Data Scientist - Machine Learning in Genomics

About the Role

Our client is seeking a talented and experienced Data Scientist specializing in machine learning to drive their genomics research initiatives, operating in a fully remote capacity. This role is critical for unlocking insights from vast genomic datasets, enabling breakthroughs in personalized medicine and disease research. You will collaborate closely with a world-class team of bioinformaticians, geneticists, and clinicians to develop and deploy predictive models.

This position is ideal for an individual who thrives on complex challenges, possesses strong analytical skills, and is passionate about leveraging AI and ML to advance biological understanding, all from the comfort of their home office.

• Develop and implement advanced machine learning models for genomic data analysis, including variant calling, imputation, and phenotype prediction.
• Design and execute data mining strategies to identify patterns and correlations within large-scale genomic datasets.
• Collaborate with domain experts to translate biological questions into data science problems.
• Build and maintain robust data pipelines for processing and analyzing genomic information.
• Visualize complex data and communicate findings effectively to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in machine learning and genomics research.

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Bioinformatics, or a related quantitative field.
• Proven experience as a Data Scientist with a strong focus on machine learning applications in biology or genomics.
• Proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
• Experience working with large biological datasets, particularly genomic, transcriptomic, or proteomic data.
• Solid understanding of statistical methods and model evaluation techniques.
• Excellent problem-solving abilities and effective communication skills for remote collaboration.

• Highly competitive salary and potential for performance bonuses.
• Fully remote work environment offering significant flexibility.
• Access to substantial computational resources and cutting-edge technologies.
• Opportunities to publish research and present at leading conferences.
• A collaborative and intellectually stimulating work atmosphere focused on groundbreaking research.