Human Data Manager

About micro1

micro1 is an AI platform dedicated to human intelligence, building models that rigorously vet PhDs and scale human data training for frontier LLMs. Their agent, Zara, autonomously sources and evaluates researchers and data trainers, powering post-training (RLHF, evals, red-teaming) for top AI labs. They are a trusted partner for nearly every major AI lab, ensuring models are safe, aligned, and performant.

Job Summary: Human Data Manager

micro1 is seeking a detail-oriented and analytical Human Data Manager with a medical background. This full-time remote role is designed for recent MD graduates, early-career medical professionals, or experienced doctors looking to apply clinical knowledge in an operational and data-driven environment. The successful candidate will manage critical human data workflows, define KPIs, and drive operational efficiencies through data insights, bridging clinical understanding with operational decision-making.

Key Responsibilities

• Lead the development, implementation, and optimization of human data workflows, ensuring accuracy, integrity, and efficiency.
• Establish and monitor Key Performance Indicators (KPIs) to track performance, operational health, and process improvements.
• Analyze large and complex datasets to identify trends, generate insights, and support data-driven decisions.
• Collaborate with cross-functional teams, including operations, clinical experts, and leadership, to align strategies and drive continuous improvement.
• Develop data reporting frameworks that provide actionable insights to enhance both clinical and operational processes.
• Oversee data quality controls, resolving discrepancies and ensuring compliance with established standards.
• Support operational strategy by identifying process gaps, recommending improvements, and helping teams execute effective solutions.
• Mentor and guide team members on data-driven best practices and efficient workflow management.

Required Skills and Qualifications

• MD degree or relevant medical background (recent graduates, early-career professionals, and experienced doctors are all encouraged to apply).
• Demonstrated experience or strong interest in data management, process optimization, and KPI development.
• Ability to analyze complex datasets and translate findings into actionable recommendations.
• Exceptional organizational and operational skills, with a focus on driving efficiencies.
• Excellent communication skills, capable of translating data insights into clear, actionable strategies for both clinical and non-clinical stakeholders.
• Comfortable working in a remote, cross-functional, and fast-paced environment.

Preferred Qualifications

• Operations Management experience, especially in healthcare, medical research, or large-scale data-driven environments.
• Exposure to AI applications in healthcare, such as predictive analytics, diagnostic support, or automation.
• Familiarity with data analysis tools and methodologies for KPI tracking and performance measurement.

Key skills/competency

• Data Management
• Process Optimization
• KPI Development
• Data Analysis
• Clinical Knowledge
• Operational Efficiency
• Cross-functional Collaboration
• Healthcare Operations
• AI in Healthcare
• Workflow Management