Remote Senior Computational Biologist - Genomics Data Analysis

Placements24; Durban; Hybrid; ZAR 900.000 - 1.400.000; Vollzeit

Benefits dieser Stelle

Private health insurance

Retirement savings plan

Paid time off

Home office stipend

Professional development

Zusammenfassung

Placements24 is seeking a Senior Computational Biologist to join a fully remote research team focused on genomics and personalized medicine. You will design pipelines for whole-genome sequencing, RNA-seq, and more, applying advanced statistics and ML to extract biological insights.

Working remotely across South Africa, you will collaborate with biologists, clinicians, and bioinformaticians, publish findings, mentor juniors, and contribute to grant proposals while staying at the forefront of

Qualifikationen

• Ph.D. in a quantitative field relevant to computational biology.
• Minimum of 5 years of hands-on experience analyzing large-scale genomic datasets.
• Strong proficiency in Python and R and bioinformatics libraries.
• Expertise in statistical modeling, machine learning, and data mining techniques.
• Experience with genomic data formats and tools (GATK, BWA, STAR, DESeq2).
• Familiarity with cloud platforms (AWS, Google Cloud) for large-scale processing.
• Excellent problem-solving and independent work in remote settings.
• Strong written and verbal communication; capable of multi-project management.

Aufgaben

• Design and implement computational pipelines for large-scale genomic data (WGS, RNA-seq, ChIP-seq).
• Develop and apply statistical models and ML to identify variants and expression patterns.
• Collaborate with biologists, clinicians, and bioinformaticians to interpret results.
• Develop novel algorithms and software tools to enhance analysis capabilities.
• Present findings clearly to technical and non-technical audiences.
• Contribute to grant proposals and scientific publications.
• Mentor junior computational biologists and promote knowledge sharing.
• Stay updated on genomics, bioinformatics, and computational biology advances.

Kenntnisse

Python

R

Statistical modeling

Machine learning

Genomics data analysis

Data mining

Remote collaboration

Ausbildung

PhD in Computational Biology / Bioinformatics / Statistics / CS

Tools

GATK

BWA

STAR

DESeq2

Jobbeschreibung

About the Role

Our client, a globally recognized leader in bioinformatics and computational biology, is seeking an exceptional Senior Computational Biologist to join their fully remote research team. This role is central to unlocking insights from massive genomic datasets, driving discoveries in personalized medicine and drug development. You will leverage your expertise in advanced statistical methods and bioinformatics tools to analyze complex genomic data, contributing to projects that have a profound impact on human health. As a remote-first organization, we foster a culture of autonomy, collaboration, and continuous learning. This position offers the flexibility to work from anywhere within South Africa, supported by cutting-edge technology and a world-class remote infrastructure.

Key Responsibilities

• Design and implement computational pipelines for the analysis of large-scale genomic datasets (e.g., whole-genome sequencing, RNA-seq, ChIP-seq).
• Develop and apply advanced statistical and machine learning models to identify genetic variants, gene expression patterns, and regulatory networks.
• Collaborate with experimental biologists, clinicians, and bioinformaticians to interpret results and guide research directions.
• Develop novel algorithms and software tools to enhance genomic data analysis capabilities.
• Present complex findings clearly and concisely to both technical and non-technical audiences.
• Contribute to grant proposals and the preparation of scientific publications.
• Mentor junior computational biologists and foster knowledge sharing within the remote team.
• Maintain up-to-date knowledge of the latest advancements in genomics, bioinformatics, and computational biology.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of hands-on experience in analyzing large-scale genomic datasets.
• Strong proficiency in programming languages such as Python and R, and experience with bioinformatics libraries.
• Expertise in statistical modeling, machine learning, and data mining techniques.
• Experience with common genomic data formats and analysis tools (e.g., GATK, BWA, STAR, DESeq2).
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) for large-scale data processing.
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• Strong written and verbal communication skills.
• Demonstrated ability to manage multiple projects and meet deadlines.

Benefits

Our client offers a highly competitive salary commensurate with experience, along with a comprehensive benefits package that includes private health insurance, a robust retirement savings plan, and generous paid time off. As a fully remote role, we provide a home office stipend and support for professional development, including conference attendance and online courses. We believe in fostering a healthy work-life balance and offer flexible working hours to accommodate individual needs. Join a forward-thinking company that is revolutionizing healthcare through data-driven insights and offers unparalleled opportunities for career growth in the field of computational biology.