Job Title: Lifesciences Domain SME
Location: India (Bangalore/Pune/Hyderabad/Gurgaon)
Job Type: Full time
Job Summary:
We are seeking a highly skilled professional with expertise in computational biology, machine learning, and life sciences data analytics. The role focuses on genetic target identification, omics data analysis, AI/ML modeling (including QSAR & Geneformer), and real-world evidence (RWE) using modern cloud-based data platforms.
This role will partner with clients to shape solution strategies, evangelize data-driven offerings, and drive innovation across the drug development and commercialization lifecycle. The SME will act as a trusted advisor to senior stakeholders while enabling internal teams to design and deliver impactful solutions.
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Key Responsibilities
1. Genetic Target Identification
- Act as a domain SME to define and articulate solutions for genomic and transcriptomic data analysis supporting therapeutic target identification.
- Engage with business stakeholders to translate scientific problems into scalable analytics and AI-driven solutions.




- Design solution approaches leveraging:
- Differential gene expression analysis
- Variant analysis (genomics)
- Biomarker discovery frameworks

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2. QSAR Modeling (Quantitative Structure-Activity Relationship)
- Provide domain expertise in computational chemistry and QSAR/QSPR modeling to design AI-enabled drug discovery solutions.
- Define and propose end-to-end QSAR pipelines including:
- Molecular descriptor generation
- Feature engineering and selection
- Model development and validation

3. Geneformer Modeling, Gene Expression & Network Biology
Design solutions leveraging:
- Gene expression modeling (RNA-seq, single-cell)
- Transformer-based architectures for biological data
- Representation learning for gene interactions

Define approaches for:
- Gene expression pattern analysis
- Cell-type classification
- Disease vs healthy state prediction
- Arch

📌 Life Sciences (India)
🏢 Tredence
📍 India