Join the CancerScan team — advancing tumour digital twins through research, data science, and systems biology.
Open positions
Data Scientist / ML Engineer
Learn the “Grammar” of Cancer Communication Networks
Location: Novi Sad, Serbia (Hybrid) or Remote
Type: Fixed term, 1 year contract with potential for extension up to 30 months
Start: After selection process, April-May 2026
Organization: NEOVIVUM TECHNOLOGIES (NEO)
Your Role
You’ll develop the machine learning pipeline that learns transformation rules governing tumor communication networks under treatment. This involves combining statistical pattern analysis, deep learning, and hybrid approaches to discover how cellular interactions evolve when drugs are applied. You’ll also build the critical integration layer connecting 4 partner institutions’ outputs (image analysis, network reconstruction, knowledge graphs) into NEO’s digital twin platform.
You’ll work in a multidisciplinary environment where biological constraints shape model architectures, computational costs influence experimental design, and clinical needs drive validation metrics. Your algorithms must remain interpretable enough to inform cancer biology research.
What You’ll Build
- Cell-cell communication network learning algorithms using statistical pattern analysis, deep learning (graph neural networks, transformers), and hybrid approaches
- ML pipelines consuming and processing partner outputs (image segmentation, network reconstruction, knowledge graphs) for proto-grammar learning algorithms.
- Scientific validation of ML predictions against experimental ground truth data to ensure ≥95% prediction accuracy
- Pipeline to consume and process network reconstruction outputs (from scRNA-seq and spatial transcriptomics)
- Ensemble modeling implementation with uncertainty quantification to provide confidence intervals on predictions
What We’re Looking For
Required:
- MSc or PhD in Computer Science, Data Science, Bioinformatics, Statistics, or related field
- Strong machine learning foundation (supervised, unsupervised, deep learning)
- Python expertise (NumPy, SciPy, pandas, scikit-learn, PyTorch or TensorFlow)
- Experience with network analysis or graph-based machine learning
- Data pipeline development skills (ETL, Luigi/Airflow, or similar orchestration)
- Scientific computing and statistical validation expertise
- Ability to work with multi-modal biological data (genomics, imaging, clinical)
- Strong collaboration and communication skills for multidisciplinary team
- Excitement about translating biological phenomena into computational models
Nice to Have:
- Experience with single-cell RNA-seq or spatial transcriptomics analysis
- Knowledge of biological networks (protein-protein interaction, cell-cell communication)
- Familiarity with knowledge graphs and semantic technologies (RDF, OWL)
- Graph neural networks or geometric deep learning experience
- Background in systems biology or computational oncology
- Test-driven development and CI/CD practices
- Previous work on EU or international research consortia
What We Offer
- Competitive compensation commensurate with experience
- Hybrid or remote work (Novi Sad (Serbia)-based hybrid preferred, full remote possible for exceptional candidates)
- Technical autonomy to design novel ML architectures for unprecedented biological problems
- International collaboration with 7 leading European research institutions (VHIR Barcelona, Politecnico di Milano, University of Bielefeld, FC.ID Lisbon, CSIC Barcelona, others)
- Multidisciplinary environment where your algorithms directly inform cancer biology discoveries and clinical validation
- Real-world impact on cancer treatment—your models will help predict patient-specific responses
- Professional development through EU research network, top-tier ML/bioinformatics conferences, publications
- Cutting-edge research at intersection of machine learning, network science, and cancer biology
- 30-month project horizon with potential for extension, commercialization, and startup opportunities
- Technical challenges that have never been solved before—genuine innovation, not incremental improvement
About NEO & Our Team
NEOVIVUM TECHNOLOGIES (NEO) is the technical lead and visionary behind CancerScan, leading both tumor modeling & validation and project exploitation. We’re a small, agile team tackling genuinely novel problems at the intersection of AI, biology, and medicine. You’ll collaborate closely with our QSP modeler, bioinformatics specialist, software engineer, and project lead. We value intellectual curiosity, rigorous validation, and iterative problem-solving. Expect to learn biology, teach ML to biologists, and question assumptions constantly.
How to Apply
Send your application to info@neovivum.com with subject line: “Data Scientist Application – [Your Name]”
Include:
- CV highlighting relevant ML/data science experience and publications
- Cover letter (max 1 page) explaining:
- Your experience with biological or network data
- Most interesting ML problem you’ve solved with unconventional data
- Why cancer communication networks intrigue you
- Code sample (GitHub link or attached) demonstrating ML/data pipeline work in Python
Applications reviewed on rolling basis. Position open until filled. Start ASAP.
Questions? Reach out to info@neovivum.com for informal discussion about the role, project, or team.
NEOVIVUM TECHNOLOGIES is committed to diversity and equal opportunity employment. We encourage applications from candidates of all backgrounds.
