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. Unable to load the shape

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 Unable to load the shape

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 Architect AI-driven network

📌 Life sciences (Mumbai)
🏢 Tredence
📍 Mumbai