Principal Machine Learning Scientist, Frontier Research, AI for Drug Discovery (AIDD) at Roche | BS, CH | Rezi

Principal Machine Learning Scientist, Frontier Research, AI for Drug Discovery (AIDD) at Roche

Principal Machine Learning Scientist, Frontier Research, AI for Drug Discovery (AIDD)

Roche · BS, CH

4 weeks ago

Principal Machine Learning Scientist, Frontier Research, AI for Drug Discovery (AIDD)

Roche · BS, CH

a month ago
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About the Role

The new Computational Sciences Center of Excellence (CoE) aims to leverage data and AI to assist scientists in delivering innovative medicines. Frontier Research focuses on foundational machine learning research and developing new algorithmic frameworks, valuing open science and academic engagement. This role involves developing theoretical frameworks and algorithms for sampling and generative modeling, contributing to publications, and collaborating on research that advances the state of the art in machine learning.

Responsibilities

  • Develop theoretical frameworks and algorithms for sampling and generative modeling.
  • Contribute to publications and present results at internal and external scientific conferences.
  • Collaborate and execute on research that pushes forward the state of the art in machine learning.
  • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
  • Work with a large and globally distributed team.

Requirements

  • PhD in Mathematics, Physics, Computer Science, Statistics, Machine Learning, or related disciplines with 2-7 years of relevant work experience.
  • Strong publication record in generative modeling, with publications in academic journals like JMLR and at peer-reviewed ML conferences (e.g., NeurIPS, ICML, ICLR, and COLT).
  • Strong communication and collaboration skills.
  • Published work with theoretical contributions.

Skills

  • Machine Learning
  • Generative Modeling
  • Sampling
  • Theoretical Frameworks
  • Algorithm Development
  • Data Science
  • AI

Location

  • South San Francisco
  • New York City
  • Basel

Work Type

  • Onsite

Experience Level

  • 2-7 years of relevant work experience

Education Level

  • PhD in Mathematics, Physics, Computer Science, Statistics, Machine Learning, or related disciplines

Salary/Compensations

  • California: $201,300 - $373,800
  • New York City: $192,500 - $357,500

Benefits

  • Discretionary annual bonus may be available based on individual and Company performance.
  • Qualifies for benefits detailed at the provided link.

About the Company

  • Roche is driven by a mission to innovate and advance science for a healthier future, ensuring access to healthcare.
  • Advances in AI, data, and computational sciences are transforming drug discovery and development.
  • The Computational Sciences Center of Excellence (CoE) is a strategic, unified group aiming to harness the power of data and AI.
  • Genentech is an equal opportunity employer.

Equal Opportunity

  • Genentech is an equal opportunity employer.
  • It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence.
  • The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
  • If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.