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Full-Time

Senior Computational Biologist at Stealth Life Science Startup

Confirmed live in the last 24 hours

a portfolio company of the AI2 Incubator

a portfolio company of the AI2 Incubator

11-50 employees

Incubates AI startups, focuses on foundational models

Fintech
AI & Machine Learning

Senior, Expert

Seattle, WA, USA

Category
Computational Biology
Biology & Biotech
Required Skills
Python
R
Data Analysis
Requirements
  • Fluency with data manipulation in R and/or Python
  • Experience with quantifying gene expression from bulk and single-cell RNA-seq data
  • Familiarity with containers (Docker, Singularity) and workflow managers
  • Knowledge of high-throughput sequencing and Illumina sequencing protocols
  • Excitement about generative AI
  • Experience managing large datasets in the cloud
  • Experience empathizing with life sciences customers
  • Open-minded and adaptable approach
  • Strong communication skills
Responsibilities
  • Develop and iterate roadmap for data and bioinformatics platform
  • Lead feature prioritization for bioinformatics product vision
  • Collaborate with ML experts to design generative AI models
  • Apply experiences and insights on challenges in genomic data analytics
  • Work closely with customers to ensure customer focus
a portfolio company of the AI2 Incubator

a portfolio company of the AI2 Incubator

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AI2 Incubator specializes in incubating AI-first startups, focusing on leveraging large-scale foundation models like GPT-3 and DALL-E for diverse tasks such as email prose generation and software code creation. This provides a fertile environment for innovation and a strong focus on advanced AI technologies, making it an ideal workplace for those looking to be at the forefront of AI advancement and application. Employees benefit from working on cutting-edge projects in an entity that is shaping the future of Task-Centric AI, FMOps, Domain-Specific FMs, and Generative/Creative AI domains.

Company Stage

Seed

Total Funding

$10M

Headquarters

Seattle, Washington

Founded

2016