[Hiring] Senior Data Scientist - AI & Genomics @DNAstack
Apr 03, 2025 - DNAstack is hiring a remote Senior Data Scientist - AI & Genomics. 💸 Salary: competitive salary, benefits, and stock options. 📍Location: Canada.
Role Description
We’re looking for an experienced Senior Genomics Data Scientist to join our nimble bioinformatics and AI team. This role is focused on the development and application of AI-driven data science techniques to support bioinformatics and tertiary workflows across a federated network. You’ll be responsible for designing, optimizing, and maintaining AI-powered analytical methods to extract insights from large-scale genomic data.
- Develop and apply AI-powered data science methods for analyzing large-scale genomic datasets in a federated environment.
- Design, train, and validate machine learning and deep learning models for genomics, including variant classification, functional annotation, and disease risk prediction.
- Collaborate with partners in academia and industry to create models that process and harmonize diverse genomics datasets.
- Apply large language models (LLMs) and generative AI for automated annotation, scientific literature mining, and variant impact prediction.
- Utilize federated learning frameworks to train AI models on distributed genomic data while ensuring privacy compliance.
- Support the development of data harmonization and feature engineering pipelines to enhance AI model performance across genomic datasets.
- Communicate complex AI-driven genomic analyses clearly to technical and non-technical stakeholders.
- Stay current with emerging AI and deep learning techniques for genomics, participating in open-source initiatives and advancing industry best practices.
Qualifications
- Master’s degree or PhD in data science, computational biology, bioinformatics, AI/ML, biostatistics, or a related field—or equivalent industry experience.
- 4+ years of hands-on experience applying data science and machine learning techniques to genomics datasets.
- Strong experience implementing AI-powered bioinformatics tools and applying machine learning techniques to genomic analysis.
- Proficiency with deep learning models for genomics such as AlphaFold, ESMFold, OpenFold, DeepSEA, and Enformer.
- Experience with LLMs for genomic applications, including automated annotation and text-based variant interpretation.
- Strong programming skills in Python (preferred), R, or Julia, with experience using AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn.
- Expertise in working with large-scale genomic datasets, including WGS, WES, RNA-seq, and methylation data.
- Familiarity with cloud computing (GCP, AWS, or Azure) or HPC environments.
- Experience leveraging federated learning and privacy-preserving AI for genomic data sharing.
- Strong interpersonal and communication skills—able to translate between technical, scientific, and clinical domains.
- Statistical and visualization skills for exploring -omics datasets.
Nice to Have
- Experience with clinical genomics, ACMG variant interpretation, or diagnostic AI pipelines.
- Experience developing workflows using WDL, CWL, Nextflow, or Snakemake.
- Familiarity with public genomics datasets (e.g., gnomAD, TCGA, ENCODE) and FAIR data principles.
- Hands-on experience with reinforcement learning and self-supervised learning for genomics applications.
- Experience applying zero-shot or few-shot learning for novel variant prediction and annotation.
- Background in causal inference and graph-based AI for biological networks.
Benefits
- Work on meaningful projects that help improve patient outcomes.
- Be part of a collaborative, mission-driven team in a growing startup.
- Flexible hours and remote-friendly culture.
- Competitive salary, benefits, and stock options.
- Opportunity to contribute to open science and global data-sharing efforts.
Let’s Talk
If this role sounds like a fit—and you’re excited to help shape the future of genomic medicine—we’d love to hear from you. Send us your resume and a short note about why you’re interested.
Experience Requirements
Experienced
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| 📍 | Be aware of the location restriction for this remote position: Canada |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
|
Salary
💸
competitive salary, benefits, and stock options
|
Remote
Location
Canada
|
|
Job Type
full-time
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Posted
Apr 03, 2025
|
| 📍 | Be aware of the location restriction for this remote position: Canada |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
