Senior Seo Strategist — Hybrid & Data-Driven Growth

Placements24; South Africa; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Comprehensive health insurance

Dental insurance

Vision insurance

Retirement savings plan with employer

Job summary

Placements24 in Paarl, South Africa, seeks a Bioinformatics Scientist to join a dynamic research program focused on the analysis of large-scale datasets spanning genomics, transcriptomics, and proteomics. You will partner with experimental and computational biologists to derive actionable insights for drug discovery and science advancement.

The role emphasizes strong computational skills, deep biological understanding, and a passion for data-driven problem solving in a collaborative, fast-paced

Qualifications

• Ph.D. or Master’s degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• Proven experience in analyzing diverse biological datasets (genomic, transcriptomic, proteomic).
• Proficiency in Python or R and experience with bioinformatics libraries.
• Familiarity with bioinformatics databases and tools (BLAST, Ensembl, GATK).
• Strong statistical and machine learning knowledge for biological data analysis.
• Excellent problem-solving and collaborative research skills.

Responsibilities

• Analyze and interpret large-scale biological datasets using bioinformatics tools and pipelines.
• Develop and implement computational methods for data processing and statistics.
• Collaborate with experimental teams to design studies and interpret high-throughput results.
• Identify biomarkers and therapeutic targets through data-driven approaches.
• Visualize and communicate data findings to technical and non-technical audiences.
• Stay updated with advancements in bioinformatics and computational biology.

Skills

Python

R

Statistics

Machine learning

Collaboration

Education

Ph.D./M.S. in Bioinformatics/Computational Biology/CS/Statistics

Tools

BLAST

Ensembl

GATK

Job description

Bioinformatics Scientist - Data Analysis

Our client is seeking a talented Bioinformatics Scientist to join their advanced research initiatives in Paarl . This position focuses on the analysis of large-scale biological datasets, including genomics, transcriptomics, and proteomics, to uncover novel biological insights and support drug discovery efforts. You will collaborate with experimental biologists and computational biologists to interpret complex data and drive research forward. The ideal candidate will possess strong computational skills, a deep understanding of biological principles, and a passion for leveraging data to solve complex scientific challenges in a dynamic research setting.

About the Role

Our client is seeking a talented Bioinformatics Scientist to join their advanced research initiatives in Paarl . This position focuses on the analysis of large-scale biological datasets, including genomics, transcriptomics, and proteomics, to uncover novel biological insights and support drug discovery efforts. You will collaborate with experimental biologists and computational biologists to interpret complex data and drive research forward. The ideal candidate will possess strong computational skills, a deep understanding of biological principles, and a passion for leveraging data to solve complex scientific challenges in a dynamic research setting.

Key Responsibilities

• Analyze and interpret large-scale biological datasets using various bioinformatics tools and pipelines.
• Develop and implement computational methods for data processing, quality control, and statistical analysis.
• Collaborate with experimental teams to design studies and interpret results from high-throughput experiments.
• Identify novel biomarkers and therapeutic targets through data-driven approaches.
• Visualize and communicate complex data findings to both technical and non-technical audiences.
• Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant biological domains.

Requirements

• Ph.D. or Master\'s degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• Proven experience in analyzing diverse biological datasets (e.g., genomic , transcriptomic, proteomic).
• Proficiency in programming languages such as Python or R and experience with bioinformatics libraries.
• Familiarity with common bioinformatics databases and tools (e.g., BLAST, Ensembl, GATK).
• Strong statistical and machine learning knowledge relevant to biological data analysis.
• Excellent problem-solving skills and the ability to work effectively in a collaborative research environment.

Benefits

• Competitive salary and annual performance bonus.
• Full-time position with excellent growth prospects in Paarl .
• Comprehensive health, dental, and vision insurance coverage.
• Retirement savings plan with employer match.
• Opportunities for continuous learning, attending conferences, and professional development.