for the

Workshops, Analytics & Advisory Services

for the

Workshops, Analytics & Advisory Services



R, statistics & decision support

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Data analysis, biostatistics & informatics

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Data science strategy

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"His analysis identified questions and trends we did not notice. His insight allowed us to decide our next steps and efficiently design experiments."

Catherine Pujol-Baxley, VP Research, KnipBio



Empower your life science team with R software and statistical training workshops

We believe that useful training is a balance between high level concepts and pragmatic skills and tools, applied to questions and data in your domain area.

We offer conceptual training in biostatistics, that incorporates hands-on training using R software. We can customize our courses to use your data to address your questions. 

Courses & pricing




You have experimental or observational data, and you want to know what's significant, what's important, and what you can conclude. 

  • Descriptive stats
  • High-throughput screening


You have omics data. (Lots of omics data!) We help you to gain insight into your systems and can analyze:

  • SNP/variant calls
  • RNAseq transcriptomics
  • Metabolomics

Experimental design

You have an idea, and you want to design an experiment to effectively and efficiently test your idea. We help with:

  • Design-of-experiment analysis (DOE) to determine what experimental factors matter most.
  • Power Analysis to determine number of replicates.

Machine learning

You want to best leverage your multivariate data. We offer

  • Regression modeling
  • Predictive modeling
  • Unsupervised learning to uncover patterns in your data

Historical data mining

You have old data and are curious about patterns, trends, and relationships. We delve into the data to provide guidance on future research.

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Advisory Services


Are you getting the most from your data?

Our strategic consulting advisory services are designed to help our clients address this question.  Here, we work with Biotechnology and Life Science Leaders and focus on determining how their data, and data science, can help them achieve their R&D and business goals.


We work with Biotech and Life Science Leaders to assess their data science platform. 

Typically, we structure our engagements as projects. Because each project is unique and customized to the needs of our clients, we price each project individually. 

Previous engagements have involved:

  • An assessment of measurement systems and data quality in Research Operations
  • Developing data analytic workflows in the cloud (AWS)
  • Database design to support data science activities (data capture, storage, analysis and reporting)
  • Automating data science workflows
  • Using data to optimize high-throughput experiments
  • Designing & optimizing "scale-down" assays using predictive modeling

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Data Science Review

 The Data Science Review is a comprehensive diagnostic assessment of your (proposed) data science platform. It is a project that includes:

  • Technology Platform Diagnostic and Review
  • Data Audit
  • Roadmapping

The package is attractive to small and  mid-sized life science companies, or functional groups within large organizations, coming to grips with new data streams & new types of analyses.

Engagements typically run 2-4 weeks and are priced at $18,000.

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