Remote Senior Bioinformatician - Machine Learning

Placements24; Bloemfontein; Hybride; ZAR 1 976 000 - 2 964 000; Plein temps

Avantages offerts par ce poste

Home office stipend

Flexible hours

Professional development budget

Remote-first culture

Résumé du poste

Placements24 is seeking a Senior Bioinformatician with ML expertise to join a fully remote research team focused on developing computational methods for genomics and proteomics. You will build predictive models, design analytical pipelines, and collaborate with a distributed team of biologists, chemists, and data scientists to accelerate discovery.

The ideal candidate holds a PhD or MSc in a quantitative field, has 5+ years of bioinformatics experience, strong Python/R skills, and hands-on ML

Qualifications

• Ph.D. or MSc in a quantitative field (Bioinformatics/Computational Biology, CS, Stats).
• 5+ years of professional bioinformatics experience with ML.
• Proficiency in Python or R and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Extensive genomic data analysis experience (NGS processing, variant calling, expression analysis).
• Ability to work independently and manage remote projects; strong communication skills.

Responsabilités

• Design and implement ML algorithms and statistical models for large-scale biological data.
• Build and maintain scalable bioinformatics pipelines for omics datasets.
• Collaborate remotely with researchers to translate findings into insights.
• Contribute to experimental design and data collection strategies for ML use.
• Communicate complex findings clearly to technical and non-technical audiences.
• Stay updated on advances in bioinformatics and computational biology.

Connaissances

Python

R

Machine Learning

Genomic data analysis

Formation

PhD or MSc in Bioinformatics/Computational Biology

Outils

TensorFlow

PyTorch

Scikit-learn

Description du poste

About the Role

Our client is seeking a highly accomplished Senior Bioinformatician with expertise in Machine Learning to join their fully remote research team. This pivotal role will focus on developing and applying advanced computational and statistical methods to complex biological datasets, particularly in the areas of genomics and proteomics, to accelerate discovery. You will play a key part in building predictive models, designing analytical pipelines, and collaborating with a geographically dispersed team of biologists, chemists, and data scientists. The ideal candidate is a self-motivated, experienced professional who thrives in a remote work environment, possesses a strong understanding of biological principles, and has a proven track record of leveraging machine learning to solve challenging scientific problems.

Key Responsibilities

• Design, develop, and implement sophisticated machine learning algorithms and statistical models for the analysis of large-scale biological data.
• Build and maintain robust, scalable bioinformatics pipelines for processing and interpreting genomic, proteomic, and other omics datasets.
• Collaborate remotely with biologists, geneticists, and other researchers to define research questions and translate findings into actionable biological insights.
• Contribute to the design of experiments and data collection strategies to maximize the utility of generated data for ML applications.
• Communicate complex analytical findings clearly and effectively to both technical and non-technical audiences.
• Stay current with the latest advancements in bioinformatics, machine learning, computational biology, and relevant scientific domains.

Requirements

• Ph.D. or M.Sc. in Bioinformatics, Computer Science, Statistics, Computational Biology, or a related quantitative field.
• 5+ years of professional experience in bioinformatics, with a strong emphasis on applying machine learning techniques.
• Demonstrated proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Extensive experience with genomic data analysis (e.g., NGS data processing, variant calling, gene expression analysis).
• Proven ability to work independently and manage projects effectively in a remote setting.
• Excellent communication and collaboration skills, essential for distributed team dynamics.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Generous home office stipend and professional development budget.
• Flexible working hours and the ability to work from anywhere within your time zone.
• Opportunity to contribute to groundbreaking research in a remote-first culture.