Post-Master s/Postdoctoral Researcher position– in Bioinformatics, AI Software Engineering (2-Year Interdisciplinary Role)
Post-Master s/Postdoctoral Researcher position– in Bioinformatics, AI Software Engineering (2-Year Interdisciplinary Role)
Post-Master s/Postdoctoral Researcher position– in Bioinformatics, AI Software Engineering (2-Year Interdisciplinary Role)
Post-Master s/Postdoctoral Researcher position– in Bioinformatics, AI Software Engineering (2-Year Interdisciplinary Role)
Universität Bern
Fach- und Hochschulen
Bern
- Vollzeit
- 88.500 CHF – 127.500 CHF (von XING geschätzt)
- Vor Ort
- Aktiv auf der Suche
Post-Master s/Postdoctoral Researcher position– in Bioinformatics, AI Software Engineering (2-Year Interdisciplinary Role)
Über diesen Job
Post-Master's/Postdoctoral Researcher position– in Bioinformatics, AI & Software Engineering (2-Year Interdisciplinary Role)
80-100%
About the Project
BioAI4LCSM is a highly interdisciplinary research initiative bridging biopharmaceutical R&D, AI/ML innovation, and modern software engineering. The goal is to develop adaptive, intelligent "Bioinformatics-as-a-Service” (BAAS) tools to revolutionize data analysis in the biopharma industry. We aim to automate and optimize complex workflows through advanced algorithmic modeling, real-time data processing, and AI-enhanced system self-assessment.
Institutions involved:
- University of Bern – Dr. Sebastiano Panichella (Software Engineering, Generative AI)
- Genedata – Reto Ossola & Othmar Pfannes (Biopharmaceutical Software Innovation)
- HES-SO Valais-Wallis – Dr. Saša Miladinović (Applied Data Analytics and Algorithmic Modeling)
Candidate Profile
We are looking for candidates with the following background:
- Education: Master's or PhD degree in Bioinformatics, Computer Science, Software
- Engineering, or a related field.
Core Skills:
- Strong programming abilities (especially coding in R, Python, and/or similar languages)
- Experience with bioinformatics is desirable.
- Understanding of bioinformatics workflows and data formats (or willingness to gain rapid familiarity) is desirable.
- Familiarity with AI/ML techniques and software development practices.
- Strong organizational, communication, and collaborative skills.
- Proficiency in English (spoken and written) is required.
Additional Preferred Experience:
- Experience with state-of-the-art mass spectrometry computational tools.
- Experience in developing analytical pipelines or computational biology tools.
- Knowledge of data engineering or DevOps pipeline tools.
- Strong communication and teamwork skills in an interdisciplinary setting.
Tasks
Your Role
You will:
You will:
- Conduct research on AI/ML-driven analysis of biopharmaceutical data.
- Develop robust, scalable tools to support automated workflows
- Collaborate across institutions to design, prototype, and evaluate data-centric software solutions.
- Engage with industry stakeholders to translate findings into real-world applications.
- Publish results in high-impact venues across bioinformatics, software engineering, and AI domains.
Requirements
Application Requirements
- Send your application to Dr. Sebastiano Panichella (sebastiano.panichella@unibe.ch), with your application package including:
- CV and cover letter
- Academic transcripts (not required with applicants with a PhD degree - a PDF of PhD thesis is required instead)
- Links to relevant code repositories or publications (if available)
- Reference letters on bioinformatics and programming skills, and other experiences
We offer
What we offer
- Stimulating research with a dynamic and innovative research team tackling real-world challenges in biopharmaceutical development.
- Collaborate with expert scientists, engineers, and industry leaders.
- Access to state-of-the-art computational data and tools.
This position offers a unique opportunity to work at the interface of biotech and AI, contributing to impactful innovations in biopharmaceutical research.
Gehalts-Prognose
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Gesamtbewertung
Basierend auf 77 BewertungenVorteile für Mitarbeitende
Flexible Arbeitszeiten
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Unternehmenskultur
Unternehmenskultur
77 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei Universität Bern als eher modern.Dies stimmt ungefähr mit dem Branchen-Durchschnitt überein.