Nikolai G.-Freelance AI & Data Science Lead | Healthcare, Life Sciences, Finance | Team Leadership, R/Python, LLM Systems
Check rate
Experience
Clinical Data Manager
Dr. Falk Pharma
- Used OpenCode and AI-assisted software engineering to design, implement, refactor, test, and document an end-to-end RAW/SDTM/ADaM pipeline in R for Dr. Falk Pharma (07/2026), including metadata-driven transformations, automated validation rules and QC, traceability, and reproducible clinical outputs.
Clinical Data Manager
Miltenyi Biotec
- Applied OpenCode and AI-assisted development to implement audit trail reports for Miltenyi Biotec (2026), covering report logic, code generation, debugging, documentation, and structured human review of traceability and reproducibility requirements.
Clinical Data Manager
Pharma / Clinical Studies
- Served as clinical data manager responsible for EDC setup, CRF design, validation rules, user roles, data transfer specifications, UAT planning/execution, and coordination with CROs, labs, and study teams.
- Created/reviewed DMP, UAT plans/reports, validation plans, SAE reconciliation plans, and requirements documentation; built R-based validation workflows and Shiny applications.
- Worked in GCP-, GDMP-, and 21 CFR Part 11-relevant environments; GCP training current as of 2025.
Lead Developer / Data Product Consultant
AI Map Europe (ai-map.eu)
- Built a production-ready R Shiny dashboard for mapping and monetizing the European AI ecosystem; migrated from CSV-based data to SQLite with admin authentication, visitor analytics, database-backed institution management, paid featured listings, public inquiry forms, and SMTP email notifications.
- Improved UI/UX, SEO metadata, structured data, sitemap/robots support, responsive layout, and security hardening with input validation, output escaping, login throttling, verified-only public records, and deployment/security documentation; expanded and audited 400+ verified European AI institutions using curated sources such as ELLIS, CAIRNE, AI NATION, NET4AI, INSAIT, and AI-on-Demand with provenance and verification reporting.
Data Science & Risk Analytics Consultant
Financial Sector
- Used OpenCode and AI-assisted development to analyse and refactor legacy R code, identify duplicated logic, improve maintainability, and support debugging and technical documentation.
- Optimized four business processes and accelerated implementation of automated stress tests and prognostic models through human-reviewed AI-assisted R development.
- Built R-based analysis/reporting workflows and interactive components for stakeholder review in a regulated finance environment.
AI & Analytics Consultant
Finance / LLM-Based Sentiment Analytics
- Developed recurring LLM-based sentiment analysis workflows for financial news, including automated PDF reporting, result preparation, Streamlit-based access, n8n orchestration, and Flowise-assisted workflow testing.
Data Science & Real-World Evidence Consultant
Medical University Pleven / Cancer Registry & Biobank
- Conducted oncology data analyses under strict data quality expectations and built interactive Shiny dashboards for clinical and research stakeholders.
- Supported structured data integration, documentation, biobank workflows, evidence generation, data transparency, and medical research decision support.
Lead Data Science & Reporting Automation Consultant
T-Systems / European Central Bank (ECB) / Finance Sector
- Delivered automated statistical reporting workflows for time-series financial data; built an R-based reporting library for Word/PDF outputs and migrated legacy logic into R/Python.
- Improved reproducibility, maintainability, and operational robustness; integrated analytics into processes with Camunda and supported CI/CD with GitLab pipelines, tests, linting, static analysis, and documentation.
- Represented the team lead and contributed to sprint planning, QA, coordination, and stakeholder-facing delivery.
CEO, Co-Founder, AI & Data Lead
Leap Dynamics GmbH
- Consulting, AI systems, data science, analytics engineering, software development, infrastructure, and technical leadership.
- Lead consulting and technical delivery across AI, data science, analytics engineering, software development, and infrastructure projects.
- Designed and operated private AI infrastructure using Ollama, vLLM, LM Studio, Open WebUI, n8n, and RAG-oriented setups; evaluated GenAI systems for performance, privacy, reliability, cost, and practical enterprise use.
- Established AI-assisted R/Python engineering workflows with OpenCode for code generation, refactoring, debugging, test support, and technical documentation, while retaining mandatory human review, traceability, QA, and regulatory accountability.
Research Associate
Humboldt University of Berlin / Charité - Universitätsmedizin Berlin
- Bioinformatics and theoretical biology research with focus on oncology, transcriptomics, time-series analysis, alternative splicing, and systems biology.
CTO & Co-Founder
Promethano GmbH
- Technology and software for life sciences; development of web applications for time-series data collection, analysis, and visualization.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Healthcare, Professional Services, Biotechnology, Banking and Finance, and Pharmaceutical.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Product Development, Research and Development, Business Intelligence, Quality Assurance, and Finance.
