Good Data Systems
Accelerate Biotech Research
We're your engineering partner for the data platforms, pipelines, and tools that
let your scientists focus on science, not wrestling with technology.
Tech-Enabled Research
Turn Data Into Discovery Velocity
The most valuable insights emerge when computational predictions connect to experimental results and downstream outcomes. Patterns between early-stage models and assay performance. Correlations linking screening data to toxicology results. Intelligence that only becomes visible when data flows across your research pipeline.
We build infrastructure and warehousing strategies that enable cross-functional analysis across computational and wet lab teams. Your scientists discover correlations earlier, refine predictions with real-world results, and make faster decisions, while maintaining appropriate access controls.
Eliminate the Latency of Learning
We've seen brilliant computational scientists sidelined for days by computational bottlenecks. Sequential processing delays discovery. Researchers wait for results instead of learning and iterating. Multi-day computational failures waste time and resources.
We build cloud infrastructure that enables parallel processing at scale. Your team gets answers fast, intelligently leveraging CPUs or GPUs to run workloads efficiently and cost-effectively.
Workflows Defined by Science, Not Software
Off-the-shelf bioinformatics platforms fit nobody perfectly. You pay for unused features, navigate workflows that don't match your science, and lock into expensive licensing.
We build custom tools designed alongside your team: internal applications and interactive dashboards that replace bloated SaaS products. You own the code, control the features, and set the direction.
Research Freedom, Production Discipline
Biotech research demands both speed and rigor. Data scientists need freedom to explore, but ad-hoc VM setups create black boxes: results can't be reproduced, audit trails don't exist, and workflows remain undocumented.
We build infrastructure that bridges exploration and production. Infrastructure-as-code gives your team self-service environments that are documented, version-controlled, and auditable. Scientists iterate in sandbox environments, then transition proven workflows to production with full traceability.
Engagement Flow
Discovery Conversation
We meet with your scientists and leadership to understand what winning looks like: where you are, where you're headed, and what constraints shape your path. We explore fit and outline a roadmap to close that gap.
Foundational Partnership (3-6 months)
We embed with your team, learn how you work, and ship incremental wins early and often using a milestone-based approach. This low-risk engagement establishes our working relationship and sets the foundation for larger strategic builds.
Strategic Build (6-12+ months)
We design and deliver core capabilities of your data platform, informed by our deep understanding of your business priorities. Your scientists focus on research while we handle the complex systems that accelerate it.
Milestone Reviews (Every 4-8 weeks)
Regular milestone reviews keep us aligned as business needs evolve. We check our assumptions periodically to ensure we're always focused on the highest-impact work.
Together We'll Go Far…
“I've benefitted firsthand from his robust data platform construction. As a data scientist, he made my life easier every day. The data platform was designed to be easy to use, long-lasting, and used across multiple teams.”
— Sara Kohnke, PhD // Senior Data Scientist
“We were able to go from initial product idea to a demo with stakeholders in just a couple of weeks. This enabled rapid iteration, and minimized the chances of building something that nobody would want.”
— Alex Greenfield // Chief Scientist & Founder
Why Biotechs Choose BitHippie
We understand that biotech data infrastructure has unique demands: complex experimental workflows, cross-functional collaboration between wet lab and computational teams, and systems that must evolve as our understanding evolves.
We've built data infrastructure for companies across the biotech ecosystem, from AI-driven drug discovery platforms and clinical trial optimization companies to global pharmaceutical research organizations and life sciences venture capital firms.
Good data systems accelerate research. When scientists can access complete experimental records, run analyses in parallel, and iterate without infrastructure friction; discovery moves faster.
Great engineering partnerships require more than technical skills; they demand deep understanding of your research operations, adaptability as priorities shift, and genuine investment in your success.
We become an extension of your team. We communicate regularly, own execution, and deliver production-ready solutions. Access multi-disciplinary engineering expertise without the overhead of full-time hires.
“I do believe in the ultimate mission of patient compensation and your team has advanced that mission tenfold.”
— Emily Engel // Senior Manager, Patient Engagement Operations
Schedule a Discovery Call
We partner with biotech companies across the spectrum, from venture-backed startups and computational biology companies to AI-driven drug discovery platforms and global pharmaceutical research organizations, building the data infrastructure that accelerates discovery.
“BitHippie has innovated practical and effective solutions in diverse fields from computational biology and bioinformatics, to laboratory + scientific systems, to classic business + financial systems, to health care over this time.”
— Jacob Oppenheim // Venture Partner
