Lead Bioinformatics Analyst - Proteomics Data

Placements24; George; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

Placements24 seeks a Lead Bioinformatics Analyst to head the proteomics data analysis division in George, Western Cape. You will architect computational strategies for interpreting complex proteomic datasets and drive insights into disease mechanisms and targets.

You will lead a team of bioinformaticians, collaborate with experimental biologists, and contribute to publications while leveraging high-throughput mass spectrometry data and HPC resources to advance research.

Qualifications

• Ph.D. or equivalent in Bioinformatics, Computational Biology, Computer Science, Statistics, or related quantitative field.
• 7+ years of progressive experience in bioinformatics with a focus on proteomics data analysis.
• Expertise in mass spectrometry data analysis with MaxQuant, Proteome Discoverer, or equivalents.
• Proficient in Python, R, Perl and libraries such as Bioconductor, SciPy, NumPy.
• Strong knowledge of statistical modeling, hypothesis testing and ML in biology.
• Experience with protein databases (UniProt, PDB) and pathway tools (GO, KEGG).
• Proven leadership and mentoring ability; strong communication skills.
• Experience with HPC environments is advantageous.

Responsibilities

• Lead analysis of large-scale proteomics datasets (LC-MS/MS, ABPP, chemoproteomics).
• Develop computational pipelines for protein identification and quantification.
• Apply advanced statistical and ML methods to identify patterns, biomarkers, and pathways.
• Collaborate with experimental teams to design studies and interpret results.
• Manage and mentor a team of bioinformatics analysts.
• Contribute to manuscripts, grant proposals, and internal reports.
• Maintain and update bioinformatics tools and databases; evaluate new technologies.
• Ensure data integrity, reproducibility, and compliance with standards.

Skills

Leadership

Communication

Mentoring

Problem-solving

Team collaboration

Education

Ph.D. in Bioinformatics or related field

Tools

MaxQuant

Proteome Discoverer

Python

R

Perl

Bioconductor

SciPy

NumPy

UniProt

PDB

GO

KEGG

HPC environments

Job description

About the Role

Our client, a distinguished leader in biochemical research and development, is actively seeking a highly skilled and experienced Lead Bioinformatics Analyst to spearhead their proteomics data analysis division in George, Western Cape . This critical role will involve architecting and implementing advanced computational strategies for the interpretation of complex proteomic datasets, driving novel insights into disease mechanisms and therapeutic targets. The incumbent will lead a team of talented bioinformaticians, foster a collaborative research environment, and interface directly with experimental biologists and chemists. This position offers the chance to influence research direction, work with high-throughput mass spectrometry data, and contribute to publications in high-impact journals. The ideal candidate possesses a deep understanding of statistical modeling, machine learning, and various bioinformatics tools relevant to protein science. This is an exceptional opportunity for a seasoned professional to make a significant impact at the forefront of biological research in a beautiful coastal setting.

Key Responsibilities

• Lead the analysis of large-scale proteomics datasets, including data from mass spectrometry (LC-MS/MS), activity-based protein profiling (ABPP), and chemical proteomics experiments.
• Develop and implement novel computational pipelines and algorithms for protein identification, quantification, and functional annotation.
• Apply advanced statistical methods and machine learning techniques to identify patterns, biomarkers, and pathways from complex proteomic data.
• Collaborate closely with experimental teams to design studies, interpret results, and guide future research directions.
• Manage and mentor a team of bioinformatics analysts, fostering skill development and ensuring project success.
• Contribute to the writing of scientific manuscripts, grant proposals, and internal technical reports.
• Maintain and update existing bioinformatics tools and databases, and evaluate new technologies for their potential application.
• Ensure data integrity, reproducibility, and compliance with relevant standards.

Requirements

• Ph.D. or equivalent terminal degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• A minimum of 7 years of progressive experience in bioinformatics, with a significant focus on the analysis of proteomics data.
• Demonstrated expertise in mass spectrometry data analysis, including experience with software such as MaxQuant, Proteome Discoverer, or similar.
• Strong proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with relevant libraries (e.g., Bioconductor, SciPy, NumPy).
• In-depth knowledge of statistical modeling, hypothesis testing, and machine learning techniques applicable to biological data.
• Experience with protein databases (e.g., UniProt, PDB) and pathway analysis tools (e.g., GO, KEGG).
• Proven leadership and team management skills, with the ability to guide and mentor junior analysts.
• Excellent communication and presentation skills, with the ability to explain complex computational concepts to diverse audiences.
• Strong problem-solving abilities and a proactive approach to tackling research challenges.
• Experience with high-performance computing (HPC) environments is advantageous.

Benefits

• Our client offers a highly competitive salary package commensurate with experience, including potential for performance-based incentives.
• Comprehensive medical, dental, and vision insurance are provided.
• A generous pension fund contribution and significant paid annual leave are included.
• Opportunities for professional development, including attendance at international conferences and advanced training courses, are actively supported.
• The company provides access to state-of-the-art computational resources and a stimulating research environment.
• This role offers a chance to lead impactful research in a beautiful and serene location.
• Relocation assistance can be provided to facilitate the move to George, Western Cape .