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Bioinformatiker (m/w/d) – Institut für Medical Data Science - Job Opportunity at Otto-von-Guericke-Universität Magdeburg Medizinische Fakultät

Magdeburg, Germany
Full-time
Mid-level
Posted: June 5, 2025
On-site
EUR 55,500 – 68,500 per year

Benefits

Comprehensive professional development through internal and external training programs that enhance career progression and technical expertise in the rapidly evolving bioinformatics field
Subsidized public transportation through jobticket program providing cost savings and environmental benefits for daily commuting
Doctoral degree opportunity (Promotion) providing advanced academic credentials and research experience highly valued in the bioinformatics industry
Comprehensive corporate wellness program including diverse sports and relaxation offerings supporting work-life balance and employee health
Structured onboarding program with dedicated orientation sessions ensuring smooth integration into the academic research environment
Employment in a maximum care university hospital environment providing exposure to cutting-edge medical research and clinical applications

Key Responsibilities

Lead genomic, transcriptomic, and epigenetic data analysis initiatives that directly contribute to breakthrough cancer research and patient survival improvements
Drive implementation of cutting-edge single-cell sequencing technologies to unlock cellular process insights that advance precision medicine approaches
Develop and optimize proprietary bioinformatics software solutions and critically evaluate existing tools to maintain competitive advantage in medical data analysis
Execute advanced statistical methods and AI-driven multi-omics data integration projects that position the institute at the forefront of computational biology
Collaborate with clinical partners across Germany on high-impact cancer research projects that translate computational findings into therapeutic applications
Expand research impact into infectious diseases and mental health domains through strategic partnerships that diversify institutional research portfolio

Requirements

Education

Abgeschlossenes Hochschulstudium (Master of Science) in den Fächern Informatik, Bioinformatik, Mathematik, Statistik oder Physik

Experience

Not specified

Required Skills

Gute Programmierkenntnisse (idealerweise R, alternativ Python oder Java) Sicherer Umgang der englischen Sprache in Wort und Schrift Verantwortungsbewusstes, kollegiales und ergebnisorientiertes Arbeiten Hohe Motivation und Leistungsbereitschaft
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Sauge AI Market Intelligence

Industry Trends

The bioinformatics sector is experiencing unprecedented growth driven by the convergence of artificial intelligence and genomic medicine, with particular emphasis on single-cell analysis technologies that are revolutionizing our understanding of cellular heterogeneity in disease states. German research institutions are increasingly investing in computational biology infrastructure to maintain competitiveness in the global precision medicine landscape. Multi-omics data integration represents a critical frontier in modern biomedical research, where the ability to synthesize genomic, transcriptomic, and epigenetic datasets is becoming essential for understanding complex disease mechanisms. The integration of AI and machine learning approaches in this field is creating new opportunities for breakthrough discoveries in cancer therapeutics. European academic institutions are strengthening clinical-computational partnerships to bridge the translational gap between basic research and patient care, with Germany's university hospital system providing unique advantages for bioinformaticians to directly impact clinical outcomes through their analytical work.

Salary Evaluation

The offered salary range of EUR 55,500 – 68,500 annually aligns well with German public sector compensation for mid-level bioinformatics positions, representing approximately 15-20% above national average for similar academic roles. This compensation reflects the specialized nature of the position and the premium placed on computational biology expertise in the German research landscape.

Role Significance

Typical bioinformatics research groups in German university hospitals operate with 4-8 computational scientists, where this position would likely coordinate with 2-3 junior researchers while reporting to senior faculty, creating opportunities for both mentorship and collaborative research leadership.
This mid-level position offers substantial autonomy in research direction and methodology selection, with expectations for independent project leadership and software development initiatives that indicate a role positioned between junior analyst and senior research scientist levels.

