Senior Researcher - Machine Learning for Life Sciences - Microsoft Research | Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
WA
Salary
$119,800–$234,700 / yr
Posted
117 days ago
Closes
Aug 5, 2026

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Competitive pay

How this pay compares to similar roles

Similar $194k
This role $177k
$106k most similar roles pay here $248k

This role pays less than 51% of similar roles. Most pay $162,000–$225,013 — the shaded band above. At the midpoint, this role pays about $177k versus about $194k for comparable roles.

Based on 240 similar postings.

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About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 571 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 522 roles with salary data.

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TL;DR · Senior Researcher - Machine Learning for Life Sciences - Microsoft Research | Microsoft Careers

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As a Senior Researcher - Machine Learning for Life Sciences at Health Futures within Microsoft Research, you will join a global and diverse team dedicated to advancing the intersection of AI and healthcare. Your primary responsibilities include designing and implementing novel methodologies for scientific discovery through artificial intelligence, focusing on areas such as post-training optimization, interpretability, and experimental design. You will also develop techniques for benchmarking deep learning models in biological data domains and optimize inference-time interactions with these models. Ideal candidates possess a doctorate or equivalent experience and have a strong background in creating generative AI systems for life sciences applications, along with expertise in bioinformatics tools and software innovation. This role requires proficiency in machine learning frameworks like TensorFlow or PyTorch, programming languages such as Python, and the ability to communicate effectively within an interdisciplinary team.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD GitHub PostgreSQL AWS Azure Google Cloud Platform Bioinformatics Genomics Transcriptomics Proteomics Microscopy Deep Learning Machine Learning NLP Computer Vision Scalability Performance Optimization Interpretability Experiment Design

What you'll do

  • Design and implement novel methodologies for scientific discovery using artificial intelligence.
  • Develop techniques for benchmarking deep learning models in specific biological data domains.
  • Optimize inference-time interactions with deep learning models for efficiency and accuracy.
  • Create approaches to enhance the interpretability of AI models used in life sciences research.
  • Innovate software systems that leverage generative AI to solve real-world problems in biomedicine.

What we're looking for

  • Doctorate in relevant field or equivalent experience (Master's with 3+ years or Bachelor's with 4+ years related research).
  • Deep expertise in AI and ML techniques, specifically applied to life sciences.
  • Proven track record in bioinformatic algorithm development and application of advanced methods on biological data.
  • Experience innovating software and systems that leverage generative AI for real-world life science problems.
  • Strong background in creating robust technical research artifacts within interdisciplinary teams.
  • History of publishing academic papers as a lead author or essential contributor.

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