Senior Computational Biologist - Omics Data Analysis

Placements24; Queenstown; Hybrid; NZD 217,000 - 271,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive health benefits

Generous paid time off

Professional development opportunities

Fully remote work

Access to powerful computational资源

Job summary

Placements24 is seeking a Senior Computational Biologist for a fully remote role with an administrative base in Queenstown, ZA. The role focuses on analyzing genomics, transcriptomics, and epigenomics data, developing pipelines, and contributing to high-impact publications.

The ideal candidate has a Ph.D./Masters in a quantitative field and at least 5 years of hands-on omics experience, with strong Python/R skills and cloud platform experience.

Qualifications

• Ph.D. or Master's in Computational Biology, Bioinformatics, CS, Statistics, or related field.
• Minimum 5 years of hands-on omics data analysis experience.
• Proficiency in Python or R and bioinformatics libraries/tools.
• Strong knowledge of statistical modeling, ML, and experimental design.
• Experience with cloud platforms and Git is essential.
• Familiarity with diverse omics data types and analysis strategies.
• Excellent problem-solving and remote work prioritization abilities.
• Strong communication for virtual collaboration and publications.

Responsibilities

• Develop, implement, and maintain robust computational pipelines for large-scale omics data.
• Perform statistical analysis, machine learning, and data mining on genomic and transcriptomic data.
• Collaborate with experimental biologists and clinicians to interpret data and generate insights.
• Design and conduct bioinformatics analyses to support disease mechanism studies and biomarker discovery.
• Visualize complex biological data for presentations and publications.
• Contribute to development of novel computational methods and algorithms.
• Ensure data integrity, reproducibility, and efficient data management.
• Stay updated with advances in computational biology and bioinformatics.
• Mentor junior computational biologists in a remote team setting.

Skills

Statistical modeling

Machine learning

Experimental design

Remote collaboration

Problem solving mindset

Education

Ph.D. or Master's in Computational Biology or related field

Tools

Python

R

Git

Cloud platforms (AWS/GCP/Azure)

Bioinformatics libraries/tools

Job description

About the Role

Our client, a cutting-edge firm in Scientific Research & Development, is seeking a highly skilled Senior Computational Biologist to join their expanding, fully remote team. This position is crucial for driving the analysis of complex omics datasets, including genomics, transcriptomics, and epigenomics, to uncover novel biological insights. As a remote-first role, you will leverage your expertise in bioinformatics tools and programming to develop sophisticated analytical pipelines, collaborate with researchers globally, and contribute to high-impact scientific publications. The ideal candidate is a self-motivated individual with a deep understanding of statistical methods and machine learning applied to biological data. While this role is fully remote, Queenstown, Eastern Cape, ZA, represents an administrative base from which this globally distributed team is managed.

Key Responsibilities

• Develop, implement, and maintain robust computational pipelines for the analysis of large-scale omics data.
• Perform statistical analysis, machine learning, and data mining on genomic, transcriptomic, and other high-throughput biological data.
• Collaborate with experimental biologists and clinicians to interpret complex datasets and generate actionable insights.
• Design and conduct bioinformatics analyses to support various research projects, including disease mechanism studies and biomarker discovery.
• Visualize complex biological data effectively for presentations and publications.
• Contribute to the development of novel computational methods and algorithms.
• Ensure data integrity, reproducibility, and efficient data management.
• Stay current with the latest advancements in computational biology, bioinformatics, and relevant biological fields.
• Mentor junior computational biologists and collaborate effectively within a remote team structure.

Requirements

• Ph.D. or Master's degree in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of hands-on experience in analyzing omics data, with a strong track record.
• Proficiency in programming languages like Python or R, and experience with bioinformatics libraries and tools.
• Solid understanding of statistical modeling, machine learning and experimental design principles.
• Experience with cloud computing platforms (AWS, GCP, Azure) and version control systems (Git) is essential.
• Familiarity with diverse omics data types and analysis strategies.
• Excellent problem-solving skills and the ability to work independently and manage priorities effectively in a remote setting.
• Strong communication and collaboration skills for virtual teamwork.
• Experience in contributing to scientific publications and presentations.

Benefits

• Competitive salary and potential for research grants.
• Comprehensive health and wellness benefits package.
• Generous paid time off and holidays.
• Professional development opportunities, including online courses and conference attendance.
• Fully remote work environment promoting excellent work-life balance.
• Opportunity to work on impactful research at the forefront of biological discovery.
• Access to powerful computational resources.