At a Glance
- Tasks: Design innovative deep learning architectures for genome and -omics data.
- Company: Join Deep Genomics, a leader in AI-driven genetic medicine.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborate with experts in bioinformatics and drug development.
- Why this job: Make a real impact in drug discovery using cutting-edge AI technology.
- Qualifications: Strong machine learning research skills and knowledge of genome biology.
The predicted salary is between 135000 - 165000 $ per year.
The role is about designing new deep learning architectures and pre-training methods for models that learn from genome and other -omics data at large scale. A strong candidate has deep machine learning research skill, a solid grasp of genome biology, and the independence to set direction instead of just applying standard tools.
How it fits the AI era: Biological foundation models are a direct example of AI changing how medicines are found, since they can learn patterns in genetic data that manual methods struggle to see. Much of the model building and experimentation is becoming more automated and faster. What stays human is choosing which biological questions matter, judging whether a result is meaningful, and tying model output back to real drug discovery decisions.
How it builds AI experience: The work itself gives hands-on experience building large pre-trained models on RNA and genome data, which is a rare and valuable area. To get ready, someone could train or fine-tune sequence models on public genomics datasets and write up what the models do and do not learn. Working alongside bioinformatics and drug development colleagues would also build skill in turning model results into practical decisions.
Worth showing:
- Genomics or -omics data modeling
- Published research or open projects
- Linking ML results to biology
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Deep Genomics: Deep Genomics develops biological foundation models and artificial intelligence architectures to discover and design genetic medicines.
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