Bioinformatics Specialist / Systems Biologist
Decode Tumor Communication Networks from Multi-Omics Data
Location: Novi Sad, Serbia (Hybrid) or Remote
Type: Fixed term, 1 year contract with potential for extension up to 30 months
Start: Flexible (~April-June 2026)
Organization: NEOVIVUM TECHNOLOGIES (NEO)
Your Role
As our Bioinformatics Specialist / Systems Biologist, you’ll translate cell-cell communication networks and knowledge graphs into quantitative parameters for digital twin simulations. You will be the critical bridge between partner-generated biological data and NEO’s predictive modeling framework, ensuring our simulations reflect actual tumor biology rather than computational convenience.
You’ll work in a truly multidisciplinary environment: coordinating with UNIBI (Germany) to consume their network reconstruction outputs, with FC.ID (Portugal) to integrate their knowledge graphs, and with VHIR (Spain) to validate parameter sets against experimental data. Biological reality will constrain model architecture; computational costs will reshape experimental design. You’ll navigate these trade-offs daily.
What You’ll Build
- Cell-cell interaction parameter mapping converting trained DNN communication network outputs into quantitative interaction coefficients for digital twin simulations.
- Integration protocols for using knowledge graph outputs to model constraints and biological pathway rules
- Biological validation layer ensuring parameter translations accurately reflect tumor microenvironment mechanisms and cellular dynamics
- Collaboration with digital twin architecture decisions (surrogate DNN, physics-informed DNN, or PKPD+AI hybrid approaches), providing biological constraints and validation
- Statistical validation of parameter sets against experimental organoid and clinical data
- Systems biology interpretation layer translating computational predictions back into testable biological hypotheses
What We’re Looking For
Required:
- MSc or PhD in Bioinformatics, Computational Biology, Systems Biology, or related field
- Strong experience with single-cell RNA-seq analysis (Seurat, Scanpy, or similar)
- Network reconstruction expertise (cell-cell communication, protein-protein interaction, signaling networks)
- Multi-omics data integration skills (genomics, transcriptomics, proteomics)
- Proficiency in R and/or Python for bioinformatics analysis
- Knowledge of biological pathways and tumor microenvironment biology
- Experience with statistical analysis and validation methods
- Ability to communicate biological insights to computational scientists and vice versa
- Excitement about translating biological mechanisms into quantitative models
Nice to Have:
- Experience with spatial transcriptomics or spatial proteomics
- Knowledge graphs and semantic technologies (OWL, RDF, SPARQL)
- Familiarity with tumor immunology or cancer-stroma interactions
- Systems biology modeling experience (parameter estimation, sensitivity analysis)
- Background in extracellular vesicle research or cell signaling
- Previous work on pancreatic cancer or gastrointestinal cancers
- Experience with EU or international research consortia
- Publications in bioinformatics or cancer biology journals
What We Offer
- Competitive compensation commensurate with experience
- Hybrid or remote work (Novi Sad (Serbia)-based hybrid preferred, full remote possible for exceptional candidates)
- Bridge role connecting experimental biology, network science, and predictive modeling
- International collaboration with 7 leading European research institutions (VHIR Barcelona, University of Bielefeld, FC.ID Lisbon, Politecnico di Milano, CSIC Barcelona, others)
- Multidisciplinary environment where you’ll work daily with biologists, data scientists, clinicians, and engineers
- Real-world impact on cancer treatment—your parameter translations will directly inform patient-specific predictions
- Professional development through EU research network, conferences (ISMB, RECOMB, AACR), publications in top-tier journals
- Intellectual challenges at the frontier of systems biology and personalized medicine
- 30-month project horizon with potential for extension, commercialization, and future ventures
- Autonomy and creativity to develop novel integration methods for unprecedented biological questions
About NEO & Our Team
NEOVIVUM TECHNOLOGIES (NEO) is the technical lead and visionary behind CancerScan, leading both tumor modeling & validation and project exploitation. We’re a small, dynamic team where biological insight directly shapes computational architecture. You’ll work closely with our QSP modeler, data scientist/ML engineer, software engineer, and project lead. We value intellectual honesty, cross-disciplinary communication, and evidence-based decision-making. You’ll teach biology to computer scientists and learn simulation from modelers, constant knowledge exchange is our mode of operation.
How to Apply
Send your application to info@neovivum.com with subject line: “Bioinformatics Specialist Application – [Your Name]”
Include:
- CV highlighting relevant bioinformatics experience and publications
- Cover letter (max 1 page) explaining:
- Your experience integrating multi-omics data for biological insight
- How you approach translating biological networks into quantitative parameters
- Why tumor microenvironment communication excites you
- Analysis example (GitHub link or attached) demonstrating network reconstruction or multi-omics integration
Applications reviewed on rolling basis. Position open until filled. Start ASAP.
Questions? Reach out to info@neovivum.com for informal discussion about the role, project, or team.
NEOVIVUM TECHNOLOGIES is committed to diversity and equal opportunity employment. We encourage applications from candidates of all backgrounds.
