Senior Computational Biologist - AI/ML

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

Benefits offered by this job

Bonus eligibility

Health insurance

Home office stipend

Flexible hours

Pioneering AI research

Job summary

Placements24 is seeking a Senior Computational Biologist to join a fully remote research team. You will develop AI/ML models for genomics, proteomics, and clinical data, driving insights into disease mechanisms and therapeutics.

The role requires a PhD or Master in a quantitative field, 5+ years of experience, and proficiency in Python or R with TensorFlow, PyTorch, and scikit-learn. Cloud and container tech (AWS/Azure/GCP, Docker, Kubernetes) are essential for collaboration.

Qualifications

• Ph.D. or Master’s in Computational Biology, Bioinformatics, CS, or related quantitative field.
• Minimum 5 years of experience in computational biology or bioinformatics with AI/ML focus.
• Proficiency in Python or R and AI/ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of biological data types and analytical methods.
• Experience with cloud platforms (AWS/Azure/GCP) and containers (Docker, Kubernetes).
• Excellent communication and collaboration skills for remote teamwork.

Responsibilities

• Develop and implement AI/ML algorithms for large-scale biological datasets.
• Design computational experiments to identify biomarkers and predict drug efficacy.
• Collaborate with biologists, data scientists, and software engineers to integrate data.
• Build reproducible workflows and pipelines for model development and deployment.
• Stay updated with advances in computational biology and AI/ML.
• Communicate findings through presentations, reports, and publications to a remote team.

Skills

Python

R

AI/ML

Remote collaboration

Communication

Education

PhD or Master in Computational Biology

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly motivated and experienced Senior Computational Biologist with expertise in Artificial Intelligence and Machine Learning to join their fully remote research team. This role is crucial for developing and applying advanced computational models to analyze complex biological data, driving insights into disease mechanisms and therapeutic development. You will work on cutting-edge projects, collaborating virtually with a distributed team of scientists and engineers. This is an ideal opportunity for a talented computational biologist who thrives in a remote work environment and is passionate about leveraging AI/ML to revolutionize biological research and healthcare advancements.

Key Responsibilities

• Develop and implement novel AI/ML algorithms for the analysis of large-scale biological datasets, including genomics, proteomics, and clinical data.
• Design and execute computational experiments to identify biomarkers, predict drug efficacy, and uncover disease pathways.
• Collaborate virtually with experimental biologists, data scientists, and software engineers to integrate diverse data types and drive research projects forward.
• Build and maintain reproducible computational workflows and pipelines for AI/ML model development and deployment.
• Stay current with the latest advancements in computational biology, AI/ML, and their applications in life sciences.
• Communicate research findings and model performance clearly through presentations, reports, and publications to a remote team.

Requirements

• Ph.D. or Master's degree in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in computational biology or bioinformatics, with a strong focus on applying AI/ML techniques.
• Proficiency in programming languages such as Python or R, and extensive experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of biological data types and relevant analytical methods.
• Experience with cloud computing platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Excellent communication and collaboration skills for effective remote teamwork.

Benefits

• Highly competitive salary and performance-based bonuses commensurate with experience.
• Comprehensive health, dental, and vision insurance coverage.
• Generous home office stipend and remote work support.
• Flexible working hours and a strong emphasis on work-life balance.
• Opportunities to contribute to groundbreaking research and shape the future of AI in biology.