📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company Eli Lilly 👥 Experience 1-3 years 🎓 Qualification Senior level 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python TensorFlow PyTorch Deep Learning Genomic Language Models Genomic Sequence Data Analysis JAX Sequence-to-Expression Modeling Genomic AI Scientist – Drug Discovery Data Scientist at Eli Lilly — Full Details & How to Apply Eli Lilly is seeking a Genomic AI Scientist – Drug Discovery Data Scientist in Bangalore, Karnataka, India to develop genomic AI models for drug discovery using deep learning frameworks. This role requires hands-on work with TensorFlow, PyTorch, and JAX , and directly involves genomic sequence data analysis and sequence-to-expression modeling . This position supports the advancement of drug discovery by building AI models that interpret genomic data. The role involves technical strategy, mentoring of bioinformaticians and data scientists, and implementation of deep learning models. Candidates will use PyTorch , TensorFlow , and JAX to analyze genomic sequence data and develop models for sequence-to-expression tasks. The work is grounded in real-world genomic data and focuses on practical model development and deployment. The job posting identifies Eli Lilly as a leader in the technology sector with a focus on innovative drug discovery solutions. The role is part of a team that develops genomic AI models and supports technical leadership in data science. The position emphasizes practical application of deep learning tools in a structured, research-driven environment. 2023, 2024, 2025, 2026 graduates with Senior level qualifications and 1-3 years experience are eligible. The role offers hands-on experience with genomic language models , genomic sequence data analysis , and deep learning frameworks. The salary is Not Disclosed . Candidates will gain expertise in Python , TensorFlow , PyTorch , Deep Learning , Genomic Language Models , Genomic Sequence Data Analysis , and JAX . This experience builds a strong foundation for careers in AI-driven drug discovery and biotech technology. Progression paths include advancing into AI research roles or specialized data science positions in life sciences. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Genomic AI Scientist – Drug Discovery Data Scientist jobs, Eli Lilly recruitment, apply online, Bangalore, Karnataka, India jobs Job Role & Responsibilities The Genomic AI Scientist – Drug Discovery Data Scientist at Eli Lilly leads the development of AI-driven models to predict gene variant effects using genomic sequence data analysis , directly impacting drug discovery pipelines and regulatory genomics outcomes. Build genomic language models using Python and TensorFlow to analyze DNA sequence patterns and predict functional impacts of genetic variants. Train deep learning models with PyTorch and JAX to perform sequence-to-expression modeling on large-scale genomic datasets from public repositories. Optimize model performance using deep learning techniques to improve accuracy in variant effect prediction, measured by ROC-AUC and precision-recall metrics . Integrate genomic sequence data from NCBI and Ensembl into existing AI workflows using Python scripts and PyTorch pipelines. Mentor bioinformaticians and data scientists in genomic sequence data analysis and deep learning implementation, ensuring consistency in model validation protocols. Monitor and maintain genomic AI model codebases using Git and CI/CD pipelines to ensure reproducibility and stability in production environments. Document end-to-end machine learning workflows with reproducible practices , including data preprocessing , model training , and performance evaluation steps. Diagnose integration failures between genomic data sources and AI models using error logs , feature importance metrics , and model debugging tools in PyTorch and JAX . This role demands direct ownership of model performance, with every decision impacting variant effect prediction accuracy , drug target validation , and AI pipeline reliability in real-world drug discovery projects. Required Skills & Technical Competencies The role requires a strong technical foundation in Python , TensorFlow , PyTorch , and deep learning to implement and validate genomic AI models. All skills must be applied in real-world genomic data contexts. Technical Skills Python — advanced — used for developing genomic AI pipelines, data preprocessing, and integrating with NCBI and Ensembl APIs. TensorFlow — intermediate to advanced — used to build and train deep learning models for genomic variant effect prediction and sequence analysis. Deep Learning — advanced — critical for implementing sequence-to-expression modeling and handling high-dimensional genomic data. JAX — intermediate — used for high-performance gradient computation and model optimization in genomic AI applications. PyTorch — advanced — applied in dynamic model training, debugging, and real-time genomic data processing pipelines. Genomic Sequence Data Analysis — advanced — essential for parsing, aligning, and analyzing raw genomic sequences from FASTA and VSF files. Genomic Language Models — intermediate to advanced — used to model gene regulatory sequences and predict functional outcomes from DNA sequences. When preparing your resume, emphasize hands-on projects using Python , TensorFlow , and PyTorch to analyze real genomic datasets, with clear metrics on model performance and accuracy. Eligibility Criteria This role is designed for senior-level candidates with 1–3 years of experience in data science or genomic AI and a strong academic background in computational biology or computer science. Must hold a senior-level degree in Computer Science , Biomedical Engineering , or a related field. Eligible batches are 2023 , 2024 , 2025 , and 2026 . Minimum of 1–3 years of professional experience in data science or AI applications, including