Pattern Agentix
https://www.patternagentix.comAbout
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Jobs at Pattern Agentix
We are seeking a Bioinformatician with a strong background in proteomics, and proven experience with biological ontologies. The successful candidate will analyze outputs from pre-processed biological pipelines and support their integration into a biomedical knowledge graph.
Responsibilities:
Review and interpret proteomics datasets from existing pipelines
Leverage biological ontologies (e.g., GO, DO, HPO) to structure and standardize biological entities
Assist in designing and building components of a biological knowledge graph
Collaborate with computational biologists, data scientists, and software engineers
Document processes and contribute to reproducibility and data governance standards
Qualifications:
MSc or PhD in Bioinformatics, Computational Biology, or a related field
Strong knowledge of proteomics workflows
Experience working with biological ontologies and controlled vocabularies
Familiarity with RDF, OWL, or other semantic web technologies is a plus
Proficiency in Python, R, or similar data analysis tools
Excellent analytical and communication skills
Preferred Experience:
Previous work with knowledge graphs or biomedical data integration
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We are seeking a Bioinformatician with a strong background in genomics and transcriptomics, and proven experience with biological ontologies. The successful candidate will analyze outputs from pre-processed biological pipelines and support their integration into a biomedical knowledge graph.
Responsibilities:
Review and interpret genomics and transcriptomics datasets from existing pipelines
Leverage biological ontologies (e.g., GO, DO, HPO) to structure and standardize biological entities
Assist in designing and building components of a biological knowledge graph
Collaborate with computational biologists, data scientists, and software engineers
Document processes and contribute to reproducibility and data governance standards
Qualifications:
MSc or PhD in Bioinformatics, Computational Biology, or a related field
Strong knowledge of genomics and transcriptomics workflows
Experience working with biological ontologies and controlled vocabularies
Familiarity with RDF, OWL, or other semantic web technologies is a plus
Proficiency in Python, R, or similar data analysis tools
Excellent analytical and communication skills
Preferred Experience:
Previous work with knowledge graphs or biomedical data integration
Pattern Agentix is seeking a skilled engineer to design and develop a comprehensive knowledge graph that spans multiple biological domains—including molecular biology, biochemistry, biophysics, immunology, virology, pharmacology, and computational biology. The goal is to integrate heterogeneous datasets (ontologies, public databases, scientific literature) into a scalable, semantically rich graph that supports hypothesis generation and interdisciplinary research.
Responsibilities:
• Architecture & Design:
- Develop a scalable knowledge graph architecture using graph databases
- Design data models to capture entities (e.g., genes, proteins, chemical compounds, immune markers) and their relationships.
• Data Integration & Curation:
- Integrate data from domain-specific ontologies (e.g., Gene Ontology, ChEBI) and public repositories (e.g., UniProt, PDB).
- Build API connectors and automation pipelines for data ingestion.
- Leverage NLP tools to extract relationships from scientific literature with validation by domain experts.
• Collaboration & Documentation:
- Work closely with interdisciplinary teams and domain experts to ensure semantic accuracy.
- Document data models, integration methods, and curation guidelines.
Requirements:
• Proven experience in knowledge graph development and graph databases
• Strong programming skills (Python, Java, or similar) and experience with API development.
• Familiarity with semantic web technologies (RDF, ) and ontology management tools
• Solid background in bioinformatics, computational biology, or related disciplines.
• Demonstrated ability to work with heterogeneous data sources and interdisciplinary projects.
Contract
We are seeking part time or full time on contract and will compensate to local norms.
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The Story
Founded in 2011, Poshmark started with a simple yet powerful idea in Manish Chandra's garage. Along with co-founders Tracy Sun, Gautam Golwala, and Chetan Pungaliya, Chandra envisioned a platform that would revolutionize how people buy and sell fashion. The inspiration came from seeing the potential of the iPhone 4 to create meaningful connections in the shopping experience.
What They Do
Poshmark is not just another e-commerce platform – it's a social marketplace that brings together shopping and community. Think of it as a place where social media meets shopping, allowing users to buy, sell, and discover fashion, home goods, and accessories. With over 80 million users , the platform has become a go-to destination for both casual sellers and entrepreneurial individuals looking to build their own digital boutiques.
Growth & Achievements
- Started as a fashion-only platform and successfully expanded into home goods and electronics
- Raised over $160 million in venture funding
- Achieved a successful IPO in January 2021
- Recently launched innovative features like AI-powered visual search and livestream shopping
- Built a vibrant community of millions of buyers and sellers across the country
Today, under CEO Manish Chandra's leadership, Poshmark continues to innovate in the social commerce space, blending technology with community to create a unique shopping experience. The platform's success story is a testament to how combining social connections with commerce can create a powerful marketplace that resonates with modern consumers.
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