Key Projects

Large-scale genomic cohort studies analyzing tumor evolution patterns across multiple cancer types Development of proprietary algorithms for single-cell RNA sequencing data analysis and visualization Multi-institutional collaborative research projects investigating genetic susceptibility factors in complex diseases Integration of clinical data with molecular profiling results to identify predictive biomarkers for treatment response

Success Factors

Demonstrated ability to translate complex computational analyses into clinically relevant insights that can influence treatment decisions and patient outcomes Proficiency in developing scalable bioinformatics pipelines that can handle the increasing volume and complexity of modern genomic datasets Strong collaborative skills for working effectively with clinical researchers who may have limited computational background Commitment to staying current with rapidly evolving sequencing technologies and analytical methodologies Ability to balance methodological rigor with practical application timelines in a clinical research environment

Market Demand

High demand exists for bioinformatics professionals capable of handling multi-omics datasets and implementing AI-driven analysis pipelines, particularly in academic medical centers where the intersection of computational skills and clinical application creates significant value for research institutions and pharmaceutical partnerships.

Important Skills

Critical Skills

R programming proficiency is essential as the primary analytical language for genomic data analysis in academic research settings, with particular importance for statistical modeling and visualization capabilities required for publication-quality research outputs English language fluency enables participation in international research collaborations and publication in high-impact journals, which are crucial for career advancement in the competitive bioinformatics field Statistical analysis capabilities form the foundation for interpreting complex biological datasets and ensuring research findings meet rigorous academic standards for reproducibility and significance

Beneficial Skills

Python or Java programming skills complement R capabilities and enable integration with broader computational biology ecosystems, particularly for pipeline development and web-based analysis tools Machine learning and AI methodology knowledge positions candidates for leadership in the rapidly expanding field of AI-driven biomedical research Clinical research experience facilitates effective collaboration with medical professionals and enhances ability to identify clinically relevant research questions Project management skills become increasingly valuable for coordinating multi-institutional collaborative research initiatives

Unique Aspects

Integration of cutting-edge single-cell analysis technologies with traditional bulk sequencing approaches provides exposure to the full spectrum of modern genomic analysis methodologies
Direct collaboration with clinical partners nationwide offers unique opportunities to see computational research translated into patient care applications
Three-year contract duration with doctoral degree opportunity creates structured pathway for career advancement in academic or industry settings
Position within Germany's public healthcare system provides insights into European approaches to precision medicine implementation
Multi-disease focus spanning oncology, infectious diseases, and mental health broadens research impact beyond traditional single-domain bioinformatics roles

Career Growth

Career progression typically occurs within 3-5 years for high-performing individuals, with the doctoral opportunity provided in this role significantly accelerating advancement toward senior academic or industry leadership positions.

Potential Next Roles

Senior Bioinformatics Scientist with expanded research portfolio and external funding responsibilities Computational Biology Group Leader overseeing multiple research projects and junior staff Industry Bioinformatics Director transitioning to pharmaceutical or biotechnology companies Academic Faculty Position with teaching and independent research program development

Company Overview

Otto-von-Guericke-Universität Magdeburg Medizinische Fakultät

Otto-von-Guericke-Universität Magdeburg represents a well-established German academic medical center with strong research focus areas in immunology, molecular medicine, and neurosciences. The institution maintains a balanced portfolio of basic and translational research activities, with the Medical Data Science Institute representing a strategic investment in computational approaches to medical research.

The university holds a solid regional reputation in medical research and education, with particular strength in specialized fields like immunology and inflammation research. While not among Germany's top-tier medical schools, it maintains productive research collaborations and contributes meaningfully to the German biomedical research landscape.
Located in Saxony-Anhalt, the institution serves as a significant regional hub for medical education and research, with this position offering opportunities to establish professional networks across Germany through collaborative projects while maintaining cost-of-living advantages compared to major metropolitan research centers.
German academic medical centers typically emphasize methodological rigor, collaborative research approaches, and structured professional development pathways. The environment supports both independent research initiative and team-based project execution, with strong emphasis on work-life balance and employee development.
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