What are the responsibilities and job description for the Machine Learning/Bioinformatics Engineer (Remote) position at Astrix?
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 Sept 30, 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
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 Sept 30, 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/GCP) 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
- 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
Salary : $55 - $73