Machine Learning Engineer (Remote)

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 modelsProcess and analyze genomic and transcriptomic data using bioinformatics pipelinesPrepare high-quality, normalized biological datasets for downstream analysisTrain large-scale models using frameworks like PyTorch Lightning and Hugging FaceDevelop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibilityCollaborate with cross-functional teams to uncover biomarkers and therapeutic targetsProvide technical input and guidance on ML system design and implementationQualifications: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 StatesINDBH