Are your data systems failing your biotech startup?
Many biotech data scientists and computational biologists spend 50% or more of their time fighting technical problems caused by systems that don’t fit their needs. Building the right infrastructure can unblock them to focus on the work you hired them to do. But many attempts to build these systems end up failing.
- Projects drag on for months without any sign of progress.
- Many have to be abandoned before you even start using them.
- The few that make it often fail to live up to expectations.
These failures happen when engineers get carried away with unnecessarily sophisticated approaches to technically complex but low-priority problems.
What if you could consistently choose the most pragmatic and cost effective solutions?
You need to build systems that fit your startup’s unique science and culture. But you also need to avoid over-engineering or building unnecessary components.
Imagine if you could be confident that you were building the most efficient yet complete system that would address your team’s highest priority needs.
Get customized guidance from pragmatic experts with a proven approach
The fastest way to decide what to build first and what to leave in the dustbin is an objective perspective from an expert who has seen enough projects succeed and fail to know what works. Build with confidence that you’re investing in projects that will get you the results you’re looking for. Apply for Merelogic’s System Rollout program today. Why?
- Merelogic’s experts have worked with startups at every stage from Seed to Series C.
- Our proprietary Biotech API approach ensures fast and consistent results.
- Our focus is on small, focused and pragmatic changes that address your most important issues.
Within the first 2-6 weeks of the program you’ll have a working, end-to-end prototype system that will stop problems from compounding. In the following 2-4 weeks you’ll have a detailed plan to evolve the prototype into a long-term solution. After that, we offer flexible options for guiding you through the plan, through your next inflection point and beyond.
Here’s how it works
Once the program starts, we’ll begin designing a functioning end-to-end prototype system, built around your team’s existing tools, conventions and preferences, that will unblock your data team and stop problems from compounding. Because we start with processes rather than technical components, you can typically begin using this system within 2-6 weeks of the project starting, depending on the size and complexity of your startup, without adopting any new technical tools.
Over the next 2-4 weeks, we’ll guide you through the prototype system roll-out and use your team’s feedback from the process to create a plan for evolving the prototype into a long-term solution. The evolution is defined by a series of clearly scoped technical projects that update or replace individual components while keeping the overall system running. This iterative approach ensures that you always build the most pragmatic solutions for the highest priority problems.
Once we’ve handed you the evolution plan, we offer three options for how we can continue to support you:
- Design Retainer: In this option, a Merelogic expert meets regularly with members of your team to provide guidance on system operation and evolution. As soon as you’re ready for each next step in the evolution, the expert creates a detailed design for the technical project and updates the long-term plan.
- Project Management: For each technical project, Merelogic can provide a project manager who is familiar with the overall approach. A Merelogic expert also attends the weekly project check-ins to ensure the team stays on track. This is a great option if you have a more junior implementation team.
- Full Implementation: Merelogic can also provide the full implementation team or augment your implementation team, in addition to project management and the overall design.
Ready to get started?
Are you ready to unblock your data team to focus on the work you hired them for? The cost of the initial program depends on the size, stage and complexity of your startup and we’ll give you an exact quote during the initial evaluation. We won’t work with you unless we’re confident you’ll more than recoup the cost in the time you save your data team and the extra progress they’re able to make.
Don’t worry – there’s no risk or obligation and it’s free to apply.
Frequently Asked Questions
What happens after I apply?
After you apply, we’ll reach out to schedule a free one-hour evaluation to make sure we’re a good fit for each other and define the scope of the initial prototype design. If you want to sign an NDA/CDA before this meeting, we’ll arrange that during the scheduling process. Based on the scope we discuss, we’ll give you a quote for the initial program during the evaluation meeting.
How do I know you won’t try to sell me something I don’t need?
Our goal is for every biotech startup to have the right tools, infrastructure and knowledge to change the world. When we don’t have the right expertise, we’re the first to admit it. If we’re not the best option for your needs, we’ll use the evaluation call to help you find someone who is.
Why can’t we just figure this out ourselves?
You probably could. But every week you spend on trial and error will cost you even longer once you eventually figure out how to clean up the mess. Teams that are building the tracks ahead of a speeding train don’t have time to step back and think about how they work. If you learn from our past mistakes instead of your future mistakes, you can keep the train speeding along.
Who you’ll be working with
Hi, my name is Jesse Johnson, Founder and Principal at Merelogic. I’ve helped biotech startups of all sizes get their data under control so they can focus on the science. After learning the ins and outs of data infrastructure/architecture as a software engineer at Google, I’ve adapted this knowledge to biotech through roles at Verily Life Sciences, Sanofi, Cellarity and Dewpoint Therapeutics where I was VP of Data Science and Engineering. As I pushed to make these data teams run smoothly and effectively, I realized that better software wasn’t enough. The real work is defining and adopting conventions and work practices that ensure your team’s work is consistent and reproducible. I’ve written extensively about this in my weekly newsletter, Scaling Biotech, with more than 750 subscribers.
I’ve seen first hand what it looks like when data teams get bogged down in sloppy work practices and the wrong tools and infrastructure. And I’ve seen the difference it can make when you fix the situation. I want every biotech data team to work as efficiently and effectively as possible, including yours.
Don’t wait another minute
To find out if this program is right for you, click below to set up an initial evaluation. Even if we’re not a good fit for each other, we’ll make sure you come away with a better understanding of what you can do to get things on track.
Don’t worry – there’s no risk or obligation and it’s free to apply.
The sooner you get started, the easier it will be.
The longer your team struggles with data infrastructure that isn’t right for your startup, the more the problems will compound and the more expensive it will be to clean it up later. Every week you wait to get started creates hours, if not days, of additional work for your team. Let’s start unblocking your data team today!