Machine Learning Engineer – Clinical Trial Design

Astrix; San Francisco (CA); Remote; Full time

Job summary

A leading company in the life sciences industry is seeking a Machine Learning Engineer specializing in clinical trial design to join their esteemed research team. The role involves advanced machine learning techniques in drug development, with opportunities for publishing in top-tier journals, while significantly impacting healthcare. This exciting position allows for remote work with required timing during PST hours or the option to work onsite in South San Francisco.

Benefits

401(k)

Vision insurance

Medical insurance

Qualifications

• Advanced machine learning techniques experience required.
• Educational qualifications must include a master's level or higher in relevant disciplines.

Responsibilities

• Developing deep learning algorithms for medical image analysis.
• Collaborating with a multidisciplinary research team.
• Analyzing large-scale biological and clinical datasets.

Skills

Python

Deep Learning

Collaboration

Analytical Thinking

Education

M.S. or higher in Computer Science, Machine Learning, Statistics, Mathematics, Physics, Bioinformatics or related

Tools

JAX

PyTorch

TensorFlow

Job description

Machine Learning Engineer – Clinical Trial Design

Machine Learning Engineer – Clinical Trial Design

This range is provided by Astrix. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$45.00/hr - $60.00/hr

Direct message the job poster from Astrix

Lead Scientific Recruiter at Astrix | Connecting top talent with premier life science and engineering companies.

We are looking for a talented and driven Machine Learning Engineer to join a high-impact research team focused on advancing machine learning methods for drug development and clinical trial design! This is a unique opportunity to work on highly visible projects that influence real-world healthcare outcomes. You’ll have the chance to publish in leading journals and conferences while contributing to applied science with tangible clinical impact.

Position: Machine Learning Engineer – Clinical Trial Design

Job Type: Contract

Location: Remote (must be available during PST hours) OR onsite preferred (South San Francisco, CA)

About the Role:

We are looking for a talented and driven Machine Learning Engineer to join a high-impact research team focused on advancing machine learning methods for drug development and clinical trial design. This initiative, part of a larger computational sciences organization, explores state-of-the-art techniques such as multimodal generative modeling, representation learning, and reinforcement learning.

Responsibilities:

• Develop and implement deep learning algorithms for medical image analysis, including semantic segmentation and object detection.
• Collaborate with a multidisciplinary team of machine learning researchers, imaging scientists, clinical experts, and decision-makers to integrate AI-driven insights into trial design and disease understanding.
• Analyze large-scale biological and clinical datasets to extract actionable insights for therapeutic development.
• Stay current with cutting-edge developments in machine learning and its healthcare applications.
• Contribute to peer-reviewed publications and conference presentations.

Qualifications:

• Education: M.S. or higher in Computer Science, Machine Learning, Statistics, Mathematics, Physics, Bioinformatics, Bioengineering, or a related quantitative discipline.
• Experience: Demonstrated success in developing and applying advanced machine learning techniques in academic or industry environments.

Technical Skills:

• Strong programming proficiency in Python
• Experience with modern ML frameworks such as JAX, PyTorch, and TensorFlow
• Familiarity with MLOps best practices, including version control, HPC environments, and experiment tracking
• Ability to develop and deploy robust machine learning pipelines for scientific workflows
• Soft Skills: Excellent communication, collaboration, and analytical thinking.

Preferred Qualifications:

• Experience with medical imaging modalities (e.g., OCT, CFP, MRI, CT, X-ray, PET)
• Knowledge of models such as Unet, DeepLab, Vision Transformers (ViT), SAM, and Detectron
• Familiarity with experiment tracking tools like Weights & Biases (W&B)

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Contract

Job function

• Job function

  Science

• Industries

  IT Services and IT Consulting

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Inferred from the description for this job

401(k)

Vision insurance

Medical insurance

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