Eli Lilly H-1B Visa Sponsorship Jobs USA
Eli Lilly is a consistent H-1B visa sponsor in the pharmaceutical and biotechnology sector, regularly filing petitions for roles in drug discovery, clinical development, regulatory affairs, and data science. If you're targeting a research-driven career in biopharma, Eli Lilly is a realistic and active H-1B pathway worth pursuing.
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Get Access To All JobsAt Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
At Lilly, Synthetic Molecule Design and Development (SMDD) is involved in key activities for the development of synthetic drug substances and drug products starting with pre-clinical phases through commercialization. Our scientists and engineers develop innovative technical and business solutions across a portfolio of projects using their deep technical expertise to accelerate testing of the clinical hypothesis and overall drug development. Through recognizing the value of a hardworking and culturally diverse workforce, SMDD delivers on these responsibilities and helps bring the next generation of life-changing medicines to patients.
The CMC AI/ML and Automation scientist will collaborate closely with scientists in the Product R&D organization to derive value-added insights from data to answer technical and business questions. Candidates must demonstrate a history of strong technical depth, a broad base of modeling and information technology skills, scientific leadership, and a willingness to promote a collaborative, team-based approach to problem solving. Experience applying AI/ML within at least one CMC discipline — such as chemistry, formulation, engineering, or analytical sciences — is preferred. Additionally, the AI/ML Scientist will contribute to the advancement of new capabilities by utilizing large language models (LLMs) to improve traditional data science workflows and use AI approaches and automation to enable the development of autonomous process and product development laboratories. Specifically, the candidate will have experience in the following areas:
Experience in working with different data types and source systems as well as interfacing databases to enable extracting relevant data to address business questions. Experience in statistics/artificial intelligence/machine learning techniques to be able to use the right tool for the right question. Experience utilizing large language models (LLM) to complement and enhance traditional data science workflows. Strong mathematical and coding background with ability to quickly test and screen AI approaches for a problem. Ability to merge strong technical depth with technologies in big data to stimulate new hypotheses, workplans, and solutions. Ability to communicate the results of analysis in an effective manner to stakeholders to drive action.
Key Responsibilities:
- Work with scientists across Product R&D to identify and solve problems that can be effectively addressed using a combination of AI/ML and fundamental engineering/science principles
- Build decision support tools, templates, dashboards for high frequency decisions that can leverage data science approaches
- Seek out opportunities to apply advances in large language models (LLM), and evolving AI tools/methodologies to accelerate development workflows
- Contribute to capability development efforts to use AI-driven methodologies to autonomously design, plan screening and data rich experiments. Develop lab automation protocols to execute closed loop hybrid (experimental and compute) workflows
- Stay current with advancements in AI applications in CMC development.
Minimum Qualifications
- Ph. D. in Chemical Engineering, Chemistry, Formulation, Analytical Sciences, or related field OR MS in Chemical Engineering, Chemistry, Formulation, Analytical Sciences, or related field with 5+ years’ experience
- Experience in programming in scripting languages such as Python and learning agility to pick up new languages and tools as needed
- Familiarity with AI frameworks and tools (e.g. TensorFlow, pyTorch)
- Experience in working with varied data types (structured and unstructured) and databases
- At least 3 years experience in applying data science/AI techniques either in research or industry
- Experience applying LLMs either in research or industry
- Willingness to work with lab scientists to develop automation solutions
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills. Ability to convey technical concepts to non-experts and collaborate effectively with diverse teams
Additional Skills/Preferences:
- Familiarity with big data technologies (such as Azure/AWS)
- Familiarity with Agentic AI/AI workflow orchestration
- Familiarity with Microsoft 365 and data platforms (e.g., PowerBI, Fabric) for building AI-augmented workflows and reporting solutions
- Experience integrating and visualizing data from diverse sources, including leveraging LLM-powered tools to accelerate insight generation and reduce manual data wrangling
- Familiarity with data models, ontologies, and controlled vocabularies; experience with CMC specific data models and ontologies is a plus
- Experience building and managing structured scientific workflows
- Familiarity in one or more of the domain areas:
- Unit operation design, process modeling, process equipment selection, data rich experiments, PAT utilization in the laboratory and production facilities, or scale-up methodologies
- Organic chemistry, chemical synthesis, and route design
- Drug product formulation platforms
- Online and offline analytical techniques and process analytical technologies (PAT)
- Experience working with lab or process automation systems such as DeltaV, Labview or other open source systems
- Familiarity with automated lab reactors/equipment
Additional Information
- Travel: 0-5%
- Location: Indianapolis, IN, USA
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $129,000 - $209,000. Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
At Lilly, Synthetic Molecule Design and Development (SMDD) is involved in key activities for the development of synthetic drug substances and drug products starting with pre-clinical phases through commercialization. Our scientists and engineers develop innovative technical and business solutions across a portfolio of projects using their deep technical expertise to accelerate testing of the clinical hypothesis and overall drug development. Through recognizing the value of a hardworking and culturally diverse workforce, SMDD delivers on these responsibilities and helps bring the next generation of life-changing medicines to patients.
