? Job Details at a Glance ? Location Bangalore, Karnātaka, India ? Company Eli Lilly ? Experience 0-2 years ? Qualification Relevant technical qualification and demonstrated shipping experience ? Eligible Batch 2023, 2024, 2025, 2026 ? Job Type Full Time ? Salary Not Disclosed ? Industry Healthcare ? Key Skills Python machine learning computational modeling quantum mechanical modeling retrosynthesis synthetic route design ai/ml tools cheminformatics chemical modeling software transition state analysis Advisor, Computational Chemistry at Eli Lilly — Full Details &

How to Apply Eli Lilly is seeking an Advisor, Computational Chemistry in Bangalore, Karnātaka, India to spearhead AI/ML initiatives in synthetic route design. This role offers freshers a unique chance to impact pharmaceutical research directly. The healthcare industry is increasingly integrating AI/ML technologies, making this Advisor, Computational Chemistry role crucial for advancing drug discovery processes.

As pharmaceutical companies like Eli Lilly focus on innovative solutions, the demand for skilled professionals in computational chemistry is on the rise, particularly in the realm of synthetic pathways. Eli Lilly , founded in 1876 , employs over 38,000 people globally and is a leader in pharmaceutical innovation. The company’s commitment to research and development ensures that employees in this role will work with cutting-edge tools and methodologies, setting Eli Lilly apart as an employer of choice in the healthcare sector.

We encourage 2023, 2024, 2025, 2026 graduates with a relevant technical qualification and demonstrated shipping experience to apply. This position is suitable for candidates with 0-2 years experience , and while the salary is not disclosed , the potential for growth is significant. In this role, you will gain hands-on experience with advanced tools such as Python , machine learning , and computational modeling

- Working with technologies like Gaussian and Schrodinger will not only enhance your skill set but also open doors to advanced positions in the field of computational chemistry. ? Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated non-tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role &

Responsibilities The core mission of the Advisor, Computational Chemistry role at Eli Lilly is to leverage advanced computational techniques to drive innovation in drug discovery and development. Lead AI/ML projects focusing on reaction-prediction using Python and Gaussian to enhance predictive accuracy. Utilize cheminformatics techniques to optimize synthetic routes and predict product outcomes, ensuring efficient research processes.

Collaborate with cross-functional teams, including medicinal chemistry and data science, to enhance project outcomes through integrated computational modeling. Analyze computational data to improve modeling accuracy and efficiency metrics, utilizing high-performance computing resources. Take initiative in developing automated computational workflows to streamline research processes, enhancing productivity.

Document research findings and present them in team meetings to facilitate knowledge sharing and collaborative learning. Engage with clients to understand their needs and provide tailored computational solutions, ensuring alignment with project goals. This role fosters an ownership culture, allowing you to directly impact research outcomes and contribute to the advancement of healthcare solutions.

Required Skills &

- Technical Competencies The ideal candidate must possess a robust skill profile that includes proficiency in computational tools and methodologies essential for success in this role.

Technical Skills

Python — entry — essential for scripting and automating computational tasks, requiring proficiency in data manipulation. Machine learning — entry — applied to enhance predictive models for chemical reactions, crucial for this role. Computational modeling — entry — used daily to simulate chemical processes and evaluate synthetic routes. Cheminformatics — entry — involves data analysis and visualization, leveraging tools like Schrodinger and Psi4

- High-performance computing — entry — necessary for handling large datasets and complex simulations effectively. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and application of these tools.

Eligibility Criteria

This role is designed for recent graduates with a strong foundation in computational chemistry and related fields. Candidates must hold a degree in Chemistry , Chemical Engineering , or a related field. Eligible batches include 2023 to 2026 , providing fresh graduates ample opportunity to apply.





The role is tailored for candidates with 0-2 years of experience, making it ideal for recent graduates. A minimum CGPA of 7.0 is preferred to ensure a solid academic foundation in relevant subjects. Having a portfolio showcasing relevant projects or internships in computational chemistry will be advantageous.

Documentation &

- Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences. Include a portfolio that showcases your projects in computational chemistry.

Pro tip: Tailor your application to emphasize your hands-on experience with specific tools like Gaussian and Python to stand out in the selection process.

Salary for Advisor, Computational Chemistry at Eli Lilly ? Compensation Not Disclosed The advertised compensation for the Advisor, Computational Chemistry 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 Advisor, Computational Chemistry Upskilling with the right resources significantly enhances your chances of selection for this specialized role.

Recommended

Courses &
- Resources MS Office — Proficiency in MS Office is essential for data analysis and reporting tasks.

Communication

Skills — Effective communication is crucial for collaboration in cross-functional teams. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply.

Common

Mistakes to Avoid ❌ Failing to tailor the resume — Highlight specific skills relevant to computational chemistry and AI/ML. ❌ Neglecting to include academic projects — Demonstrate practical application of skills through relevant projects. ❌ Overlooking documentation of past experiences — Clearly document outcomes and contributions in previous roles. ❌ Submitting a generic cover letter — Address Eli Lilly 's specific focus areas in your cover letter. ❌ Ignoring professional online presence — Maintain a LinkedIn profile showcasing relevant skills and experiences. ❌ Not preparing for technical questions — Review common interview questions related to computational modeling and AI/ML applications.

