Remote Senior Computational Biologist

Placements24; Mossel Bay; Hybrid; ZAR 2,030,000 - 3,046,000; Full time

Benefits offered by this job

Health insurance

Home office stipend

Conference access

Professional development

Job summary

Placements24 is recruiting a remote Senior Computational Biologist to lead analysis of genomics and systems biology data for drug discovery. You will design scalable pipelines, apply ML models, and translate complex results for cross-functional teams worldwide.

The role requires a PhD and 5+ years in computational biology or bioinformatics, with Python/R proficiency, cloud and container tech, and strong communication in a remote setting.

Qualifications

• PhD in a quantitative field such as Computational Biology, Bioinformatics, CS or Statistics.
• 5+ years post-PhD in computational biology or bioinformatics with omics data focus.
• Proficiency in Python or R with data analysis libraries (SciPy, NumPy, Pandas).
• Experience with cloud platforms and Docker is highly desirable.

Responsibilities

• Design computational strategies for large-scale omics data analysis (genomics, transcriptomics, proteomics, epigenomics).
• Develop statistical and ML models to identify patterns, biomarkers, targets.
• Integrate diverse data sources to understand disease mechanisms and drug response.
• Collaborate with biologists and clinicians to define questions and interpret results.
• Build and maintain robust, scalable bioinformatics pipelines.
• Visualize data to communicate findings to technical and non-technical audiences.
• Contribute to novel analytical methods and stay current with research.
• Mentor junior computational biologists and share expertise.

Skills

Python

R

Bioconductor

Cloud computing

Docker

Machine learning

Education

PhD in Computational Biology / Bioinformatics / CS / Statistics

Tools

SciPy

NumPy

Pandas

Bioconductor

Job description

About the Role

Our client is a leading innovator in precision medicine, seeking a highly experienced Remote Senior Computational Biologist to drive critical data analysis and interpretation initiatives. This fully remote position offers a unique opportunity to work from anywhere, contributing to groundbreaking research in genomics and systems biology. The successful candidate will leverage advanced computational techniques to analyze large-scale biological datasets, uncovering insights that will accelerate drug discovery and the development of personalized therapies. You will collaborate closely with a global team of scientists, bioinformaticians, and clinicians, playing a key role in translating complex biological data into actionable scientific findings. This role demands a strong foundation in biology, statistics, and computer science, with a passion for solving challenging biological questions using data.

Key Responsibilities

• Design and implement computational strategies for the analysis of large-scale omics datasets (genomics, transcriptomics, proteomics, epigenomics).
• Develop and apply statistical and machine learning models to identify biological patterns, biomarkers, and therapeutic targets.
• Integrate diverse biological data sources to gain a holistic understanding of disease mechanisms and drug response.
• Collaborate with experimental biologists and clinicians to define research questions and interpret analysis results.
• Develop and maintain robust, reproducible, and scalable bioinformatics pipelines.
• Visualize complex biological data effectively to communicate findings to both technical and non-technical audiences.
• Contribute to the development of novel analytical methodologies and stay abreast of cutting-edge research in computational biology and bioinformatics.
• Mentor junior computational biologists and contribute to the team's technical expertise.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• A minimum of 5 years of post-doctoral or industry experience in computational biology or bioinformatics, with a strong focus on analyzing omics data.
• Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R) and experience with relevant libraries (e.g., SciPy, NumPy, Pandas, Bioconductor).
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker) is highly desirable.
• Strong understanding of statistical principles, machine learning algorithms, and biological pathways.
• Demonstrated ability to work independently and manage projects effectively in a remote setting.
• Excellent communication and collaboration skills, with the ability to articulate complex findings clearly.
• Experience with large-scale data management and database technologies is a plus.

Benefits

As a fully remote employee, you will enjoy the flexibility and autonomy of working from your preferred location. Our client offers a highly competitive salary, comprehensive health insurance (including international coverage options), performance-based bonuses, generous paid time off, and a home office stipend. We provide extensive opportunities for professional development, including conference attendance and access to online training resources. This is an exciting opportunity to join a forward-thinking company and contribute to the future of medicine from anywhere in the world.