Biotech and pharma software development teams that build for the lab and the regulator.
Hire dedicated senior engineers from a staffing partner founded by a four-time founder. We place engineers in the Philippines who build LIMS, clinical trial, drug discovery, and bioinformatics software for biotech, pharma, and life sciences companies. Pre-vetted, full-time, and ready in as little as 7 days. This is R&D, lab, and trial software, not provider EHR or telemedicine. For patient-facing clinical systems, see our healthcare software development page.
- Inc. 5000 honoreefive years running
- 350+ senior engineerson staff, across every stack
- 200+ companies servedsince 2018
- 700+ engineer placementsinto US software teams
Not a dev shop building it for you. Your biotech team, building with you.
Most biotech and pharma software development companies quote you a six- or seven-figure fixed-bid project, build it behind a vendor wall, and hand it back. We staff dedicated senior engineers into your team. You own them, manage them, and keep them.
The turnkey vendor model
The big custom-software shops
- Fixed-bid project, scoped up front, priced in the hundreds of thousands
- Engineers walled off behind an account manager
- 30–40% overhead for layers you never meet
- Hand-off at the end, and the validation knowledge walks out the door
The Full Scale staff-augmentation model
Dedicated engineers, embedded in your team
- $35/hr fully loaded, scale up or down as the research roadmap changes
- Engineers in your standups, Slack, repo, and roadmap
- No vendor wall and no PM tax, you manage them directly
- 93%+ retention means the engineers, and the domain knowledge, stay
Co-founded VinSolutions, the #1 CRM in the auto industry ($150M+ exit), and founded Stackify
Built by a founder who has shipped and sold real software
Full Scale was founded by Matt Watson, a four-time founder and CTO with 20+ years in software engineering. He co-founded VinSolutions, the #1 CRM platform in the auto industry, acquired for around $150 million, and founded Stackify, a developer-tools company he later sold. He also wrote Product Driven, the engineering-leadership method every Full Scale engineer is trained on.
Full Scale exists because Matt kept hitting the same wall as an operator: good products stall when you can't hire and keep good engineers. That is the problem we solve, and it is why we vet for the senior, product-minded engineers most staffing shops never find.
Engineers experienced across the life sciences stack
We don't sell you a pre-built product. We staff engineers who have shipped in these domains before and know where the data integrity and validation landmines are.
LIMS & lab information management
Laboratory information management systems, sample and specimen tracking, instrument integrations, and lab workflow software that holds up to an audit.
Clinical trial software
Electronic data capture (EDC), clinical trial management systems (CTMS), eConsent, and patient and site portals built for trial integrity.
Drug discovery & R&D tools
Compound and assay management, electronic lab notebooks (ELN), high-throughput screening data, and research collaboration platforms.
Regulatory & quality (GxP)
Validated systems, electronic records and signatures, quality management, and audit trails engineered to meet 21 CFR Part 11 and GxP from the start.
Bioinformatics pipelines
Genomics and sequencing pipelines, variant analysis, scalable compute workflows, and reproducible data processing for research teams.
Lab data & analytics
Research data warehousing, scientific dashboards, experiment analytics, and machine-learning pipelines on lab and trial data.
Engineers who build for validation and data integrity, not just ship dates
Biotech and pharma software doesn't forgive “we'll validate it later.” Our engineers have worked inside regulated, audited environments and treat data integrity, traceability, and validation as architecture decisions, not a checkbox at the end.
The biotech specialists on our bench
Backend engineers
.NET, Java, Python, Node
Data / pipeline engineers
ETL, genomics, big data
Bioinformatics engineers
Pipelines, sequencing data
Data / ML engineers
Research models, analytics
Frontend engineers
Lab and trial interfaces
DevOps / SRE
Azure, AWS, IaC, uptime
QA / validation
Test coverage for GxP systems
Solutions architects
System & data design
The biotech stack our engineers work in
Backend
Frontend
Data
Scientific
Cloud & DevOps
ML & analytics
Why most offshore biotech teams fail, and how to not be one of them
The mistake isn't going offshore. It's hiring the cheapest developer you can find and hoping data integrity sorts itself out. I call that cheapshoring, and in life sciences software it's how you end up with a failed audit and a system you have to revalidate from scratch.
Lab and trial software is unforgiving. You need engineers who understand that an untraceable record is a finding and a broken audit trail can stall a submission. That's a hiring bar, not a rate, which is the whole reason we accept under 3% of applicants and train every engineer on the Product Driven method.
From call to coding in as little as 7 days
- 1Tell us the biotech roles and stack you need
- 2We match pre-vetted engineers from our bench
- 3You interview and pick your team
- 4They start in your standups, repo, and roadmap
Biotech and Pharma Software Development Services, answered
- Do your engineers understand GxP and 21 CFR Part 11?
- Yes. We staff engineers who have built inside regulated, audited environments and treat validation, data integrity, and audit trails as architecture decisions, not a checkbox.
- How is this different from your healthcare software page?
- Biotech software is drug discovery, labs, clinical trials, and R&D. Provider-side systems like EHR and telemedicine live on our healthcare software development page. The two are siblings, not the same offering.
- Is this a fixed-bid project or a dedicated team?
- A dedicated team. We are a staff augmentation partner, so you get engineers embedded in your team at $35/hr, not a turnkey project quote.
- How fast can a biotech team start?
- As little as seven days from the first call to engineers in your standups, drawing from a pre-vetted bench.
- Who owns the code and the IP?
- You do, from day one. Our engineers work in your repositories under your process.
Staffing engineering teams across every industry
Biotech engineering guides
Healthcare software development
The sibling page for provider-side EHR, telemedicine, and patient software.
EHR and EMR software development
Building and integrating clinical record systems with embedded engineers.
Staff augmentation vs. a dev shop
Why owning the team beats handing off the build.
Cheapshoring: the biotech version
Why the cheapest developer is the most expensive.