5+ Bioinformatics Jobs in India

What will you do?

● Design, develop and maintain various Bioinformatics solutions for analyzing and managing Biological data as per our best practices and quality standards.

● Collaborate with Product Management and Software Engineers, to build bioinformatics solutions.

● Produce high quality and detailed documentation for all projects.

● Provide consultation and technical solutions to cross functional bioinformatics projects.

● Identify and/or conceive novel approaches to better and more efficiently analyze client and public datasets.

● Participate in defining the high-level application architecture for future roadmap requirements and features.

● Coach other team members by sharing domain and technical knowledge and code reviews.

● Participate in activities such as hiring and onboarding.

● Work with cross-functional teams to ensure quality throughout the bioinformatics software and analytical pipelines development lifecycle.

● Ensure compliance with our SDLC process during product development.

● Stay up-to-date on technology to deliver quality at each phase of the product life-cycle. You take leadership in evangelizing technical excellence within the team.

What do you bring to the table?

● Ph.D. degree with 3-5+ years of postdoc or industrial experience or Masters Degree with 5-8+ years of industrial experience in Bioinformatics, Computer Science, Bioengineering, Computational Biology or related field

● Excellent programming skills in Python and Shell scripting

● Experience with Relational database such as PostgreSQL, mySQL or Oracle

● Experience with version control systems such as GitHub.

● Experience with Linux/UNIX/Mac OS X based systems

● Experience with high-performance Linux cluster and cloud computing (AWS is preferred).

● Deep understanding of analytical approaches and tools for genomic data analysis along with familiarity with genomic databases. Candidates with proven expertise in the analysis of NGS data generated on sequencing platforms such as Illumina, Oxford Nanopore, or Thermo will be prioritized.

● Experience with open source bioinformatics tools and publicly available variant databases.

● Ability to manage moderately complex projects and initiatives.

● Exceptionally strong communication, data presentation and visualization skills.

● Personal initiative and ability to work effectively within a cross functional team.

● Excellent communication skills and ability to learn and work independently when necessary.

● High energy and inquisitive and strong attention to detail

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.