Remote Senior Bioinformatician - Machine Learning

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.