Senior scientific software developer for AI in regulatory genomics

Technical University of Munich; München; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

An established industry player is seeking a Senior Scientific Software Developer to join an innovative project focused on AI in regulatory genomics. This role involves designing scalable data systems and workflows, developing APIs for algorithm implementation, and collaborating with a dynamic team of researchers. The position offers opportunities for professional growth in an international and interdisciplinary environment, with the potential for a permanent position. If you are passionate about computational biology and eager to make a significant impact in the field, this is the perfect opportunity for you.

Leistungen

Flexible working hours

Home-office policies

Social benefits

International environment

Qualifikationen

• PhD or 3+ years of experience in scientific software development.
• Experience with NGS data processing and deep learning frameworks.

Aufgaben

• Design and implement data backend systems and automated processing workflows.
• Collaborate with postdocs and mentor junior colleagues.

Kenntnisse

NGS data processing

Deep learning frameworks

Scientific software development

Organizational skills

Effective communication

Ausbildung

PhD in Computational Biology

PhD in Computer Science

PhD in Physics

Jobbeschreibung

Senior Scientific Software Developer for AI in Regulatory Genomics

About us

The Chair of Computational Molecular Medicine, led by Prof Julien Gagneur, develops computational approaches to study the genetic basis of gene regulation and its implications in diseases. Our work ranges from understanding basic mechanisms of gene expression to unraveling genetic aberrations that trigger rare diseases and cancer. More at our website.

The project

EPIC is a 10-million Euro project funded for 6 years by the European Research Council under the ERC Synergy grant scheme. It brings together three groups specializing in high-throughput omics assays, synthetic biology, and AI/bioinformatics. The goal is to decipher the complete regulatory code of the eukaryote S. cerevisiae, leveraging evolution across fungal species and designing genes for biotechnological applications. Our team will develop new AI models to analyze multi-modal, multi-species data, unravel complex regulatory instructions, and facilitate gene and cell design.

Your role

As the senior computational biologist, you will ensure a scalable ecosystem for the project by designing and implementing:

1. Data backend systems
2. Automated processing workflows with QC and reproducibility metrics
3. APIs and packages for algorithm development, including DNA/RNA sequence modeling, MPRA, and gene design algorithms
4. The project data portal for browsing data and model outputs

You will collaborate with postdocs and be supported by junior colleagues such as PhD candidates and students.

Requirements

• PhD in Computational Biology, Computer Science, Physics, or at least 3 years of scientific software development experience
• Experience with NGS data processing and modeling
• Experience with deep learning frameworks
• Strong organizational skills and mentoring capabilities
• Fluency in English and effective communication in multidisciplinary teams

We offer

The position starts on July 1st and is funded until June 30th. Salary is according to the German TV-L E14 scale, including social benefits. Opportunities include developing research management skills and transitioning to a permanent position. The environment is international, interdisciplinary, and at the top of European rankings, with access to excellent colleagues and students. We support flexible working hours and home-office policies. Applications from women and disabled candidates are especially encouraged.

Application

Submit your application including a cover letter, CV, transcripts, and references by Sunday, April 14th. Please refer to “EPIC - Postdoc 1” in the email subject. We process applications in accordance with GDPR. By applying, you confirm you have read our data protection information.