Job Description
Job Title: Lifesciences Domain SME
nLocation: India (Bangalore/Pune/Hyderabad/Gurgaon)
nJob Type: Full-Time
nJob Summary:
nWe 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 contemporary cloud-based data platforms.
nThis 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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nKey Responsibilities
n1. Genetic Target Identification
n• Act as a domain SME to define and articulate solutions for genomic and transcriptomic data analysis supporting therapeutic target identification.




n• Engage with business stakeholders to translate scientific problems into scalable analytics and AI-driven solutions.
n• Design solution approaches leveraging:
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- Differential gene expression analysisn
- Variant analysis (genomics)n
- Biomarker discovery frameworksn

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n2. QSAR Modeling (Quantitative Structure-Activity Relationship)
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- Provide domain expertise in computational chemistry and QSAR/QSPR modeling to design AI-enabled drug discovery solutions.n
- Define and propose end-to-end QSAR pipelines including:n
- Molecular descriptor generationn
- Feature engineering and selectionn
- Model development and validationn

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n3. Geneformer Modeling, Gene Expression & Network Biology
n Design solutions leveraging:
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- Gene expression modeling (RNA-seq, single-cell)n
- Transformer-based architectures for biological datan
- Representation learning for gene interactionsn

nDefine approaches for:
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📌 Life sciences (Bengaluru Urban)
🏢 Tredence
📍 Bengaluru Urban