A biology-first approach to bioinformatics
Founded in Q3 2025, our first year as an independent practice has confirmed what we found in our own experience as hiring managers and leaders in Data Science: It's hard to find the right talent who can bridge the gap between biology and computational methods, and quickly.
With successful engagements with 10+ clients across projects spanning oncology, autoimmune disease, microbiome therapeutics, and infrastructure development, we have stepped in to fill that need for our clients.
Some of the ways in which we have partnered with our clients
- Embedding within larger Data Science teams to focus on high-priority exploratory analyses and building novel analytical pipelines that lack resourcing internally
- Building out computational infrastructure from scratch to support scaling of internal data generation, while providing analysis and guidance on assay readouts
- Partnering on developing compelling case studies for internal data, focusing on driving value proposition of novel data modalities
- Advising on, developing, and implementing data architecture plans to support scaling up ad-hoc pipelines