Roche
Roche
Roche — фармацевтикалық зерттеулер мен әзірлемелерді диагностикалық тестілеу және цифрлық денсаулық сақтау салаларымен ұштастыратын жаһандық денсаулық сақтау компаниясы. Оның қызметі ерте анықтау, нысаналы емдеу және жасанды интеллектке негізделген құралдарды қоса алғанда, ғылымға сүйенген инновациялар арқылы пациенттердің ем нәтижелерін жақсартуға бағытталған. Компания әлемнің түкпір-түкпіріндегі денсаулық сақтау жүйелерімен, зерттеу серіктестерімен және басқа да мүдделі тараптармен жұмыс істей отырып, қатерлі ісік пен неврологиялық аурулар сияқты күрделі ауруларға арналған шешімдер әзірлейді.

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.

Сипаттама

  • 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.

Талаптар

  • 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.

Артықшылықтар

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

Ұқсас жұмыс орындары

Correlation One

Director of Client Partnerships

Correlation One
51 – 200 Қызметкерлер
H1B визасының демеушісі

Lead enterprise client relationships and growth at Correlation One, a global provider of AI and data workforce development. Drive renewals, account expansion, and measurable client outcomes.

Ашу
Humana

Senior Remote Data Informaticist, Pharmacy Analytics

Humana

Lead the development of governed Databricks data products and ETL pipelines for CenterWell Traditional Pharmacy analytics. Support dependable AI-assisted insights across healthcare, financial, marketing, and operational data.

Ашу
Protiviti

Senior Manager, AWS AI/ML Engineering

Protiviti

Lead AWS architecture and AI/ML solution delivery for Protiviti clients, advising technology leaders and guiding complex consulting engagements. Mentor cloud engineers and shape enterprise cloud strategies.

Ашу
Luminare Health

Remote Client Manager, Self-Funded Healthcare Benefits

Luminare Health

Manage and grow Luminare Health’s self-funded healthcare benefits accounts through client partnerships, renewals, presentations, and service delivery.

Ашу
Protiviti

Senior Manager, Agentic AI Platform (AgentCore)

Protiviti

Lead platform architecture across Amazon Bedrock AgentCore, Databricks, AWS CDK, and MCP. Build secure agentic AI solutions for Protiviti consulting clients.

Ашу
Comping

Machine Learning Engineer (Hybrid, Croatia)

Comping

Build and deploy predictive and time-series models for Comping’s digital solutions. Monitor production performance and model drift, retrain models, and work with data engineers on data preparation.

Ашу
Protiviti

Senior Manager, Agentic AI Platform (AgentCore)

Protiviti

Lead Protiviti’s consulting work to build secure enterprise AI agent platforms using AWS Bedrock, AgentCore, MCP, and Databricks. Direct architecture, implementation, teams, and client delivery.

Ашу
Protiviti

Protiviti Senior Manager, AWS AI/ML Engineer

Protiviti

Lead AWS AI and machine learning architecture and delivery for Protiviti’s technology consulting clients. Oversee complex engagements, mentor engineers, and advise executive stakeholders.

Ашу
Caraffi

Recruitment Coordinator

Caraffi

Coordinate candidate onboarding for recruitment clients, overseeing documentation, readiness, support, tracking, and reporting. This is a hybrid contract role based in Luton.

Ашу
Eon

Senior Accountant (Colorado, Remote)

Eon

Support Eon’s healthcare accounting operations across accounts payable, payroll, reconciliations, and monthly close. Help maintain financial controls and audit readiness while supporting treasury accounting.

Ашу