Remote Senior Computational Biologist

Placements24; Rustenburg; Hybrid; ZAR 1,916,000 - 2,874,000; Full time

Benefits offered by this job

Stock options

Remote salary

Global health coverage

Home office stipend

Flexible hours

Unlimited PTO

Job summary

Placements24 is seeking a Senior Computational Biologist to join their fully remote research team. You will analyze large-scale genomic and transcriptomic data, develop pipelines, and apply machine learning to uncover biological insights for therapeutic discovery.

The role involves collaboration with experimental biologists and bioinformaticians worldwide, translating complex data into actionable findings. We value proactive communication, cloud computing experience, and the ability to work

Qualifications

• PhD in Computational Biology, Bioinformatics, CS, or related quantitative field.
• Minimum 6 years of relevant research experience.
• Proficiency in Python and R with common libraries.
• Experience with cloud computing and containerization (Docker).
• Strong communication for remote teamwork.

Responsibilities

• Analyze and interpret high-throughput sequencing data (e.g., RNA-Seq, WGS, ChIP-Seq).
• Develop and implement computational pipelines and algorithms for biological data analysis.
• Apply machine learning techniques to identify patterns and predict biological outcomes.
• Collaborate with experimental teams to design studies and interpret results in a biological context.
• Contribute to the development of novel bioinformatics tools and software.
• Present complex analytical findings clearly to both technical and non-technical audiences.

Skills

Python

R

Machine learning

Education

PhD in Computational Biology / Bioinformatics / related field

Tools

Docker

AWS

GCP

Azure

Job description

About the Role

Our client is actively seeking a talented Senior Computational Biologist to join their fully remote research team. This critical role will focus on analyzing large-scale genomic and transcriptomic data to uncover biological insights and drive therapeutic discovery. You will collaborate closely with experimental biologists and bioinformaticians worldwide, leveraging your expertise in data analysis, algorithm development, and machine learning. This is an exceptional opportunity to contribute to impactful research from anywhere, joining a company that champions innovation, collaboration, and flexible working practices. The role requires a proactive individual passionate about translating complex biological data into actionable findings.

Key Responsibilities

• Analyze and interpret high-throughput sequencing data (e.g., RNA-Seq, WGS, ChIP-Seq).
• Develop and implement computational pipelines and algorithms for biological data analysis.
• Apply machine learning techniques to identify patterns and predict biological outcomes.
• Collaborate with experimental teams to design studies and interpret results in a biological context.
• Contribute to the development of novel bioinformatics tools and software.
• Present complex analytical findings clearly to both technical and non-technical audiences.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field.
• Minimum of 6 years of experience in computational biology or bioinformatics research.
• Proficiency in programming languages such as Python and R, and experience with relevant libraries.
• Strong understanding of statistical methods and machine learning algorithms applicable to biological data.
• Experience with cloud computing platforms (AWS, GCP, Azure) and containerization (Docker).
• Excellent communication and collaboration skills for effective remote teamwork.

Benefits

• Highly competitive remote salary and potential for stock options.
• Comprehensive global health coverage.
• Generous home office setup stipend.
• Flexible working hours and unlimited paid time off.
• Access to cutting-edge computational resources and collaborative platforms.