Data Scientist - Machine Learning in Genomics

Placements24; Kimberley; Hybrid; CAD 141,000 - 212,000; Full time

Benefits offered by this job

Highly competitive salary

Fully remote work environment

Access to substantial compute ресурes

Opportunities to publish research

Job summary

Placements24 is seeking a talented Data Scientist specializing in machine learning to drive genomics research initiatives, operating fully remotely. This role collaborates with bioinformaticians, geneticists, and clinicians to develop predictive models from large genomic datasets.

You will build and deploy ML pipelines for variant calling, imputation, and phenotype prediction while staying current with AI and genomics advances.

Qualifications

• PhD or Master's in a quantitative field (data science, CS, bioinformatics).
• Proven ML experience in biology or genomics contexts.
• Strong programming in Python or R and ML libraries.
• Experience with large genomic datasets and statistical methods.

Responsibilities

• Develop and implement ML models for genomic data analysis.
• Design data mining strategies for large-scale datasets.
• Collaborate with domain experts to translate questions into data problems.
• Build robust data pipelines for processing genomic information.
• Visualize data and communicate findings to technical and non-technical audiences.
• Stay updated on ML and genomics advances.

Skills

Genomics

Machine learning

Data science

Remote collaboration

Education

PhD or Master's in Data Science/CS/Bioinformatics

Tools

TensorFlow

PyTorch

scikit-learn

Job description

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.

Key Responsibilities

• 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.

Requirements

• 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., TensorFlow, 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.

Benefits

• 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.