Senior Scientist, Real-World Evidence, Oncology

📋 Description

• Develop models transforming genomic and clinical data into insights.
• Build AI tools for literature discovery, variant interpretation, and trials.
• Create real-world data products for research partners.
• Collaborate with clinical, bioinformatics, and product teams.
• Advance real-world evidence to improve oncology treatment decisions.

🎯 Requirements

• PhD in biology, biomedical sciences, medicine, or related field.
• Deep understanding of genomic data, oncology biology, and clinical data.
• Experience applying AI/ML to biomedical or healthcare datasets.
• Strong programming and data science skills (Python and ML frameworks).
• Experience with real-world clinical datasets (EHR, registries, etc.).
• Ability to integrate multimodal biomedical datasets.

🎁 Benefits

• Team of rockstars helping everyone shine.
• Open culture with weekly Town Hall meetings.
• Impact patients on a large scale.
• Medical benefits options; premiums paid for employees.
• 16 weeks paid Family Bonding Leave.
• 4% company match in retirement plan.