Senior Computational Biologist - Machine Learning

Placements24; Kimberley; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Equity options

Fully remote

Competitive salary

Job summary

Placements24 seeks a Senior Computational Biologist with a strong focus on machine learning to lead the analysis of omics data in a fully remote role. The candidate will develop and deploy ML models to uncover biological insights and support drug discovery efforts.

The ideal candidate holds a PhD in a quantitative field with 5+ years of post-doctoral or industry ML experience in biology, and is proficient in Python or R and ML libraries.

Qualifications

• PhD required with a minimum of 5 years post-doctoral research or industry experience applying machine learning to biological data.

Responsibilities

• Develop, implement, and optimize machine learning models for biological data analysis (genomics, transcriptomics, proteomics).
• Design and execute computational experiments to identify patterns, predict outcomes, and uncover novel biological insights.
• Collaborate with biologists, chemists, and data scientists to translate research questions into computational approaches.
• Process, clean, and analyze large, complex biological datasets from various sources.
• Stay abreast of ML, AI, and computational biology advancements.
• Mentor junior computational biologists and contribute to scientific strategy.

Skills

Python

R

TensorFlow

PyTorch

Scikit-learn

Cloud computing

Education

PhD in Computational Biology, Computer Science, Bioinformatics, Statistics, or a related quantitative field

Tools

AWS

GCP

Azure

Job description

About the Role

Our client, a rapidly growing bioinformatics startup at the forefront of applying artificial intelligence to biological data, is seeking a Senior Computational Biologist with a strong focus on Machine Learning. This fully remote role offers an exciting opportunity to leverage advanced computational techniques to unlock insights from complex biological datasets, driving innovation in drug discovery and personalized medicine. You will be instrumental in developing and implementing machine learning models, analyzing large-scale omics data, and collaborating with a diverse team of scientists and engineers. This position requires a deep understanding of both biology and computer science, with a proven track record in applying ML to biological problems. Join a dynamic, forward-thinking company committed to revolutionizing healthcare through data science.

Key Responsibilities

• Develop, implement, and optimize machine learning models for biological data analysis (e.g., genomics, transcriptomics, proteomics).
• Design and execute computational experiments to identify patterns, predict outcomes, and uncover novel biological insights.
• Collaborate with biologists, chemists, and data scientists to define research questions and translate them into computational approaches.
• Process, clean, and analyze large, complex biological datasets from various sources.
• Stay abreast of the latest advancements in machine learning, artificial intelligence, and computational biology.
• Contribute to the development of new algorithms and software tools for biological data analysis.
• Communicate findings effectively through presentations, reports, and publications.
• Mentor junior computational biologists and contribute to the team's scientific strategy.

Requirements

• PhD in Computational Biology, Computer Science, Bioinformatics, Statistics, or a related quantitative field.
• A minimum of 5 years of post-doctoral research or industry experience applying machine learning to biological data.
• Strong programming skills in Python or R, with extensive experience using ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proven experience with various machine learning algorithms (e.g., deep learning, random forests, SVMs) and statistical modeling techniques.
• Solid understanding of molecular biology, genomics, or other relevant biological domains.
• Experience with large-scale data processing and cloud computing platforms (AWS, GCP, Azure) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, essential for remote teamwork.

Benefits

• Our client offers a competitive salary, equity options, and a comprehensive benefits package.
• Enjoy the flexibility and autonomy of a fully remote role, working on cutting-edge projects with a talented and passionate team.
• This is an excellent opportunity to shape the future of computational biology and make a significant impact on healthcare.