Senior Bioinformatician

Placements24; Klerksdorp; Híbrido; ZAR 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Health benefits

Retirement fund

Professional development

Descripción de la vacante

Placements24 is seeking a Senior Bioinformatician to lead analysis of large-scale genomic datasets and develop robust NGS pipelines. The role requires collaboration with clinicians and researchers in Soweto, Gauteng, with a flexible hybrid work setup for data analysis and on-site collaboration.

The ideal candidate has 5+ years of hands-on bioinformatics experience, strong Python/R skills, and a solid background in statistics and machine learning applied to biology.

Formación

• 5+ years hands-on bioinformatics analysis experience, focused on NGS data.
• Master's or PhD in a quantitative field or closely related discipline.
• Proficiency in Python and R, with Bioconductor/SciPy experience.
• Strong statistics knowledge and machine learning applicability to biology.
• Experience with public repositories (NCBI, Ensembl, TCGA).
• Comfort with CLI and HPC environments.

Responsabilidades

• Analyze large-scale genomic, transcriptomic, and proteomic data using diverse bioinformatics tools and languages.
• Develop, optimize, and maintain robust bioinformatics pipelines for NGS data analysis.
• Apply statistical and ML methods to identify biological patterns and associations.
• Collaborate with wet-lab scientists, clinicians, and other bioinformaticians to define analyses.
• Visualize and interpret complex data and translate findings into insights.
• Contribute to manuscripts, grant proposals, and technical reports.
• Stay updated with advances in bioinformatics and related technologies.
• Ensure data integrity and quality control in analyses.
• Provide mentorship to junior staff within the Soweto institute.

Conocimientos

Python

R

Problem solving

Analytical thinking

Collaboration

Educación

Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics or related field

Herramientas

Bioconductor

SciPy

Descripción del empleo

About the Role

Our client, a leading genomics research institute, is seeking a skilled Senior Bioinformatician to join their collaborative team in Soweto, Gauteng. This role is vital for analyzing and interpreting large-scale genomic and transcriptomic datasets to uncover novel biological insights and support cutting-edge research projects. The Senior Bioinformatician will be responsible for developing and implementing robust bioinformatics pipelines, applying advanced statistical and computational methods, and working closely with experimental biologists and clinicians. This position offers a flexible hybrid work model, allowing for a balance between on-site collaboration with research teams and remote work for data analysis and reporting, fostering productivity and work-life integration within the Soweto, Gauteng area. The successful candidate will play a key role in advancing our understanding of complex diseases and contributing to the development of personalized medicine approaches.

Key Responsibilities

• Analyze large-scale genomic, transcriptomic, and proteomic datasets using a variety of bioinformatics tools and programming languages.
• Develop, optimize, and maintain robust bioinformatics pipelines for next-generation sequencing (NGS) data analysis.
• Apply statistical and machine learning methods to identify significant biological patterns and associations.
• Collaborate closely with wet‑lab scientists, clinicians, and other bioinformaticians to define research questions and data analysis strategies.
• Visualize and interpret complex biological data, translating findings into actionable insights.
• Contribute to the writing of scientific manuscripts, grant proposals, and technical reports.
• Stay current with the latest advancements in bioinformatics, computational biology, and relevant technologies.
• Ensure data integrity, quality control, and efficient data management practices.
• Provide guidance and mentorship to junior bioinformaticians and research staff within the Soweto, Gauteng institute.

Requirements

• Master's degree or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of hands‑on experience in bioinformatics analysis, with a focus on next-generation sequencing data.
• Proficiency in programming languages such as Python and R, and experience with relevant bioinformatics libraries and packages (e.g., Bioconductor, SciPy).
• Strong understanding of statistical methods and machine learning algorithms applicable to biological data.
• Experience with common bioinformatics databases and public repositories (e.g., NCBI, Ensembl, TCGA).
• Familiarity with command-line interfaces and high-performance computing environments.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities, with experience working in interdisciplinary teams.
• Knowledge of data visualization tools is desirable.
• Must be based in or willing to relocate to the Soweto, Gauteng area for on‑site requirements.

Benefits

• Our client offers a competitive salary, comprehensive health benefits, a retirement fund, and opportunities for professional development and continued education. The hybrid work arrangement provides flexibility. Employees have access to state-of-the-art computational resources and the chance to contribute to high-impact research in genomics and personalized medicine within the vibrant scientific community of Soweto, Gauteng.