Machine Learning Engineer (Remote)

Remote in South San Francisco, CA, US • Posted 14 hours ago • Updated 2 hours ago
Full Time
On-site
USD $55.00 - 73.00 per hour
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Health Care
  • Innovation
  • Pharmaceutics
  • Research and Development
  • Biology
  • Bioinformatics
  • Cloud Computing
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • FOCUS
  • Scalability
  • Collaboration
  • Systems Design
  • Python
  • NumPy
  • Pandas
  • PyTorch
  • Deep Learning
  • Machine Learning (ML)
  • Training
  • Visualization
  • Design Of Experiments
  • Genomics

Summary

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.

Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)

Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/Google Cloud Platform) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

INDBH
#LI-MG1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10522794
  • Position Id: ba228b38763dc42c386dfbba76eab8b0
  • Posted 14 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Menlo Park, California

Today

Full-time

USD 156,000.00 - 187,000.00 per year

Redwood City, California

Today

Full-time

Redwood City, California

Today

Full-time

USD 151,194.00 - 214,587.00 per year

Cupertino, California

Today

Full-time

Search all similar jobs