Senior Computational Biologist

Parallel Bio
Remote
Remote

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
High
Decision Impact
Company
Role Level
Individual Contributor

What success looks like

  • Develop and stress-test analytical approaches that turn complex, noisy biological measurements into decision-grade conclusions
  • Prototype methods and reference implementations
  • Own analysis for immune phenotyping across various assays
  • Establish statistical best practices for exploratory vs. confirmatory analysis
Typical background
PhD in Computational Biology, Bioinformatics, or related fieldExperience in AI and machine learning

Transferable backgrounds

Skills & requirements

Required

Machine LearningStatisticsPythonRData ModelingData VisualizationCloud Platforms

Preferred

Deep LearningNatural Language ProcessingComputer VisionBioinformaticsBig Data Technologies

Stack & domain

AiMachine learningImmunologyStatisticsModelingFlow cytometryCytofSingle-cell rna-seqCite-seqMultiplex functional readoutsTranscriptomicProteomicData engineeringPythonSqlData warehousingCloud/cluster computingBiotechnologyHealthcareComputational biology

About the role

At Parallel Bio, we are leveraging the human immune system to unlock safer, more effective drugs. We believe immunotherapies are the future of medicine, but their discovery is hindered by outdated models that fail to capture the complexity of the human immune system.

Our platform overcomes these challenges by combining best-in-class human immune organoids with massive scale and advanced computational methods, including AI and machine learning. This allows us to generate unprecedented, population-scale insights into human health and disease.

We can rapidly discover new drugs that we know…

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