Responsibilities

1. Data Analysis & Pipeline Development

Design and implement bioinformatics pipelines to analyze biomedical, multi-omics, and structural biology datasets.
Develop graph-based data integration methods for hypothesis generation and causal reasoning.
Optimize data extraction and transformation pipelines for AI-driven research applications.

2. Structural Biology & AlphaFold Integration

Leverage AlphaFold and related protein structure prediction tools to analyze protein-ligand interactions in longevity and psychedelic research.
Integrate predicted protein structures into BeeARD’s knowledge graph for AI-driven hypothesis generation.
Explore applications of molecular docking and drug discovery within BeeARD’s multi-agent system.

3. Research & Collaboration

Work closely with AI engineers, data scientists, and domain experts to integrate bioinformatics into BeeARD’s multi-agent system.
Stay updated with advancements in bioinformatics, structural biology, knowledge graphs, and AI-driven biomedical research, applying insights to improve BeeARD’s platform.

4. Algorithm & Model Optimization

Develop and refine machine learning models for biomedical text mining, knowledge extraction, and hypothesis generation.
Optimize entity linking and graph traversal techniques for AI-driven scientific discovery.
Ensure solutions are scalable and efficient for real-time analysis and inference.

5. Documentation & Knowledge Sharing

Author clear documentation for internal pipelines, models, and workflows.
Present findings and methodologies to both technical and non-technical stakeholders, contributing to the broader AI and scientific research communities.

6. Community & Decentralized Research Engagement

Engage with BeeARD’s decentralized research community, contributing to discussions on Discord and Twitter.
Represent BeeARD at scientific conferences and industry events, building partnerships with research institutions and thought leaders.
Contribute to open-source bioinformatics tools and DeSci initiatives, positioning BeeARD as a leader in AI-driven scientific research.

Requirements

Bachelor’s degree (or higher) in Bioinformatics, Computational Biology, or a related field.
3+ years of experience in bioinformatics, computational biology, or a similar role.
Experience with biomedical knowledge graphs, ontology mapping, and AI-driven research discovery.
Proficiency in scripting languages (e.g., Python, R) and bioinformatics tools (e.g., BLAST, Bowtie, GATK, Biopython).
Demonstrated success in building and maintaining bioinformatics pipelines for large datasets.
Strong understanding of statistics, machine learning, and causal inference in biological research.
Ability to work in multi-agent AI systems and integrate bioinformatics solutions into an autonomous research pipeline.
Excellent problem-solving and communication skills, with a track record of collaborative, interdisciplinary work.

Experience in a startup or other fast-paced, high-growth environment.
Familiarity with cloud computing (e.g., AWS, GCP) and containerization (e.g., Docker, Kubernetes) for scalable bioinformatics workflows.
Experience contributing to open-source projects or scientific collaborations.
Knowledge of AI/ML frameworks (TensorFlow, PyTorch) for advanced predictive modeling.
Background in science communication or public outreach.

Competitive Salary & Equity Package
A pivotal role in integrating bioinformatics into BeeARD’s AI-driven ecosystem.
Opportunities for rapid personal and professional growth in a mission-driven startup.
Collaborative Culture! Join a passionate team that values curiosity, shared knowledge, and mission-driven progress.