Senior Bioinformatics Scientist

Placements24; Gqeberha; Hybrid; ZAR 1,439,000 - 2,238,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Generous paid time off

Fully remote work

Virtual conferences

Job summary

Placements24 is seeking a Senior Bioinformatics Scientist to join a fully remote research team. You will analyze genomics, transcriptomics, and proteomics data, develop computational pipelines, and collaborate with biologists and clinicians to interpret results.

The role focuses on advancing drug discovery through advanced analytics, statistics, and ML while contributing to cutting-edge research in a distributed, collaborative environment.

Qualifications

• Ph.D. or Master’s degree in a related field.
• 5+ years of experience in bioinformatics or computational biology.
• Proficiency in Python or R and relevant libraries.
• Experience with shell scripting and HPC clusters.
• Experience analyzing various NGS data types.

Responsibilities

• Develop robust computational pipelines for large-scale omics data.
• Analyze sequencing data (RNA-Seq, ChIP-Seq, WGS, WES).
• Collaborate with experimental scientists to design studies and interpret results.
• Apply statistical methods and ML to identify patterns and biomarkers.
• Create visualizations and summaries for publications and presentations.
• Maintain bioinformatics databases and tools for ongoing research.

Skills

Python

R

HPC

NGS analysis

Communication

Remote collaboration

Education

PhD in Bioinformatics/Computational Biology/Statistics or related

MS in Bioinformatics/Computational Biology/Statistics or related

Tools

Bioinformatics libraries

Command-line

Job description

About the Role

Our client is seeking a highly skilled and motivated Senior Bioinformatics Scientist to join their fully remote research team. This position is pivotal in analyzing complex biological datasets generated from genomics, transcriptomics, and proteomics studies, driving insights that inform drug discovery and development. You will be responsible for developing and implementing advanced computational and statistical analyses, building robust pipelines, and collaborating with experimental biologists and clinicians to interpret results. This role offers the unique advantage of contributing to cutting-edge research from anywhere, fostering a culture of scientific excellence and innovation within a distributed team.

Key Responsibilities

• Develop and implement robust computational pipelines for the analysis of large-scale genomic and omics data.
• Analyze and interpret high-throughput sequencing data (e.g., RNA-Seq, ChIP-Seq, WGS, WES).
• Collaborate with experimental scientists to design studies and interpret results in a biological context.
• Develop and apply statistical methods and machine learning algorithms to identify patterns and biomarkers.
• Create clear visualizations and summaries of complex data for scientific presentations and publications.
• Maintain and update bioinformatics databases and tools to support ongoing research efforts.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field.
• Minimum of 5 years of experience in bioinformatics or computational biology, preferably in a research setting.
• Proficiency in programming languages such as Python or R, and experience with bioinformatics libraries.
• Strong experience with command-line environments, shell scripting, and high-performance computing clusters.
• Expertise in analyzing various types of next-generation sequencing (NGS) data.
• Excellent communication and collaboration skills for effective remote teamwork .

Benefits

• Competitive salary commensurate with experience.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and flexible working hours.
• A supportive, collaborative, and fully remote work environment .
• Opportunities for professional growth, skill development, and participation in virtual conferences.