Principal Bio-informatics Scientist

Placements24; Durban; Hybrid; ZAR 1.500.000 - 2.800.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Health benefits

Retirement plan

Professional development

Remote work flexibility

Advanced research tools

Zusammenfassung

Placements24 in Durban, KwaZulu-Natal, is seeking a Principal Bio-informatics Scientist to lead omics analyses and develop advanced computational pipelines. You will collaborate with biologists, chemists, and clinicians to translate data into actionable insights for drug discovery and personalized medicine.

The role requires a PhD and at least 6 years of progressive experience, with expertise in Python/R/Perl, ML, and databases.

Qualifikationen

• PhD in Bioinformatics, Computational Biology, or related field.
• Minimum 6 years in bioinformatics or computational biology with omics data.
• Proven ability to lead complex bioinformatics projects.
• Proficiency in Python, R, and Perl; experience with bioinformatics libraries.
• Database management (SQL/NoSQL) and HPC exposure.

Aufgaben

• Lead design and execution of bioinformatic analyses for omics datasets.
• Develop computational pipelines and algorithms for data interpretation.
• Build and maintain databases for biological data management.
• Apply statistical modeling and machine learning to identify patterns.
• Collaborate with scientists to define research questions and analyses.
• Interpret results and present findings clearly to diverse audiences.
• Contribute to bioinformatics tools and software development.
• Mentor junior bioinformaticians and guide research.
• Stay current with advances in bioinformatics and computational biology.

Kenntnisse

Python

R

Perl

Machine learning

Communication

Ausbildung

PhD in Bioinformatics

Tools

SQL

NoSQL

HPC

Jobbeschreibung

About the Role

Our client is looking for a highly skilled and experienced Principal Bio-informatics Scientist to join their innovative research and development team in Durban, KwaZulu-Natal. This senior role is central to unlocking critical biological insights through the analysis of complex genomic, proteomic, and metabolomic datasets. You will play a pivotal role in designing and implementing advanced computational strategies, developing predictive models, and contributing to the discovery of novel therapeutic targets. The ideal candidate will possess a deep understanding of biological systems, coupled with exceptional computational and statistical expertise. You will collaborate closely with biologists, chemists, and clinicians to translate data into actionable scientific knowledge. This position offers a challenging yet rewarding opportunity to make a significant impact on drug discovery and personalized medicine. The work in Durban, KwaZulu-Natal is at the forefront of biotechnology innovation.

Key Responsibilities

• Lead the design and execution of bioinformatic analyses for large-scale omics datasets (genomics, transcriptomics, proteomics, metabolomics).


• Develop and implement novel computational pipelines and algorithms for data analysis and interpretation.


• Build and maintain robust databases for biological data management and retrieval.


• Apply statistical modeling and machine learning techniques to identify patterns, predict outcomes, and uncover biological insights.


• Collaborate with experimental scientists to define research questions and design appropriate data analysis strategies.


• Interpret complex results and present findings clearly to both technical and non-technical audiences.


• Contribute to the development of bioinformatics tools and software.


• Mentor junior bioinformaticians and guide their research efforts.


• Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific domains.

Requirements

• PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.


• Minimum of 6 years of progressive experience in bioinformatics or computational biology research, with a strong focus on omics data analysis.


• Proven ability to lead complex bioinformatics projects from conception to completion.


• Expertise in programming languages such as Python, R, and/or Perl, and experience with bioinformatics libraries and frameworks.


• Proficiency in database management (SQL, NoSQL) and experience with high-performance computing environments.


• Strong understanding of molecular biology, genetics, and biochemistry.


• Demonstrated experience with machine learning techniques applied to biological data.


• Excellent analytical, problem-solving, and communication skills.


• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.

Benefits

• Highly competitive salary and potential for bonuses based on performance.


• Comprehensive health and wellness benefits.


• Generous retirement plan contribution.


• Opportunities for professional development, attending conferences, and specialized training.


• Access to advanced computational resources and cutting-edge research tools.


• A collaborative and innovative work environment in Durban, KwaZulu-Natal.


• Flexible working arrangements including the possibility of remote work.


• Significant opportunities for career growth and leadership within the R&D division.