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Bioinformatics Engineer - Proteomics

Pty
6 days ago
Full-time
Remote
South Africa
Web Development

Introduction

Are you a Bioinformatics Engineer passionate about advancing computational applications for biological data?

We are seeking a skilled Bioinformatics Engineer – Proteomics to join our team. In this role, you will assist in developing, structuring, and benchmarking complex biological datasets to support advanced data processing workflows and machine learning models—transforming raw instrument outputs into actionable scientific insights.

Duties & Responsibilities

 

  • Data Curation & Structuring: Clean, annotate, and organize high-quality proteomic datasets for downstream analytical models and computational pipelines.

  • End-to-End Workflow Optimization: Refine data processing pipelines spanning raw instrument outputs to downstream scientific decision-making.

  • Multi-Assay Integration: Work with diverse data streams across mass spectrometry, structural biology, and spatial analysis technologies.

  • Cross-Functional Collaboration: Partner closely with software engineers, computational biology teams, and data scientists to align domain expertise with data standards.

  • Quality Control & Standards: Establish rigorous data QC protocols and validation frameworks to ensure pipeline precision and reliability.

  • Performance Tracking: Monitor and evaluate pipeline outputs against biological benchmarks, continuously iterating on data quality and validation methodologies.

Desired Experience & Qualification

  • Education & Experience: Degree/Diploma in Computational Biology, Bioinformatics, Computer Science, Data Science, or a related quantitative life sciences discipline, accompanied by 3+ years of hands-on experience working directly with proteomics datasets or computational proteomics workflows.

  • Programming & Scripting: Advanced proficiency in Python and/or R for biological data manipulation, processing, and pipeline development.

  • Biological Domain Knowledge: Strong understanding of end-to-end proteomic workflows, from raw instrument outputs to data interpretation and quality control.

  • Work Authorization: Must be legally authorized to work in the specified hiring jurisdiction.

 

Preferred Skills & Attributes (Advantageous):

  • Proven experience working with diverse proteomic assay types (e.g., mass spectrometry, spatial proteomics, or structural data).

  • Familiarity with computational model benchmarking or building datasets for machine learning applications.

  • Demonstrated technical leadership or project management skills.

Package & Remuneration

TBD

Interested?