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Roche
Roche
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Roche एक वैश्विक स्वास्थ्य सेवा कंपनी है, जो औषधि अनुसंधान और विकास को नैदानिक परीक्षण तथा डिजिटल स्वास्थ्य सेवाओं के साथ जोड़ती है। इसका कार्य शुरुआती पहचान, अधिक लक्षित उपचारों और विज्ञान-आधारित नवाचार, जिनमें कृत्रिम बुद्धिमत्ता से सक्षम उपकरण भी शामिल हैं, के माध्यम से रोगियों के बेहतर परिणामों पर केंद्रित है। कंपनी कैंसर और तंत्रिका संबंधी रोगों जैसी जटिल बीमारियों के लिए समाधान विकसित करती है तथा दुनिया भर में स्वास्थ्य प्रणालियों, अनुसंधान साझेदारों और अन्य हितधारकों के साथ काम करती है।
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कंपनी की नौकरियाँ

Senior Machine Learning Scientist, Synthesis Planning and Optimization

Develop machine learning models for synthesis-aware molecular design, planning, generation, and optimization. Build automated synthesis workflows supporting Roche’s AI-driven drug discovery research.

USसंयुक्त राज्यCAकैलिफ़ोर्नियाNYन्यूयॉर्क
$1,47,600 – $2,74,000 / वर्ष
ऑन-साइटपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीमशीन लर्निंग इंजीनियर
PythonPyTorch

विवरण

  • Advance machine learning methods for synthesis-aware molecular design, including retrosynthesis, synthesis planning, molecular generation, and search across synthesizable chemical spaces.
  • Combine proprietary reaction and biochemical data to create synthesis-aware models and workflows for hit discovery and optimization.
  • Develop reliable, scalable active-learning pipelines that connect with automated and high-throughput synthesis platforms.
  • Create batch synthesis-planning algorithms that improve chemical-space coverage, information gain, and experimental efficiency.
  • Contribute to scientific progress through publications, open-source projects, and conference presentations.
  • Partner with computational and experimental scientists at Roche and with external academic collaborators.
  • Develop machine learning approaches that generate synthesizable molecules and link generative design with automated synthesis.

आवश्यकताएँ

  • Advanced machine learning expertise grounded in linear algebra, probability, and optimization.
  • Practical experience with graph neural networks, sequence or language models, and reinforcement learning.
  • Working knowledge of chemistry concepts used in synthesis planning and molecular optimization.
  • Experience handling small-molecule datasets and using cheminformatics tools such as RDKit or OpenEye.
  • Proficiency in Python.
  • Experience with contemporary machine learning frameworks, including PyTorch or JAX.
  • Background in scientific software development.
  • PhD or comparable research experience in machine learning, computational chemistry, chemical engineering, physics, statistics, or a related quantitative discipline.
  • Up to two years of industry research experience for Scientist level, or more than two years for Senior Scientist level.
  • Evidence of scientific excellence through journal or conference publications, or a public portfolio of relevant work.
  • Preferred: Experience developing retrosynthesis or synthesis-planning models.
  • Preferred: Experience with automated or high-throughput synthesis.

लाभ

  • A discretionary annual bonus may be offered based on individual and Company performance.
  • Benefits are described at the provided link.

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