Data Engineer Ii

Synexa Life Sciences; Cape Town; On-site; ZAR 480 000 - 700 000; Full time

Job summary

A biotech company in Cape Town seeks a skilled Data Engineer (Bioinformatics) to drive data analysis and biomarker discovery across multi-omics platforms. The role requires an MSc or PhD and 2–5 years of experience in bioinformatics. Proficiency in R and Python is essential for developing robust workflows and automating processes. Candidates with familiarity in regulated environments will be preferred. This position offers an opportunity to collaborate closely with laboratory scientists and project managers.

Qualifications

• Minimum 2–5 years of hands-on experience in bioinformatics within a CRO, pharma, biotech, or clinical research.
• Proficiency in R and/or Python for data analysis and visualisation.
• Familiarity with statistical models, multivariate analysis, and machine learning methods.

Responsibilities

• Analyse high-dimensional data from omics platforms to support biomarker discovery.
• Develop and optimise robust bioinformatics workflows for data processing.
• Automate routine analytical processes for scalable project delivery.

Skills

Data analysis

Bioinformatics

Statistical methods

Machine learning

R programming

Python programming

Education

MSc or PhD in Bioinformatics, Computational Biology, Biostatistics, Systems Biology, or related field

Tools

Bioinformatics tools

Git

Job description

Job Purpose

We are seeking a skilled Data Engineer (Bioinformatics) to drive data analysis and biomarker discovery across multi-omics and regulated bioanalytical platforms.

Main Areas of Responsibility

• Analyse high-dimensional data from omics platforms (e.g., proteomics, transcriptomics) to support biomarker discovery and development.
• Process and interpret quantitative assay data from LC-MS, qPCR, ELISA, flow cytometry, and other platforms used in regulated bioanalytical environments.
• Apply statistical, computational, and machine learning methods to extract meaningful biological insights.
• Develop, maintain, and optimise robust bioinformatics workflows for data processing, quality control, normalisation, and reporting.
• Automate routine analytical processes to support scalable project delivery under tight timelines.
• Ensure rigorous analysis plans aligned with regulatory and scientific standards for clinical relevance and reproducibility.
• Integrate multi-omics and clinical datasets to support mechanistic understanding.
• Develop clear, insightful visualisations and dashboards to aid interpretation and communication of complex results.
• Ensure adherence to internal SOPs, regulatory guidelines (e.g., GCP, GCLP, FDA, EMA), and data integrity standards.
• Maintain accurate documentation, code repositories, and version control for all bioinformatics analyses.
• Partner with laboratory scientists and project managers to deliver high-quality outputs.
• Participate in client meetings and contribute to technical discussions, offering expert insight into bioinformatics aspects.

Qualifications & Experience

Required: MSc or PhD in Bioinformatics, Computational Biology, Biostatistics, Systems Biology, or a related field.

Minimum 2–5 years of hands‑on experience in bioinformatics within a CRO, pharma, biotech, or clinical research setting.

Proficiency in R and/or Python for data analysis and visualisation.

Experience with bioinformatics tools and platforms.

Familiarity with statistical models, multivariate analysis, and machine learning methods.

Ability to use version control systems (e.g., Git).

Desirable

Experience with biomarker data in regulated environments (GxP, GLP, GCLP) is strongly preferred.

PLEASE ENSURE THAT YOUR CV / RESUME IS SUBMITTED IN ENGLISH.