Bioinformatician - Scientific Data Manager and Research Software Engineer in Precision Oncology[...]

TN Germany; Heidelberg; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

An innovative firm in Heidelberg is seeking a Bioinformatician to manage scientific data in precision oncology. This role involves establishing a FAIR data repository, performing quality checks, and supporting researchers in data access. Ideal candidates will have a university degree in natural sciences, proficiency in R and Python, and a passion for detail and teamwork. Join a dynamic team contributing to groundbreaking research and enjoy a competitive salary with benefits in a collaborative environment.

Qualifikationen

• Experience in biological data analysis with a strong attention to detail.
• Proficient in R and Python, with a passion for teamwork.

Aufgaben

• Establish a FAIR data repository and perform data quality checks.
• Support researchers with data access and troubleshooting.

Kenntnisse

Biological Data Analysis

R Programming

Python Programming

Data Visualization

Scientific Computing

Ausbildung

University Degree in Natural or Life Sciences

PhD in Relevant Field

Tools

Shiny

Quarto

Jobbeschreibung

Social network you want to login/join with:

Bioinformatician - Scientific Data Manager and Research Software Engineer in Precision Oncology and Multiomics, Heidelberg

Client: EMBL

Location: Heidelberg, Germany

Job Category: Other

EU work permit required: Yes

Job Reference: 55f5e07d6c62

Job Views: 2

Posted: 06.05.2025

Expiry Date: 20.06.2025

Job Description:

Your role

• Establish and curate a FAIR data repository for primary and derived data from INTeRCePT collaborators, using EMBL’s world-class IT infrastructure.
• Perform data import, initial QA/QC, consistency and completeness checks, documentation, and metadata management.
• Create necessary conditions for dataset integration, such as ensuring identifier consistency.
• Support researchers in finding, accessing, and troubleshooting data.
• Perform data uploads to public repositories, in conjunction with scientific publications, under guidance from researchers.
• Generate interfaces for data visualization and browsing, and perform data transformations suitable for machine learning / AI methods.
• Adapt and further develop open-source scientific software relevant to these tasks.
• Engage with the scientific data management and research software engineering community internationally, contributing open source tools and training materials.

Additional Information

• Closing date: 18 September 2024
• Contract duration: until December 2026
• Grading: 4, 5, 6 depending on experience and qualifications (starting monthly salary at €3,607 after tax, excluding pension & insurances) + benefits
• Reference number: HD02682

You have

• A university degree in natural or life sciences, with experience in biological data analysis. A PhD and experience in scientific computing are advantageous.
• A passion for detail, organization, and teamwork.
• Knowledge of R and Python: proficiency in at least one, basic knowledge in the other.
• Enjoyment in creating interactive websites using tools such as Shiny and Quarto.