Remote Principal Computational Biologist

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 3,046,000 - 5,076,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Professional development

Conference attendance

Job summary

Placements24 seeks a highly experienced Remote Principal Computational Biologist to lead computational biology research and strategy across genomics, proteomics, transcriptomics, and imaging data.

You will mentor a remote team, design advanced pipelines, and collaborate with experimental biologists to translate questions into actionable analyses and insights. The role emphasizes innovation and scientific excellence.

Qualifications

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or related quantitative discipline with strong biological focus.
• Minimum of 8 years of extensive computational biology research experience and track record of leading major initiatives.
• Experience analyzing large-scale biological datasets (NGS, mass spec).
• Proficiency in Python, R, or Perl and bioinformatics libraries/tools.
• Strong knowledge of statistical modeling, ML algorithms, and data visualization for biological data.
• Experience with HPC and cloud platforms (AWS, GCP, Azure) is desirable.
• Excellent leadership, communication, and remote team management skills.
• Deep understanding of biological principles and computational interpretation.

Responsibilities

• Develop and lead computational biology research projects understanding biological mechanisms and disease pathways.
• Design and implement algorithms and pipelines for large multi-omics datasets.
• Provide mentorship to a team of computational biologists and bioinformaticians.
• Collaborate with experimental scientists to integrate computational findings with hypotheses.
• Identify and evaluate new computational tools and methodologies to enhance capabilities.
• Communicate findings and strategic recommendations to senior leadership.
• Contribute to scientific publications, grants, and conferences.
• Ensure robustness, reproducibility, and scalability of analyses and tools.

Skills

Python

R

Perl

Statistical Modeling

Machine Learning

Data Visualization

Bioinformatics Libraries

Leadership

Remote Team Management

Cloud Platforms

Education

PhD in Computational Biology

Tools

AWS

GCP

Azure

Job description

About the Role

Our client is seeking a highly experienced and visionary Remote Principal Computational Biologist to lead our efforts in unraveling complex biological systems through advanced computational approaches. This is a critical role, offering the unique opportunity to shape our research strategy and drive innovation from a fully remote setting. You will be responsible for developing and implementing cutting-edge computational methodologies to analyze diverse biological datasets, including genomics, transcriptomics, proteomics, and imaging data. As a principal scientist, you will provide strategic direction, mentor junior team members, and collaborate closely with experimental biologists and data scientists to translate complex biological questions into computational analyses and actionable insights. This position requires a deep understanding of biological principles combined with exceptional expertise in bioinformatics, statistical modeling, and machine learning. Join a forward-thinking organization that values scientific excellence and offers the flexibility of remote work.

Key Responsibilities

• Develop and lead the execution of computational biology research projects aimed at understanding complex biological mechanisms and disease pathways.


• Design and implement sophisticated algorithms and pipelines for the analysis of large-scale multi-omics datasets.


• Provide expert guidance and mentorship to a team of computational biologists and bioinformaticians.


• Collaborate effectively with experimental scientists to integrate computational findings with biological hypotheses and experimental validation.


• Identify and evaluate new computational tools, technologies, and methodologies to enhance our research capabilities.


• Communicate complex findings and strategic recommendations to senior leadership and relevant stakeholders.


• Contribute to scientific publications, grant applications, and presentations at leading conferences.


• Ensure the robustness, reproducibility, and scalability of computational analyses and software tools.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative discipline with a strong focus on biological applications.


• Minimum of 8 years of extensive experience in computational biology research, with a proven track record of leading significant research initiatives.


• Demonstrated expertise in analyzing large-scale biological datasets (e.g., next-generation sequencing data, mass spectrometry data).


• Proficiency in programming languages such as Python, R, or Perl, and experience with bioinformatics libraries and tools.


• Strong knowledge of statistical modeling, machine learning algorithms, and data visualization techniques applied to biological data.


• Experience with high-performance computing environments and cloud platforms (AWS, GCP, Azure) is highly desirable.


• Excellent leadership, communication, and interpersonal skills, with the ability to effectively manage and motivate a remote team.


• A deep understanding of fundamental biological principles and their computational interpretation.

Benefits

Our client offers an exceptional compensation package, including a highly competitive salary and comprehensive benefits. As a fully remote Principal Computational Biologist, you will enjoy significant autonomy, the opportunity to work on impactful research projects, and a flexible work schedule. We provide generous support for professional development, including conference attendance and training. Join a collaborative and innovative research environment where your contributions are valued and recognized.

Our client is an equal opportunity employer committed to fostering a diverse and inclusive workplace.