Scientific Data Analytics / Bioinformatics SME

IntelligenzIT; Brussel Hoofdstad; Hybrid; EUR 83,000 - 124,000; Full time

Job summary

IntelligenzIT is seeking a hands-on scientific analytics consultant in the Belgium/Brussels area to work with research scientists and wet-lab teams. You will analyze lab-generated data and translate scientific questions into robust analytical approaches and insights.

Requires experience in bioinformatics, multi-omics, and strong Python and/or R skills, with a background in pharma/biotech or translational research preferred. Hybrid model with some onsite presence is available.

Qualifications

• Experience in scientific analytics for biomedical data and translational studies.
• Ability to independently design and execute analyses on omics data.
• Proven track record of collaborating with scientists and wet-lab teams.

Responsibilities

• Analyze lab-generated data and translate questions into analytical approaches.
• Collaborate directly with researchers to derive insights and biomarkers.
• Apply Python or R to multi-omics data including genomics, transcriptomics, and proteomics.

Skills

Bioinformatics

Python

R

Genomics

Transcriptomics

Biostatistics

Data analytics

Education

MSc/PhD in Bioinformatics or related field

Job description

Scientific Data Analytics / Bioinformatics SME

Location: Belgium / Brussels area

Working model: Hybrid, with some onsite presence preferred

Engagement: B2B Contract

Role summary:

Hands-on scientific analytics consultant to work directly with research scientists and wet-lab teams, analyzing lab-generated / experimental data and translating scientific questions into analytical approaches and insights.

Core requirements:

• Scientific / biomedical research data analytics
• Bioinformatics / multi-omics / statistical analysis
• Strong Python and/or R
• Genomics, transcriptomics, proteomics, biomarker or translational datasets
• Ability to independently design and execute scientific analyses
• Experience working directly with scientists / wet-lab teams
• Pharma, biotech, translational research or academic research background preferred
• MSc/PhD preferred in Bioinformatics, Computational Biology, Biostatistics, Biomedical Sciences or related field