Lead Bioinformatician

Placements24; South Africa; À distance; ZAR 1 200 000 - 2 000 000; Plein temps

Avantages offerts par ce poste

Medical aid

Pension fund

Generous annual leave

Professional development

Stock options

Résumé du poste

Placements24 is seeking a Lead Bioinformatician for a cutting-edge biotechnology firm in Tembisa, Gauteng. You will spearhead computational biology efforts, developing analytical pipelines for large-scale genomic and proteomic datasets and translating findings into drug discovery strategies.

The role requires a Ph.D. or Master’s in a quantitative field, 7+ years in bioinformatics with leadership, and strong programming skills in Python/R.

Qualifications

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of relevant experience in bioinformatics, with at least 2 years in a leadership or supervisory role.
• Proven expertise in analyzing large-scale biological datasets (NGS, RNA-Seq, ChIP-Seq, WGS, etc.).
• Strong programming skills in Python, R, or Perl, and experience with relevant bioinformatics libraries and packages.
• Proficiency with shell scripting and experience working in a Linux/Unix environment.
• Solid understanding of statistical modeling, machine learning, and data mining techniques.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-experts.
• Demonstrated ability to lead projects and mentor junior team members.

Responsabilités

• Lead development, optimization, and maintenance of bioinformatics pipelines for NGS, transcriptomics, genomics, and proteomics.
• Design and execute complex computational analyses to identify novel biological targets, biomarkers, and pathways.
• Develop and implement statistical methods and machine learning algorithms for biological data analysis.
• Collaborate closely with molecular biologists, geneticists, and clinicians to interpret results and integrate computational findings with experimental data.
• Manage and mentor a team of bioinformaticians, providing technical guidance and project oversight.
• Ensure the quality, reproducibility, and scalability of bioinformatics workflows.
• Contribute to the strategic planning of computational biology research initiatives.
• Present findings to scientific leadership, research teams, and at external conferences.
• Stay current with the latest advancements in bioinformatics, computational biology, and related fields.

Connaissances

Python

R

Shell scripting

Linux

Machine learning

Formation

PhD or Master’s in Bioinformatics/Computational Biology/CS/Statistics

Outils

AWS

GCP

Azure

Description du poste

About the Role

Our client is a cutting-edge biotechnology firm located in Tembisa, Gauteng , and they are seeking a highly experienced Lead Bioinformatician to spearhead their computational biology efforts. This senior position involves developing and implementing sophisticated analytical pipelines for large-scale genomic and proteomic datasets. You will play a crucial role in interpreting complex biological data, driving discovery, and translating findings into actionable insights that inform drug discovery and development strategies. The ideal candidate will possess a deep understanding of bioinformatics tools, algorithms, and programming languages, coupled with a strong background in biology. This is a leadership opportunity to shape the direction of bioinformatics within a rapidly growing organization. We are looking for an individual who can not only perform complex analyses but also lead and mentor a team of talented bioinformaticians. The work environment is highly collaborative, encouraging innovation and the application of novel computational approaches to solve challenging biological problems. This role is integral to our client's mission of advancing human health through innovative biological research.

Key Responsibilities

• Lead the development, optimization, and maintenance of bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, transcriptomics, genomics, and proteomics.
• Design and execute complex computational analyses to identify novel biological targets, biomarkers, and pathways.
• Develop and implement statistical methods and machine learning algorithms for biological data analysis.
• Collaborate closely with molecular biologists, geneticists, and clinicians to interpret results and integrate computational findings with experimental data.
• Manage and mentor a team of bioinformaticians, providing technical guidance and project oversight.
• Ensure the quality, reproducibility, and scalability of bioinformatics workflows.
• Contribute to the strategic planning of computational biology research initiatives.
• Present findings to scientific leadership, research teams, and at external conferences.
• Stay current with the latest advancements in bioinformatics, computational biology, and related fields.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of relevant experience in bioinformatics, with at least 2 years in a leadership or supervisory role.
• Proven expertise in analyzing large-scale biological datasets (NGS, RNA-Seq, ChIP-Seq, WGS, etc.).
• Strong programming skills in Python, R, or Perl, and experience with relevant bioinformatics libraries and packages.
• Proficiency with shell scripting and experience working in a Linux/Unix environment.
• Solid understanding of statistical modeling, machine learning, and data mining techniques.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-experts.
• Demonstrated ability to lead projects and mentor junior team members.

Benefits

• An attractive annual salary of R to R , depending on qualifications and experience.
• Comprehensive medical aid, including hospital cover and specialist visits.
• Generous annual leave allowance and public holiday off.
• Opportunities for continuous learning and professional development, including access to workshops and conferences.
• Access to high-performance computing clusters and advanced software tools.
• A vibrant and innovative research environment fostering collaboration.
• Performance-based bonuses and stock options may be offered.
• Pension fund contribution with employer matching.