Machine Learning Engineer (Remote)
South San Francisco, CA, United States • Posted June 05, 2026
Job Type:
Full-time
Location:
South San Francisco, CA
Posted:
June 05, 2026
Category:
other-general
Application Deadline:
June 11, 2026
Role Description
**Machine Learning Engineer (Remote)**
Clinical
South San Francisco, California, US
+ Added - 30/04/2026
_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...
Clinical
South San Francisco, California, US
+ Added - 30/04/2026
_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...
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