Stoyalex Consulting
Stoyalex Consulting helps biotech and pharma R&D teams, and the technology and service companies serving them, assess scientific evidence, develop useful data products and workflows, and make informed technology and partnership decisions.
The practice connects computational biology and translational-science experience with scientific software, data foundations, product direction, and practical delivery.
Led by Aleksandar Stojmirovic, PhD, with scientific and data-science leadership experience at Johnson & Johnson and earlier computational-biology research at NIH.
Discuss an opportunityYou need scientific-data, computing, or product direction to support R&D. The immediate question may concern a fragmented data workflow, the evidence behind a scientific approach, or the next phase of a product or platform. Stoyalex helps connect that need to the data, technical work, and responsibilities required to move it forward.
You need to understand pharma customers, sharpen an offering, or shape a first engagement. Stoyalex brings firsthand experience of scientific-user needs, provider evaluation, funding decisions, and delivery inside pharma to help define work a customer can understand, sponsor, and use.
Investors and partners can also engage Stoyalex to assess the scientific evidence, data, or technical approach behind an opportunity.
Work is shaped around the scientific or business question, the people who will use the result, and the decisions it needs to support.
Assess whether the data, scientific assumptions, technical approach, and evidence support the intended use. Review data fitness, provenance, reproducibility, evaluation, and validation needs. Compare internal, vendor, or partner approaches and identify what should be tested before further investment. Scientific questions can include target, mechanism, biomarker, and endpoint evidence.
Possible outputs: An assessment, evidence-gap analysis, evaluation criteria, or recommended next investigation to support an R&D, investment, or partnership decision.
Turn fragmented data, recurring analysis problems, or an early prototype into a useful scientific product or workflow. Connect scientific-user needs to data access, harmonization, quality, architecture, ownership, and adoption. Work can include reviewing analyses and code, testing prototypes, and helping scientific and engineering teams make workflow and architecture choices.
Possible outputs: Requirements, architecture recommendations, a prioritized roadmap, or a first-phase scope that helps scientists find and use relevant data.
Help technology and service companies identify meaningful R&D needs and shape offerings around pharma workflows and buying decisions. Connect customer discovery and positioning to the scientific context, a potential sponsor, delivery dependencies, and success measures for an initial engagement.
Possible outputs: An opportunity assessment, positioning brief, discovery guide, or first-engagement scope that a prospective customer can evaluate.
Help scientific and product leaders evaluate vendors, negotiate workable scopes, and assemble and coordinate project teams. Draw on pharma-side experience across product, software-services, and staffing providers to clarify the expertise, responsibilities, and working relationships needed. Stoyalex's role in selection, coordination, and delivery oversight is defined for each engagement.
Possible outputs: A vendor recommendation, negotiation priorities, engagement scope, or delivery-team plan with clear responsibilities.
The following examples come from Aleksandar's work at Johnson & Johnson before founding Stoyalex.
Led strategy, standards, and platform foundations supporting a team's delivery of integrated single-cell atlases. These were used across Immunology, Oncology, and Neuroscience for target characterization, biomarker strategy, and mechanism-of-action assessment.
Co-led, with a clinician partner, a gastroenterology computer-vision strategy spanning digital histopathology and endoscopy. The work included external partnerships, data and labeling standards, evaluation criteria, and technical due diligence.
Partnered with a biologist to develop a mechanistic rationale for an inflammatory bowel disease combination-therapy program later supported in Phase 2a. Also co-led computational target-prioritization work for novel IBD therapeutics.
Work can begin with a focused assessment, a discovery workshop, or a defined advisory phase. The starting point depends on the question, available evidence, and the decision or practical result the client needs.
Continuing scientific and product leadership provides support across agreed priorities, including technical review, vendor coordination, and alignment of scientific and engineering teams. Each engagement establishes intended outputs, responsibilities, capacity, and working cadence.
Aleksandar Stojmirovic, PhD, is the founder and principal consultant of Stoyalex Consulting LLC. His experience includes Director-level scientific and data-science leadership at Johnson & Johnson and earlier computational-biology research at NIH.
His work has progressed from mathematical methods, algorithms, and biological-network software to translational-science partnership, scientific-product leadership, and enterprise R&D data capabilities. That experience informs how he connects scientific questions with technical choices and their practical use in research.
Share the R&D need, workflow challenge, offering, or opportunity you are considering and what you need to decide next. Stoyalex can help identify a useful starting point and an appropriate scope of work.
aleksandar@stoyalexconsulting.com