Senior Bioinformatics Scientist

Placements24; Kimberley; Ibrido; CAD 102.000 - 136.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Retirement plans

Paid time off

Training & conferences

Descrizione del lavoro

Placements24 in Kimberley, ZA, is seeking a Senior Bioinformatics Scientist to lead omics data analysis in a hybrid on-site/remote role. You will design pipelines for WGS, RNA-Seq, and proteomics, and collaborate with biology, chemistry, and clinical teams to drive drug discovery and diagnostic development.

The ideal candidate holds a Ph.D. with 5+ years of experience, strong Python and R skills, knowledge of BLAST, GATK, genome browsers, and cloud computing.

Competenze

• Ph.D. in a quantitative field and 5+ years in bioinformatics or computational biology research.
• Proficiency in Python and R with shell scripting experience.
• Experience with genomic, transcriptomic, and proteomic analyses and cloud platforms.

Mansioni

• Design and implement bioinformatics pipelines for high-throughput sequencing data (WGS, WES, RNA-Seq).
• Develop and maintain computational tools and algorithms for biological data analysis.
• Interpret genomic, transcriptomic, and proteomic datasets to identify drug targets and biomarkers.
• Collaborate with experimental biologists, chemists, and clinicians to define research questions.
• Visualize complex data for both technical and non-technical audiences.
• Contribute to interpretation of clinical data for precision medicine.
• Stay current with advances in bioinformatics and computational biology.
• Manage and curate large biological datasets with data integrity.
• Mentor junior bioinformaticians and support cross-functional projects.
• Contribute to scientific publications and conference presentations.

Conoscenze

Python

R

Shell scripting

Formazione

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

Strumenti

BLAST

GATK

UCSC Genome Browser

Ensembl

Descrizione del lavoro

About the Role

Our client, a cutting-edge biotechnology company specializing in genomics and precision medicine, is looking for a Senior Bioinformatics Scientist to join their innovative team in **Kimberley, Northern Cape, ZA**. This hybrid role requires a blend of on-site collaboration and remote work, focusing on the analysis of large-scale biological datasets. You will be instrumental in developing and applying advanced computational methods to interpret genomic, transcriptomic, and proteomic data, driving insights for drug discovery and diagnostic development. The ideal candidate possesses a strong computational background, extensive experience with relevant software and programming languages, and a deep understanding of biological pathways and disease mechanisms. You will work within a highly collaborative environment, contributing to groundbreaking research that aims to transform healthcare. This is an exciting opportunity to make a significant impact in a rapidly evolving field.

Key Responsibilities

• Design and implement bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., WGS, WES, RNA-Seq).
• Develop and maintain computational tools and algorithms for biological data analysis.
• Analyze and interpret complex genomic, transcriptomic, and proteomic datasets to identify potential drug targets, biomarkers, and therapeutic strategies.
• Collaborate with experimental biologists, chemists, and clinicians to define research questions and design data analysis strategies.
• Visualize and present complex biological data in a clear and understandable manner to both technical and non-technical audiences.
• Contribute to the interpretation of clinical data and its implications for precision medicine.
• Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
• Manage and curate large biological datasets, ensuring data integrity and accessibility.
• Mentor junior bioinformaticians and support cross-functional team projects.
• Contribute to scientific publications and conference presentations.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of experience in bioinformatics or computational biology research, preferably in a biotech or pharmaceutical setting.
• Proficiency in programming languages such as Python and R, and experience with shell scripting.
• Extensive experience with bioinformatics tools and databases (e.g., BLAST, GATK, UCSC Genome Browser, Ensembl).
• Strong understanding of statistical methods and machine learning techniques relevant to biological data analysis.
• Experience with cloud computing platforms (e.g., AWS, GCP) and big data technologies is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to articulate complex technical concepts.
• Ability to work effectively independently and collaboratively in a hybrid team environment.
• Experience in genomics, transcriptomics, or proteomics analysis is essential.

Benefits

Our client offers a competitive salary, comprehensive benefits package including health insurance, retirement plans, and generous paid time off. This hybrid role provides flexibility, allowing you to leverage remote work capabilities while collaborating effectively on-site. We are committed to fostering professional growth through training, conferences, and challenging research projects. Join a dynamic team pushing the boundaries of scientific discovery.