Research Development & Communications Coordinator
Location: Novi Sad, Serbia (Hybrid) or Remote
Type: Fixed term, 1 year contract with potential for extension up to 30 months
Start: After selection process, April-May 2026
Organization: NEOVIVUM TECHNOLOGIES (NEO)
Your Role
You’ll manage operational support that keeps CancerScan multi-track project on schedule and organize NEO’s funding pipeline and external visibility. You’ll research funding opportunities that shape our 5-year roadmap, coordinate dissemination that builds our reputation with academic and industry stakeholders, and provide the progress intelligence that enables proactive decision-making. You’ll work autonomously with weekly check-ins, owning your domains with clear deliverables and impact metrics.
What You’ll Do
NEO Dissemination & Impact:
- Publication coordination: Track publication milestones from project deliverables, coordinate with co-authors across consortium, manage submission and revision logistics
- Conference presence: Identify relevant conferences (ISMB, AACR, digital health, oncology), coordinate abstract submissions and poster preparation, manage registrations
- Digital presence: Update neovivum.com with CancerScan progress, manage LinkedIn company page, draft project announcements and milestone updates
- Press & outreach: Draft press releases for major milestones (M12 workshop, M30 validation results), coordinate with consortium communications partner (M&S)
- Impact tracking: Monitor citations, media mentions, stakeholder engagement for EIC reporting and exploitation strategy
Progress Tracking & Reporting:
- Monthly progress summaries: Brief dashboard (1-2 pages) showing milestone status across 12 parallel tracks, upcoming deadlines, partner deliverable status, budget burn rate
- Risk flagging: Early warning system for slipping timelines, partner delays, resource bottlenecks requiring Igor’s attention
- Milestone monitoring: Track progress against M12/M15/M30/M36 targets, coordinate with technical team leads on status updates
Funding Pipeline Management:
- Opportunity scanning: Monitor EIC programs (Transition, Accelerator), Horizon Europe calls, Serbian Innovation Fund, national funding programs, and industry partnership opportunities
- Pre-qualification analysis: Assess eligibility, strategic fit with NEO’s EIC pathway, effort vs. reward, and deadline tracking
- Application logistics support: Prepare budget templates, coordinate partner inputs for multi-party proposals, ensure formatting compliance
- Weekly digest to CEO: Curated opportunities with recommendations (pursue/pass), effort estimates, strategic alignment analysis
What We’re Looking For
Required:
- Experience in research administration or science communication (academic, industry, or research funding organization)
- Familiarity with EU funding landscape (Horizon Europe, EIC programs, or national research funding)
- Excellent written English for funding research reports and dissemination materials
- Strong organizational skills and ability to track multiple deadlines and priorities independently
- Proactive and self-directed working style—you identify opportunities and flag issues without being prompted
- Comfortable working part-time remotely with periodic check-ins and asynchronous communication
- Interest in supporting cutting-edge research with real-world impact on cancer treatment
Nice to Have:
- Background in life sciences, healthcare, or biotech (helps understand research context)
- Experience with EIC programs (Pathfinder, Transition, Accelerator) or startup/commercialization pathway
- Serbian language for local funding opportunities and networks
- Social media or digital marketing skills for dissemination activities
- Experience with academic publishing (journal submission processes, open access requirements)
What We Offer
- Competitive compensation commensurate with experience
- Flexible remote work (Novi Sad (Serbia)-based hybrid preferred, full remote possible)
- Strategic impact role directly influencing NEO’s funding runway and market visibility
- Autonomy and ownership of funding pipeline and dissemination strategy—you’re trusted to run these domains
- Direct collaboration with CEO/Project Lead on high-impact activities (EIC pathway, commercialization)
- Exposure to cutting-edge research at intersection of AI, cancer biology, and digital health
- EU research network access through 7-partner consortium and international conferences
- Professional development in research funding, science communication, and startup/spinout ecosystems
- Flexible part-time schedule compatible with other commitments or projects
- 30-month project horizon with potential for extension and spinout company involvement
About NEO & Our Team
NEOVIVUM TECHNOLOGIES (NEO) is a small, agile research and development company leading CancerScan’s technical innovation (WP3) and commercialization strategy (WP5). We’re building a team of 3-4 technical specialists (QSP modeling, data science, bioinformatics) plus strategic support roles like yours. We value intellectual honesty, proactive problem-solving, and clear communication. You’ll work directly with Igor (CEO/Project Lead), coordinate with our outsourced business development and regulatory teams (Kevin, Irena), and interact with consortium partners across Europe. We operate with minimal bureaucracy, high autonomy, and clear accountability for results.
How to Apply
Send your application to info@neovivum.com with subject line: “Research Development Coordinator Application – [Your Name]”
Include:
- CV highlighting relevant research administration, funding, or science communication experience
- Cover letter (max 1 page) explaining:
- Your experience with research funding landscapes or grant administration
- How you approach prioritizing opportunities with limited information
- Why supporting cancer research innovation excites you
- Writing sample (optional but appreciated): Brief funding opportunity summary, conference abstract, or dissemination content you’ve created
Applications reviewed on rolling basis. Position open until filled. Start ASAP.
Questions? Reach out to info@neovivum.com for informal discussion about the role, project, or team.
NEOVIVUM TECHNOLOGIES is committed to diversity and equal opportunity employment. We encourage applications from candidates of all backgrounds.