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Where Materials, Biology & Intelligence Converge

About BiogentX

BiogentX is an advanced technology company supported by renowned German professors and experienced industry experts. The company operates at the intersection of Materials Science, Molecular Biology, Medicine, and Artificial Intelligence.

By integrating cutting-edge research with innovative technological development, BiogentX aims to create transformative solutions that advance agriculture, healthcare, chemistry, and materials science while helping shape a sustainable and knowledge-driven future.

Materials Science

Agentic AI

Agriculture

Medicine

Why Join Us

Pioneering the future of science through global collaboration

Interdisciplinary Teams

Work with AI experts, medical doctors, chemists, and materials scientists on shared scientific and technological challenges.

Cutting-Edge Tech

Build solutions in artificial intelligence, materials science, agriculture, chemistry, and real-world scientific applications.

Global Footprint

Gain experience in an international environment spanning Germany, Japan, and Pakistan across academia and industry.

Growth and Rewards

Receive competitive salaries and strong opportunities for scientific, professional, and leadership growth.

Open Positions

Renala Khurd, Punjab

Agentic AI Engineer

LLMs | Multi-Agent Systems | RAG

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  • Build autonomous agents using LangFamily, CrewAI, or AutoGen.
  • Design RAG pipelines for scientific databases.
  • Deploy scalable LLM systems for research and industry use.

Computational Biology & Drug Discovery Scientist

Bioinformatics | Omics | Molecular Modeling

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  • Apply ML to molecular, cellular, and omics datasets.
  • Support AI-driven target identification and bioactivity prediction.
  • Curate and analyze pharmacological and biomarker data.

Materials Informatics Specialist

Materials Data | Classification | Python

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  • Utilize AI potential to design new materials.
  • Optimize Existing Materials.
  • Develop Python-based modeling and automation workflows.

Agriculture Domain Specialist

Crop Science | Soil Analysis | Metagenomics | Agricultural Data Interpretation

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  • Analyze plant genomic, transcriptomic, and epigenomic datasets to study gene function, regulation, and trait development.
  • Conduct population genomics, comparative genomics, and pangenome analysis to understand genetic diversity and crop evolution.
  • Perform GWAS, QTL mapping, and functional genomics analyses to identify key genes and markers for crop improvement.
  • Interpret soil microbiome and environmental metagenomics data to study plant-microbe interactions and ecosystem health.
  • Integrate genomic, transcriptomic, pangenomic, and metagenomic datasets for comprehensive agricultural research.
  • Support research on crop productivity, nutrient management, stress tolerance, and sustainable agriculture.
  • Collaborate with interdisciplinary teams to translate genomics and microbiome findings into actionable strategies for agriculture and food security.

Cheminformatics & Molecular Modeling Scientist

Chemical Databases | Molecular Modeling & Structural Analysis | Drug & Material Discovery

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  • Curate and analyze chemical compound datasets from public databases such as PubChem, ChEMBL, and ZINC Database.
  • Perform molecular descriptor calculation, compound similarity analysis, and property prediction.
  • Conduct molecular modeling, structural analysis, docking, pharmacophore modeling, and virtual screening to study interactions between small molecules and biological or material targets.
  • Analyze physicochemical, structural, and bioactivity data to support drug discovery or materials research.
  • Develop computational workflows and pipelines to organize and interpret chemical and structural data efficiently.

Scientist Scientific Knowledge Graph & Database Specialist

Knowledge Graphs | Database Development | Scientific Data Management

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  • Design, develop, and maintain SQL/NoSQL databases for biological, chemical, agricultural, and materials datasets.
  • Build and manage knowledge graphs to integrate heterogeneous scientific data from literature, experiments, and public repositories.
  • Curate and standardize datasets for easy access, analysis, and visualization by research teams.
  • Develop data pipelines and structured workflows to process, link, and validate complex scientific information.
  • Collaborate with interdisciplinary teams to translate raw scientific data into structured knowledge and actionable insights.
  • Support AI, cheminformatics, and materials research by providing robust and well-organized data infrastructure.

AI & Software Developer

Machine Learning | Deep Learning | LLMops | Web Applications | Scientific Software

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  • Develop machine learning and deep learning models for scientific, biomedical, and materials datasets.
  • Implement data preprocessing pipelines, feature engineering, and model evaluation.
  • Design and develop web applications, dashboards, and interfaces to visualize and interact with scientific data.
  • Build secure and scalable backend APIs and manage SQL/NoSQL databases for research and production use.
  • Deploy, manage, and integrate LLM systems (LLMops) to support research and decision-making workflows.
  • Maintain code quality, documentation, and deployment pipelines for scientific applications.

Computer Vision & Medical AI Engineer

Deep Learning | Diagnostic AI | Model Optimization

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  • Develop AI models for MRI, CT, Histopathology, and OCT imaging.
  • Design lightweight Vision Transformer models for deployment.
  • Optimize models with attention, distillation, and trustworthy AI.

Requirements

  • BS, MS, or PhD in Chemistry, Molecular Biology, Materials Science, Agriculture, Electrical Engineering, Computer Science, Data Science, Bioinformatics, or related fields.
  • Strong foundational expertise in the candidate's discipline with practical competence in the relevant scientific or technical area.
  • Ability to translate research findings into scalable and impactful real-world solutions.
  • Capability to communicate technical findings to both technical and non-technical audiences.

Apply Now

Apply Now

If you are passionate about contributing to cutting-edge interdisciplinary research and technological innovation, we encourage you to apply.

  • Please send your CV and a brief cover letter to: HR@biogentx.com
  • Subject Line: Application for [Position] - [Chemistry / Material Science / Molecular Biology / AI / Agriculture]
  • Example: Application for Research Scientist - Molecular Biology, AI Researcher | Expertise in Artificial Intelligence
  • Please clearly mention the domain or position you are applying for in the subject line.
  • Note: Applications will be reviewed on a rolling basis, and positions will remain open until they are filled. Early applications are strongly encouraged.
Apply via Email