MA 02110
225 Franklin Street
Floor 26
Boston, MA 02110
New York City
1411 Broadway
Floor 16
New York, NY 10018
1411 Broadway
Floor 16
New York, NY 10018
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