NVIDIA

Senior Applied Research Scientist, Multiscale Biology

NVIDIA

full-time

Posted on:

Location Type: Remote

Location: Remote • California, Massachusetts, New York • 🇺🇸 United States

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Salary

💰 $148,000 - $287,500 per year

Job Level

Senior

Tech Stack

Open Source

About the role

  • Conduct collaborative applied research in multiscale biology using deep learning and high-performance computing to identify critical biological challenges and experimental limitations.
  • Work across disciplines with biologists, chemists, and machine learning scientists to tackle complex biological problems.
  • Develop and optimize algorithms, software tools, and machine learning models for applications such as large scale genomics or proteomics analysis using NVIDIA's platform.
  • Disseminate work demonstrating the technological impact of new capabilities on advancing biological research via open source releases and publications.
  • Engage and collaborate with leaders with a point of view in industry and academia to promote NVIDIA's Digital Biology solutions.

Requirements

  • PhD or equivalent experience
  • 5+ years of experience in biology, computer science, data science, physics, chemistry, mathematics, or a related field.
  • Proven ability to build and manage relationships with the ecosystem of scientific partners in industry and academia.
  • Experience with scaled computing, such as high-performance computing, parallel programming, and GPU acceleration applied to omics data at scale.
  • Superb communication and collaboration skills, with the ability to work effectively in multi-functional teams.
  • Deep familiarity with experimental biology and assay design, coupled with strong computational, algorithmic, or software engineering skills.
  • A commitment to contribute to innovation and impact in digital biology and drug discovery.
Benefits
  • equity
  • benefits 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
deep learninghigh-performance computingalgorithmssoftware toolsmachine learning modelsparallel programmingGPU accelerationomics data analysisexperimental biologyassay design
Soft skills
communication skillscollaboration skillsrelationship managementteamworkinnovationimpact contribution
Certifications
PhD or equivalent experience
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