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PharmaEssentia U.S.A.

Scientist II, Computational Biology, AI & Multimodal Target Discovery

PharmaEssentia U.S.A.

$110K–125K/yrBedford, Massachusetts, United StatesFull-time0-2 yearsOn-site
Posted 1 day ago· America/New_York· Bedford, Massachusetts, United States

✨ Why This Is a Good Vibe Coding Job

This is a rare biotech role that explicitly endorses 'vibe coding' as a valid development methodology within its computational biology team. You will spend your time building agentic systems that orchestrate code execution and data analysis, making it an ideal environment for those who excel at high-level AI orchestration.

The Role

As a Computational Biologist at PharmaEssentia's Innovation Research Center, you will spearhead the discovery of new therapeutic targets by blending multi-omics analysis with advanced AI. This isn't just a data crunching role; you'll be designing the computational architecture that connects disease evidence to actionable drug hypotheses. You will work on predicting cellular responses and mapping protein structures to guide the next generation of hematology and oncology treatments.

AI & Vibe Coding Integration

This position is tailor-made for the modern 'vibe coder.' The team encourages the use of AI-assisted development tools and is actively building AI agents to automate scientific workflows, literature retrieval, and code execution. You will:

  • Design LLM-based systems for RAG and tool calling.
  • Build scalable, reusable frameworks for data harmonization.
  • Use Python and ML/DL to create virtual-cell models.

Innovation & Growth

Joining a startup-mode research center with the full backing of a global biopharma parent company offers a unique career trajectory. You will have the opportunity to shape the computational standards from the ground up, moving beyond traditional bioinformatics into a world where agentic AI accelerates every stage of drug discovery.

Education

  • postgraduate degree

Skills & Tags

Computational BiologyMulti-omics AnalysisAI Agent DevelopmentStructural BiologyPythonMachine LearningDeep LearningSingle-cell TranscriptomicsDrug DiscoveryTranslational ResearchBioinformaticsPredictive ModelingCausal InferenceMolecular DynamicsData HarmonizationReproducible Research

Keywords

Computational BiologyMulti-omicsAIDrug DiscoveryBioinformaticsPythonMachine LearningDeep LearningSingle-cell TranscriptomicsStructural BiologyTranslational ScienceOncologyHematologyImmunologyMolecular DynamicsCRISPRPerturb-seqKnowledge GraphData HarmonizationReproducibilityCloud ComputingHigh-performance ComputingProtein Structure PredictionBiologicsClinical DataFunctional GenomicsCausal InferenceAgentic AIFoundation ModelsVersion Control

Categories

Science & ResearchData & AnalyticsTechnologyHealthcareSoftware

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Source: jazzhr

Last reviewed: Sep 30, 2026. How we source and review jobs.