projects involving genomic data or deep learning . CGPA or academic performance is not specified, but project quality and technical depth are expected. Must demonstrate a portfolio of technical work involving genomic sequence data analysis or deep learning model development. Documentation & Portfolio Requirements Your resume must include a clear technical portfolio with project descriptions, code repositories (e.g., GitHub), and performance metrics such as accuracy, F1-score, or AUC from genomic AI models. For this role, prioritize showcasing a project where you used Python and PyTorch to analyze genomic sequences and build a model for variant effect prediction, with measurable outcomes and data sources cited. Salary for Genomic AI Scientist – Drug Discovery Data Scientist at Eli Lilly 💰 Compensation Not Disclosed The advertised compensation for the Genomic AI Scientist – Drug Discovery Data Scientist role at Eli Lilly is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Genomic AI Scientist – Drug Discovery Data Scientist Upskilling with the right resources significantly enhances your chances of selection for this specialized role. Recommended Courses & Resources Python — Essential for data manipulation and analysis in genomic AI. TensorFlow — Crucial for building and training deep learning models. PyTorch — Important for developing dynamic neural networks in genomic applications. KodNest — Offers hands-on projects that enhance practical skills in AI. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in deep learning or genomic data analysis — include specific projects or coursework. ❌ Using a generic resume rather than tailoring it to the specific responsibilities outlined in the job description — customize your resume for this role. ❌ Listing technologies like TensorFlow without detailing how they were applied in previous roles or projects — provide context for your skills. ❌ Ignoring the experience requirement of 1-3 years and applying as a fresher — ensure you meet the experience criteria. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords — focus on relevant skills only. ❌ Not verifying the official Apply URL and job details before submission — double-check all application details. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Genomic AI Scientist – Drug Discovery Data Scientist Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Genomic AI Drug Discovery Python TensorFlow Deep Learning Genomic Language Models Genomic Sequence Data Analysis JAX PyTorch Sequence-to-Expression Modeling Variant Effect Modeling Regulatory Genomics Resume Tips for This Role Highlight your experience with deep learning and genomic data analysis prominently on your resume. Emphasize proficiency in Python and TensorFlow , as these are critical for the role. Consider including projects that demonstrate your skills in genomic language models or sequence data analysis. Use exact keywords from the job description naturally to improve ATS alignment. Avoid adding unsupported technologies or experiences that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experiences or skills that do not align with the job requirements for this role. How to Apply for Genomic AI Scientist – Drug Discovery Data Scientist at Eli Lilly Apply Now — Eli Lilly Open the official apply URL and confirm the job title and company matches the position you're applying for. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job posting. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or your registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Eli Lilly NexisGrow.com does not charge any fees for job applications. Eli Lilly Eli Lilly is a technology company in Bangalore, Karnataka, India, operating in an onsite work mode. It specializes in drug discovery using genomic AI and advanced data science technologies. The team develops genomic AI models for drug discovery, focusing on deep learning , genomic sequence data analysis , and sequence-to-expression modeling . Tools like TensorFlow , PyTorch , JAX , and Enformer are used to analyze genomic data and predict biological outcomes. This role supports Eli Lilly ’s mission by driving technical leadership and cross-functional collaboration in genomic AI, directly contributing to drug discovery pipelines. Early-career professionals gain hands-on exposure to Python , deep learning , and genomic language models in real-world applications, including variant effect modeling and multi-omics integration. Company Details Industry Technology Location Bangalore, Karnataka, India Connect With Us Careers Apply Now Website 🔗 lilly.wd115.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a senior-level qualification from the 2023, 2024, 2025, and 2026 batches and 1-3 years of experience. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include Python, TensorFlow, Deep Learning, and Genomic Sequence Data Analysis. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review deep learning concepts. 2. Familiarize yourself with genomic data analysis. 3. Prepare examples of past projects. 4. Understand the role's responsibilities. 5. Practice technical questions related to Python and TensorFlow. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Bangalore, Karnataka, India. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to advanced genomic AI technologies and collaboration with senior leadership. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, TensorFlow, deep learning, and any relevant projects or experiences. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with senior leadership and cross-functional teams. ? Can freshers apply for this role? Fresher Tap to expand + Answer Freshers are not explicitly accepted as the experience requirement is 1-3 years. 🔗 Explore More on NexisGrow More jobs in Bangalore Browse all Tech jobs Latest Fresher jobs More jobs at Eli Lilly Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com