Data infrastructure isn't keeping up
What was a reasonable setup earlier, doesn't meet your R&D demands anymore. I'll find optimal ways to fix it. For your current and planned projects.
I'm Oleksandr Petrenko, physician-scientist and computational biologist.
I help biotech, pharma, and academic teams empower their R&D decisions by:
What was a reasonable setup earlier, doesn't meet your R&D demands anymore. I'll find optimal ways to fix it. For your current and planned projects.
Perhaps it is due to unforeseen scientist availability shifts. Sometimes it is due to advanced input of a computational biologist needed to start the study. Or to rescue it. This is when I can support your team.
It can be a specialized AI agent (or their orchestrated framework) to support your operations, or building an advanced database, analysis tool - I am eager to develop an efficient solution
For example:
For example:
I was trained as a medical doctor and then established myself as a computational systems biologist via research. Such dual background will benefit your scientific teams, as I can accurately read the underlying biology and pathology, help frame the right question - and then engineer the system (or do the analysis) that answers it.
I work directly with clients - flexible, open for urgent requests.
Based in Vienna. Working hybrid across the EU, open for consideration elsewhere.
I provide accurate conclusions from your project's specific biological and pathological readouts.
I know that there are records that must never leave protected infrastructure, and I understand exactly why.
I strongly adhere to good practices in computational and software development work. All workflows and systems are designed for reliability and ease of maintaining.
No intermediaries, flexible for your urgent needs. When desired, I can assemble and lead a computational team from my professional network.
I'm here to hear about your challenges, and whatever is in your mind. After, you'll get a transparent feedback whether I can help, and what the optimal next step is.
A short results-oriented dive. For example: stakeholder interviews, data audit, written technical specification. For R&D work: question framing, study design, analysis plan, named deliverables.
Phased delivery as agreed together, weekly check-ins, specific deliverables at each milestone. At the end: a working system your team runs, or a completed study with figures, code, and a decision memo.
Designed and implemented the architecture of IT system to support ongoing scientific and operational activities and developed custom solutions integrated into the client's infrastructure. The latter includes, for example, an internal informing service, AI agents application (ongoing).
Supporting R&D activities by working on a request of a custom genomics toolkit related to target discovery.
As a part of one of the Europe's leading research laboratories on portal hypertension and fibrosis, I worked together with a network of talented scientists to provide insights into the research question at the center of the cooperation, and developed a number of academic publications in the field's top-tier journals.
Not an "here are results, interpret it yourself" approach. I work not only from the love before computational biology, but also to use whatever is the most helpful for your aims. I closely cooperate with your scientific team to provide pathology- and biology-relevant conclusions from the results I deliver.
On-premises or inside your VPC, always. No shadow copies, no training corpora leaving the network, no “just this once” exceptions. If a vendor requires it, we pick a different vendor.
Specs, analysis plans, and decision memos are written as the work develops, not retrofitted at the end. Regardless of the engagement volume or duration, this is always included.
Every engagement ends with someone on your team able to run the system, continue the analysis, or explain the decisions. If I become a single point of failure, I've done the job wrong.
Discovery is a fixed fee, and you can expect its costs within one or two weeks of an implementation specialist at average EU rates. Full engagements are priced depending on the complexity, time constrains, and the duration of cooperation. We set this together after the discovery phase.
If I don't have current major involvements, then expect start within a week or a few from the first call and CDA signing. Currently booking Q2–Q3 2026.
Scientific contracts and discovery are just me. For implementation, when required by ongoing cooperation, I provide an offer of building and leader a computational research team from my network of the field's recognised experts.
Not if the data privacy requirements are involved. I design and develop all non-sensitive workflows and solutions on an EU-hosted encrypted environment, or directly inside your VPC / VPS.
When designing from scratch, I am employing NextFlow data analysis pipelines within conteinerized environments, and/or versioned repositories of the developed toolkit. Well-documented in both cases. Within these solutions, I am routinely use the domain's leading solutions from Python, Julia, and R frameworks - whatever is the most useful for the client's challenge.
Encouraged. Let's meet each other and discuss your challenge.
We can briefly talk on a go, or you can show me a non-confidential example (non-polished version) of what's you are working on - as desired.
Together, we'll figure out if I can help you, in which services pathway, and the best possible estimate on the engagement duration and costs.