Remote Senior Computational Biologist - Genomics

Placements24; Rustenburg; Hybrid; ZAR 1.995.000 - 3.158.000; Vollzeit

Benefits dieser Stelle

Remote-first work environment

Competitive compensation

Zusammenfassung

Placements24 is recruiting a Senior Computational Biologist for a fully remote research and development team. You will analyze large-scale genomic datasets, develop novel algorithms, and collaborate with scientists across disciplines to drive precision medicine initiatives.

The ideal candidate has a PhD in a quantitative field, 5+ years in computational biology, and strong programming and cloud experience. This is a remote-first role with flexible collaboration across global teams.

Qualifikationen

• PhD required in a quantitative field related to computational biology or bioinformatics.
• Minimum 5 years of relevant experience in computational biology or bioinformatics, focused on genomics.
• Proficiency in Python, R, or Perl and experience with bioinformatics libraries.

Aufgaben

• Design, develop, and implement computational pipelines for large-scale omics datasets.
• Apply statistics and machine learning to identify biomarkers and targets.
• Collaborate with experimental biologists and clinicians to interpret results.
• Develop algorithms and software to improve data analysis workflows.
• Stay current with genomics, bioinformatics, and related fields.
• Contribute to scientific publications and grant proposals.
• Mentor junior team members in a remote setting.
• Ensure reproducibility and scalability of methods.
• Participate in virtual team meetings and project planning.
• Design and execute computational experiments for various projects.

Kenntnisse

Python

R

NGS analysis

Genomics

Ausbildung

PhD in Computational Biology

Tools

Cloud platforms (AWS/GCP/Azure)

Docker

Singularity

Bioinformatics libraries

Jobbeschreibung

About the Role

Our client, a pioneering bioinformatics company with a global reach, is seeking a highly skilled and motivated Senior Computational Biologist to join their fully remote research and development team. This position focuses on leveraging advanced computational methods and large-scale genomic datasets to uncover novel biological insights and drive therapeutic innovation. You will play a crucial role in developing and implementing cutting-edge algorithms for analyzing next-generation sequencing data, contributing to groundbreaking discoveries in precision medicine and disease research. As this is a remote-first position, you will have the flexibility to work from anywhere, collaborating virtually with a world-class team of scientists, bioinformaticians, and software engineers. The ideal candidate possesses a deep understanding of genomics, statistical analysis, and programming, with a proven track record of applying these skills to complex biological problems. This is an exceptional opportunity to shape the future of biological data analysis from the comfort of your home office, contributing to significant advancements in the field.

Key Responsibilities

• Design, develop, and implement computational pipelines for the analysis of large-scale genomic, transcriptomic, and epigenomic datasets.
• Apply statistical and machine learning techniques to identify patterns, biomarkers, and therapeutic targets from complex biological data.
• Collaborate closely with experimental biologists and clinicians to interpret results and guide future research directions.
• Develop novel algorithms and software tools to enhance the efficiency and accuracy of biological data analysis.
• Stay current with the latest advancements in bioinformatics, computational biology, genomics, and related fields.
• Contribute to scientific publications, presentations, and grant proposals.
• Mentor junior computational biologists and bioinformaticians within the remote team structure.
• Ensure the reproducibility and scalability of all developed computational methods.
• Participate actively in virtual team meetings, discussions, and project planning sessions.
• Contribute to the design and execution of computational experiments supporting various research projects.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of relevant experience in computational biology or bioinformatics, with a focus on genomics.
• Proficiency in programming languages such as Python, R, or Perl, and experience with bioinformatics libraries.
• Strong experience with next-generation sequencing (NGS) data analysis, including variant calling, RNA-seq analysis, and ChIP-seq analysis.
• Solid understanding of statistical methods and machine learning algorithms relevant to biological data.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Singularity) is highly desirable.
• Excellent problem-solving skills and the ability to work independently and productively in a remote setting.
• Strong communication and collaboration skills, with the ability to effectively convey complex technical information to diverse audiences.
• Demonstrated experience in analyzing large datasets and developing reproducible research workflows.
• Proven ability to contribute to scientific publications and present research findings.

Benefits

• Our client provides a competitive salary and a comprehensive remote work benefits package.
• This includes excellent health insurance, retirement savings plans, and ample paid time off.
• Professional development support, including online courses, conference attendance (virtual or in-person), and opportunities for continuous learning, is readily available.
• You will have the flexibility to work from your preferred location, enjoying a truly remote-first work environment.
• Our client fosters a culture of innovation, collaboration, and work-life balance, making this an ideal opportunity for a motivated computational biologist seeking impactful research without geographical constraints.
• The company actively supports its remote employees with the necessary tools and resources for success.