2 часа назад
Computational Biologist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Computational Biologist (AI): Building data and evaluation frameworks for biological security models and precision biologics, with an accent on sequence-based bioinformatics, machine learning, and wet-lab validation. Focus on processing large-scale biological datasets, designing rigorous model evaluations, and collaborating on the training and deployment of AI systems for biological threats.
Location: On-site in New York or San Francisco, United States
Company
is an applied biological intelligence company developing software and biological AI systems for federal and commercial use.
What you will do
- Contribute to the company-wide research and development roadmap.
- Identify large-scale biological datasets and build workflows and infrastructure for processing them.
- Design and apply evaluation frameworks for biological security models and real-world use cases.
- Plan computational biology experiments and design wet-lab experiments to assess precision biologics.
- Collaborate with AI and software engineers to train models and deploy tested data-analysis tools.
- Communicate findings internally and externally while working with customers and research collaborators.
Requirements
- Experience analyzing biological datasets, especially genomic, protein, or metagenomic sequence data.
- High proficiency in Python and its scientific package ecosystem.
- Experience with bioinformatics sequence-analysis tools, biological databases, and cloud platforms such as AWS.
- Ability to design, implement, and evaluate computational biology methods and machine-learning models.
- Experience collaborating with experimental biologists to plan and interpret wet-lab experiments.
- Experience with ML-centric bioinformatics and structure-based tools such as AlphaFold, plus contributions to open-source projects.
Culture & Benefits
- Full-time position within the Engineering department.
- Mission-driven work focused on biological security and precision biologics.
- Collaboration with software engineers and applied biological ML researchers from Palantir, MIT's Broad Institute, and DeepMind.
- Continuous learning across technical and non-technical areas.
Hiring process
- Two technical interviews.
- Final on-site interview involving a small project, technical discussion, and collaboration with the wider team.
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