CONSULTING & IMPLEMENTATION  ·  V I E N N A
Biological systems
& data infrastructure

I'm Oleksandr Petrenko, physician-scientist and computational biologist.

I help biotech, pharma, and academic teams empower their R&D decisions by:

  • 0 1Adding computational systems biology expertise.
    Designing translational, biomarker, and target discovery studies, analysing data, and delivering decision-ready outputs.
  • 0 2Building data & AI architecture your team needs.
    Designing secure research infrastructure and deploying biomedical AI workflows for sensitive data.
Portrait of Oleksandr Petrenko
Oleksandr Petrenko
Computational systems biologist Scientist with MD background
AVAILABILITY: ACCEPTING PROJECTS
Hybrid mode: supporting your projects remotely, on-site if your sensitive data requires so, or when your team needs it.
YOU HAVE BOTTLENECKS - I MIGHT HAVE A SOLUTION

Common problems I solve.

Most of the teams I end up working with are facing these general problems:

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.

Studies got stuck, no matter which stage

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.

Lack of the desired commercially available tools

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

Usually I work on them via following pathways:

Consulting & implementation of efficient biomedical systems

For example:

  • Architecture for sample, assay, and clinical data systems
  • On-premises AI agents and their orchestration
  • Internal knowledge graph interfaces for researchers
  • Reproducible analysis workflows for studies, developing structured outputs templates

Computational systems biology to empower your team

For example:

  • Study design - cohorts, endpoints, power, analysis plan
  • Multi-modal omics and perturbation analysis end-to-end
  • Mechanistic modelling, target identification, biomarker projects
  • Reports, figures, executive summaries, and accurate biological interpretations
A B O U T  M E

Combined scientific and clinical perspectives

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.

Medical & scientific background

I provide accurate conclusions from your project's specific biological and pathological readouts.

Privacy-first solutions for sensitive data

I know that there are records that must never leave protected infrastructure, and I understand exactly why.

Everything is reproducible by default

I strongly adhere to good practices in computational and software development work. All workflows and systems are designed for reliability and ease of maintaining.

You work with me directly

No intermediaries, flexible for your urgent needs. When desired, I can assemble and lead a computational team from my professional network.

H O W  I  W O R K

What happens after you've reached out

First, I carefully consider the ways to help with your challenge. We build a signed scope together. Then, we make a de-risked phase-by-phase plan with specific deliverables and tailored go/no-go criteria.
S T E P  0 1

We have a brief call

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.

Not billed · no polished request needed
S T E P  0 2

Discovery & scope

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.

Fixed fee · A few weeks
S T E P  0 3

Execute & hand over

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.

Phased · typically weeks to months
S E L E C T E D  E N G A G E M E N T S

Selected outcomes.

Where confidentiality permits, I'm happy to arrange a feedback on the cooperation.
FOCUS: THERAPEUTICS
B I O T E C H  S T A R T U P
2026 · ongoing

On-premises systems for management decisions supporting

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).

Consulting & Implementation
Under NDA obligations
E A R L Y - S T A G E  
B I O T E C H  S T A R T U P
2026 · ongoing

Custom genomics framework for R&D program

Supporting R&D activities by working on a request of a custom genomics toolkit related to target discovery.

R&D empowering
Under NDA obligations
A C A D E M I C  
C O N S O R T I U M
2019 · 2025

Computational work package lead in academia-pharma collaboration

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.

Consulting & Implementation
Under NDA obligations
H O W  I  T H I N K  A B O U T  T H I S

A few things I won't compromise on.

We can always adjust scope of the engagement according to your timeframe and budget. But the delivered quality always stays the same.
0 1

The biology leads, the tooling follows.

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.

0 2

Your data stays in your house.

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.

0 3

Delivered, documented, useful.

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.

0 4

No one-person bottlenecks.

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.

F A Q

Questions I get on the first call.

How much do engagements cost?

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.

How soon can you start?

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.

Do you work solo?

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.

Will my data ever leave my environment?

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.

What do you work with?

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.

Can we start without a polished project deck / document?

Encouraged. Let's meet each other and discuss your challenge.

I'M HERE TO DISCUSS YOUR CHALLENGE

Let's talk. No polished deck or pitch is required.

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.

Book the intro call
CONTACTS
+43 676 420 68 37
opscientific.eu
linkedin.com/in/oleksandr-petrenko
Vienna · CET · replies within 1 business day

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