Before You

Apply — Checklist ✅ Research Eli Lilly 's recent projects and initiatives in computational chemistry before applying. ✅ Ensure your resume is updated with relevant skills and experiences tailored to the . ✅ Prepare a cover letter that specifically addresses why you are a good fit for this role at Eli Lilly . ✅ Gather any necessary documentation, such as transcripts or portfolio pieces, to support your application. ✅ Double-check the application portal for any specific submission guidelines or requirements. ✅ Set reminders for follow-up communications after submitting your application. ✅ Connect with current or former Eli Lilly employees on LinkedIn for insights into the company culture. ✅ Review common interview questions related to computational chemistry and prepare your responses.

Resume

Tailoring &
- ATS Keywords for Advisor, Computational Chemistry Optimizing your resume for ATS is crucial to ensure it gets noticed for this specialized role. ATS Keywords to Include Computational Chemistry AI/ML Synthetic Route Design Cheminformatics Python Gaussian Machine Learning Quantum Mechanical Modeling Data Chemistry Platforms Transition State Analysis Automated Workflows High-Performance Computing Resume Tips for This Role Highlight relevant coursework or projects in computational chemistry to demonstrate your technical expertise. Emphasize teamwork and collaboration experiences, as cross-functional work is key in this role. Include any internships or practical experiences that showcase your skills in computational modeling. Optimize your resume for ATS by using keywords from the , particularly technical skills. Avoid including unrelated work experience that does not pertain to computational chemistry or the pharmaceutical industry. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers.

Pro Tip: Avoid including generic statements or experiences that do not directly relate to computational chemistry.

How to Apply for Advisor, Computational Chemistry at Eli Lilly Apply Now — Eli Lilly Visit the application portal and create an account if you don't have one. Upload your resume, ensuring it is tailored to highlight relevant skills. Fill out the application form accurately,



providing all necessary details.

After submission, you can expect a confirmation email regarding your application status. Track your application through the portal for updates on your application status. Applications reviewed on a rolling basis — early submission recommended.

Apply

Now — Eli Lilly NexisGrow.com does not charge any fees for job applications.

Eli Lilly Eli

Lilly , founded in 1876 , has established a significant global footprint with operations in over 120 countries
- The company’s headquarters is located in Indianapolis, Indiana , and it employs approximately 35,000 people worldwide. This extensive reach allows Eli Lilly to impact healthcare on a global scale, providing innovative solutions to patients. Among its core products, Eli Lilly is well-known for Humalog , a rapid-acting insulin, and Cialis , a treatment for erectile dysfunction.

The company also focuses on oncology with drugs like Verzenio and has made significant advancements in neuroscience with Trulicity

- These products highlight Eli Lilly's commitment to addressing critical health challenges. Eli Lilly has received numerous accolades for its workplace culture, including a spot on the Fortune 100 Best Companies to Work For list. The company actively promotes diversity and inclusion, earning recognition for its employee resource groups and mentorship programs.

Such initiatives foster a supportive environment for all employees, enhancing job satisfaction. Recently, Eli Lilly announced a substantial investment in AI-driven drug discovery, aiming to leverage advanced technologies for faster and more efficient research. This initiative underscores the company’s focus on innovation and its commitment to integrating cutting-edge technology into its operations, ensuring it remains at the forefront of the pharmaceutical industry.

For freshers in healthcare, Eli Lilly offers a robust foundation in pharmaceutical research, providing access to mentorship and hands-on experience. The company’s emphasis on continuous learning and development equips new employees with essential skills in areas like computational chemistry and machine learning, making it an ideal launchpad for a successful career.

Company Details Industry Healthcare Location

Bangalore, Karnātaka, India Connect With Us Careers Apply Now Website ? lilly.wd115.myworkdayjobs.com Frequently Asked Questions Interview

- Role

- Salary
- Growth ? Who can apply for Advisor, Computational Chemistry at Eli Lilly?

Eligibility

Tap to expand + Answer Candidates with Relevant technical qualification and demonstrated shipping experience and 0-2 years experience are eligible.

Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role?

Skills Tap to expand + Answer Key skills: Python, machine learning, computational modeling, quantum mechanical modeling, retrosynthesis. Solid fundamentals and practical project experience matter most. ? What is the salary for this position?

Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Eli Lilly?

Interview

Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite?

Work Mode

Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the growth opportunities path from this role?

Growth

Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply?

Application

Tap to expand + Answer Apply via the official link in How to Apply section.

Highlight: Python, machine learning, computational modeling, quantum mechanical modeling, retrosynthesis. ? Is there a probation period?

Probation

Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Advisor, Computational Chemistry interview?

Preparation

Tap to expand + Answer (1) Core concepts of Python, machine learning, computational modeling, quantum mechanical modeling, retrosynthesis, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Eli Lilly research, (5) Clear communication. ? What is the work culture like at Eli Lilly?

Culture

Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. ? Explore More on NexisGrow More jobs in Bangalore Browse all Non-Tech jobs Latest Fresher jobs More jobs at Eli Lilly Work From Home jobs Ready to Apply? Don't Miss This Opportunity!

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