Bioinformatician proteomics at Pattern Agentix · Remote only · 1 - 3 years · ₹4L - ₹8L / yr · Raised funding · Remote only · Posted 19 Jun 2025
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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Shubham Vishwakarma
Full Stack Developer - Averlon
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Roles & Responsibilities
- Design and build ontologies (knowledge models) that organize Dell's business information in a structured way.
- Connect data from different systems so that all information is consistent and easy to understand.
- Create relationships between products, customers, services, and other business data to improve search and AI capabilities.
- Work closely with business teams to understand their requirements and convert them into structured knowledge models.
- Ensure data is organized according to industry standards such as RDF, OWL, and SPARQL.
- Improve enterprise search, analytics, and AI-driven applications by maintaining accurate knowledge structures.
- Collaborate with developers, data engineers, AI teams, and business stakeholders on knowledge management projects.
- Manage and update ontologies as new products, services, and business information are introduced.
- Support knowledge graph and metadata initiatives to improve data quality and consistency.
- Use graph databases and ontology management tools (where applicable) to maintain semantic data models.
Ideal Candidate
- Strong Ontologist Profile with deep semantic (RDF) ontology experience in complex enterprise environments
- Mandatory (Experience 1) – Must have 7+ years of total experience, with 5+ years in semantic (RDF) ontology building/structuring for a complex/large enterprises
- Mandatory (Experience 2) – Must have a strong understanding of content and information management, data structures, and semantic metadata extraction
- Mandatory (Tech skill 1) – Must have strong experience with graph databases, taxonomies, and NLP strategies for optimization
- Mandatory (Tech skill 2) – Must have strong working experience of ontology/TOMS tools such as PoolParty (Semantic Web), TopQuadrant EDG, or GraphDB (Ontotext)
- Mandatory (Tech skill 3) – Must be familiar with W3C industry standards, including SPARQL and OWL.
- Mandatory (Communication) – Must be fluent in English, with strong stakeholder management skills to operate across a complex, multi-team environment.many stakeholders.
- Mandatory (Note) – Must be available to work during US time zones for at least 4 hours per day
- Preferred (Education) – Must have a degree in Computer Science or Library Science, preferably with a minor / concentration / certificate in Information Management or Library Automation
- Preferred (Tech skill 3) – Understanding of content development and search/retrieval tools.
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Full Stack Developer - Averlon