SageIQ Bio provides direct, human-driven scientific expertise. You can think of us as an embedded partner of your research team. In an era dominated by automation and AI chatbots and dashboards, we offer a refreshing, traditional approach: experienced scientists who think critically, adapt in real time, and work side-by-side with you to advance your projects. Don't get us wrong, we are avid users of the latest technologies and models, but we believe in the power of human expertise to make these tools shine.

A key product of SageIQ Bio is the design and maintenance of robust, reproducible, state-of-the-art bioinformatic pipelines and statistical workflows that reflect the nuances of your project. From raw data processing to final analyses and visualizations, every step can be guided and managed by experienced scientists, not automated black boxes, ensuring results you can trust and understand. 

From early study design to final publication-ready results, SageIQ Bio provides hands-on guidance every step of the way. We partner with you to plan experiments, obtain and manage data, build needed computational infrastructure, perform analyses, interpret findings, and generate final outputs. We can assist with project inception and be with you all the way through, help with wrapping up a mature project with expertly crafted data visualizations and writing support, or jump in anywhere in the middle to assist you with your research needs. Our main goal is to ensure your project reaches the finish line with the highest scientific rigor and clarity. 

Whether your destination is a peer-reviewed manuscript, a conference presentation, new intellectual property, or a discovery that advances your pipeline, portfolio, and/or patient care, SageIQ Bio partners with you to make it happen. We measure success by your milestones and celebrate each achievement alongside you as a part of your extended research team. 

We provide analytical support for studies involving genomic and transcriptomic data, particularly in oncology. Our experience includes working with next-generation sequencing technologies to uncover clinically relevant biomarkers, characterize tumor profiles, and support precision medicine initiatives. Whether it's identifying oncogenic driver mutations, characterizing the tumor microenvironment, or discovering new clinically relevant biomarkers, we help teams make sense of high-dimensional molecular data in real-world clinical contexts.

Our deep seated background and expertise in statistical genetics enables us to support projects that investigate the genetic architecture of disease or attempt to use large genetic datasets for biomarker or drug target identification. We have worked with large-scale variant datasets to perform genome-wide association studies, genetic interaction analyses, and ancestry inference. By applying rigorous statistical methodologies, we help researchers uncover meaningful genotype-phenotype relationships and interpret complex genetic signals.

We offer comprehensive support for microbiome research, from study design to data analysis. Our experience includes both amplicon and shotgun metagenomic sequencing, with applications in human health, disease mechanisms, and environmental exposures. We help teams explore microbial community structure, function, and host-microbiome interactions, with a particular emphasis on reproducibility and clinical relevance.

We assist in the integration and analysis of clinical, molecular, and observational data to generate real-world evidence. Our work supports outcomes research, biomarker validation, and translational studies by applying robust statistical frameworks to diverse datasets. We understand the challenges of working with electronic medical records, patient-reported outcomes, and heterogeneous data sources, so we can help your team navigate them effectively.

We are constantly building and maintaining scalable, reproducible computational workflows tailored to the needs of biomedical research. Our infrastructure expertise includes high-performance computing, pipeline development, and secure data management. We support teams in deploying tools for NGS processing, variant calling, metagenomic profiling, and more, ensuring that data analysis is both efficient, robust, and reliable.