Summary
AI and Data Science Lead with a PhD in Bioinformatics and consulting experience in Healthcare, Life Sciences, Finance, and regulated environments. Focus: AI-assisted software development for regulated Healthcare, Life Sciences, and Analytics environments using OpenCode and Human Review to accelerate R/Python implementation, refactoring, testing, documentation, and validation. Combines hands-on delivery with Team Leadership, Stakeholder Management, GCP training, and AI Act certification.
Skills
- Ai-Assisted Software Development With Opencode
- Code Generation, Refactoring, And Debugging With Human Review
- Test Support, Documentation, And Validation Workflows
- Ai/Genai Implementation And Llm Systems
- Clinical Data, Statistics, And Regulated Analytics
- Private/Local Llm Deployments And Workflow Integration
- Data Science, Machine Learning, Statistics
- Clinical Data Processes, Validation, And Data Quality
- R/Python Pipelines And Analytics Applications
- Private/Local Llm Deployments And Rag Workflows
- Reporting Automation And Reproducible Outputs
- Stress Tests, Prognostic Models, And Risk Analytics
- Technical Leadership, Traceability, And Qa
- R Shiny And Streamlit Dashboards
- Programming And Analytics: R, Python, Sql/Sqlite, Sas, Matlab
- Data Science And Visualization: R Shiny, Streamlit, Ggplot2, Scikit-Learn, Keras/Tensorflow, Tableau, Leaflet, Html/Css/Javascript
- Bioinformatics And Life Sciences: Rna-Seq, Microarray, Alternative Splicing/Isoforms, Gene Set Enrichment, Pathway/Network Analysis, Genome Assembly, Survival Analysis, Bioconductor, Cytoscape, Geo, Arrayexpress, Ensembl Biomart, Uniprot, Go, Reactome, Kegg, Biogrid, String, Chembl, Cdisc, Sdtm/Adam
- Ai/Llm Systems: Ollama, Vllm, Lm Studio, Open Webui, Flowise, N8n, Rag, Local Llm Hosting
- Ai-Assisted Development: Opencode, Chatgpt, Code Generation, Refactoring, Debugging, Test Support, Technical Documentation, Human Review
- Engineering And Reporting: Docker, Gitlab Ci/Cd, Camunda, Linux, Azure, Gcp, R Markdown, Knitr, Latex, Automated Word/Pdf Reporting
- Team Leadership And Technical Coordination
- Sprint Planning And Agile Delivery
- Stakeholder Communication
- Introduction Of Ai-Assisted Development Practices While Maintaining Human Review, Traceability, Qa, And Regulatory Accountability
- Ai Governance Awareness And Ai Act Certification
Languages
Education
PhD · Bioinformatics / Theoretical Biology
Freie Universität Berlin
M.Sc. · Bioinformatics · Berlin, Germany
Freie Universität Berlin
B.Sc. · Bioinformatics · Berlin, Germany
Certifications & licenses
AI Act certification
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Nikolai is based in Berlin, Germany.
Nikolai speaks the following languages: Bulgarian (Advanced), German (Advanced), English (Advanced), Russian (Advanced).
Nikolai has at least 12 years of experience. During this time, Nikolai has worked in at least 9 different roles and for 11 different companies. The average length of individual experience is 1 year and 1 month. Note that Nikolai may not have shared all experience and actually has more experience.
Based on recent experience, Nikolai would be well-suited for roles such as: Clinical Data Manager, Lead Developer / Data Product Consultant, Data Science & Risk Analytics Consultant.
Nikolai's most recent position is Clinical Data Manager at Dr. Falk Pharma.
In recent years, Nikolai has worked for Dr. Falk Pharma, Miltenyi Biotec, Pharma / Clinical Studies, AI Map Europe (ai-map.eu), and Financial Sector.
Nikolai is most experienced in industries like Information Technology, Healthcare, and Professional Services. Nikolai also has some experience in Biotechnology, Banking and Finance, and Pharmaceutical.
Nikolai is most experienced in business areas like Information Technology, Product Development, and Research and Development. Nikolai also has some experience in Business Intelligence, Quality Assurance, and Finance.
Nikolai has recently worked in industries like Information Technology, Professional Services, and Healthcare.
Nikolai has recently worked in business areas like Information Technology, Business Intelligence, and Product Development.
Nikolai holds a Doctorate in Bioinformatics / Theoretical Biology, a Master in Bioinformatics from Freie Universität Berlin and a Bachelor in Bioinformatics from Freie Universität Berlin.
Nikolai has 2 certificates. These include: GCP training current 2025 and AI Act certification.
Nikolai is immediately available full-time for suitable projects.
Daily rate distribution
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Average rates for similar positions
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The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 15 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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