The CMC AI/ML and Automation scientist will collaborate closely with scientists in the Product R&D organization to derive value-added insights from data to answer technical and business questions. Candidates must demonstrate a history of strong technical depth, a broad base of modeling and information technology skills, scientific leadership, and a willingness to promote a collaborative, team-based approach to problem solving. Experience applying AI/ML within at least one CMC discipline — such as chemistry, formulation, engineering, or analytical sciences — is preferred. Additionally, the AI/ML Scientist will contribute to the advancement of new capabilities by utilizing large language models (LLMs) to improve traditional data science workflows and use AI approaches and automation to enable the development of autonomous process and product development laboratories. Specifically, the candidate will have experience in the following areas:
Experience in working with different data types and source systems as well as interfacing databases to enable extracting relevant data to address business questions. Experience in statistics/artificial intelligence/machine learning techniques to be able to use the right tool for the right question. Experience utilizing large language models (LLM) to complement and enhance traditional data science workflows. Strong mathematical and coding background with ability to quickly test and screen AI approaches for a problem. Ability to merge strong technical depth with technologies in big data to stimulate new hypotheses, workplans, and solutions. Ability to communicate the results of analysis in an effective manner to stakeholders to drive action.
Key Responsibilities:
- Work with scientists across Product R&D to identify and solve problems that can be effectively addressed using a combination of AI/ML and fundamental engineering/science principles
- Build decision support tools, templates, dashboards for high frequency decisions that can leverage data science approaches
- Seek out opportunities to apply advances in large language models (LLM), and evolving AI tools/methodologies to accelerate development workflows
- Contribute to capability development efforts to use AI-driven methodologies to autonomously design, plan screening and data rich experiments. Develop lab automation protocols to execute closed loop hybrid (experimental and compute) workflows
- Stay current with advancements in AI applications in CMC development.
Minimum Qualifications
- Ph. D. in Chemical Engineering, Chemistry, Formulation, Analytical Sciences, or related field OR MS in Chemical Engineering, Chemistry, Formulation, Analytical Sciences, or related field with 5+ years’ experience
- Experience in programming in scripting languages such as Python and learning agility to pick up new languages and tools as needed
- Familiarity with AI frameworks and tools (e.g. TensorFlow, pyTorch)
- Experience in working with varied data types (structured and unstructured) and databases
- At least 3 years experience in applying data science/AI techniques either in research or industry
- Experience applying LLMs either in research or industry
- Willingness to work with lab scientists to develop automation solutions
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills. Ability to convey technical concepts to non-experts and collaborate effectively with diverse teams
Additional Skills/Preferences:
- Familiarity with big data technologies (such as Azure/AWS)
- Familiarity with Agentic AI/AI workflow orchestration
- Familiarity with Microsoft 365 and data platforms (e.g., PowerBI, Fabric) for building AI-augmented workflows and reporting solutions
- Experience integrating and visualizing data from diverse sources, including leveraging LLM-powered tools to accelerate insight generation and reduce manual data wrangling
- Familiarity with data models, ontologies, and controlled vocabularies; experience with CMC specific data models and ontologies is a plus
- Experience building and managing structured scientific workflows
- Familiarity in one or more of the domain areas:
- Unit operation design, process modeling, process equipment selection, data rich experiments, PAT utilization in the laboratory and production facilities, or scale-up methodologies
- Organic chemistry, chemical synthesis, and route design
- Drug product formulation platforms
- Online and offline analytical techniques and process analytical technologies (PAT)
- Experience working with lab or process automation systems such as DeltaV, Labview or other open source systems
- Familiarity with automated lab reactors/equipment
Additional Information
- Travel: 0-5%
- Location: Indianapolis, IN, USA
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $129,000 - $209,000. Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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Get Access To All JobsTips for Finding Eli Lilly H-1B Visa Sponsorship Jobs USA
Align your degree to specialty occupation criteria
Eli Lilly's H-1B roles in medicinal chemistry, pharmacokinetics, and bioinformatics require a direct field match between your degree and the job. Document how your coursework maps to the role using O*NET occupation profiles before you apply.
Target Lilly's pipeline-stage research teams
Eli Lilly structures hiring around drug development stages: discovery, clinical, and commercialization. Roles tied to active pipeline programs in oncology, immunology, and cardiometabolic disease tend to generate the most consistent H-1B petition activity across research and regulatory functions.
Search Lilly's verified H-1B filing history on Migrate Mate
Before applying, use Migrate Mate to review Eli Lilly's DOL Labor Condition Application history by job title and work location. This shows which roles and sites have active H-1B filings, so you can target positions where sponsorship is already established rather than negotiating it from scratch.
Benchmark your salary against Lilly's LCA wage level
Lilly's H-1B petitions must certify a prevailing wage through DOL. Use the OFLC Wage Search to find the prevailing wage for your occupation code and intended work site before your offer stage, so salary negotiations stay within a range Lilly can certify without delays.
Submit your H-1B registration during the March lottery window
Eli Lilly files cap-subject H-1B petitions under the annual lottery, with USCIS accepting registrations each March. Confirm your offer letter and I-129 details are finalized before the registration window opens, since late documentation can cause your employer to miss the deadline entirely.
Clarify Lilly's premium processing policy during your offer
Many pharmaceutical employers use premium processing for time-sensitive H-1B transfers or new hires with tight start dates. Ask Lilly's HR team directly whether premium processing is available for your petition, since USCIS guarantees a 15-business-day adjudication window under that option.
Eli Lilly H-1B Visa Sponsorship: Frequently Asked Questions
Does Eli Lilly sponsor H-1B visas?
Yes, Eli Lilly sponsors H-1B visas and has done so consistently across its U.S. operations. The company files petitions for roles in pharmaceutical research, clinical development, regulatory affairs, data science, and engineering. Sponsorship is most common in roles that require a degree in a directly related scientific or technical field, which aligns with Lilly's core specialty occupation filings.
Which roles at Eli Lilly typically receive H-1B sponsorship?
H-1B sponsorship at Eli Lilly is most concentrated in scientific and technical functions, including medicinal chemistry, pharmacology, biostatistics, clinical data management, regulatory affairs, and manufacturing process engineering. Corporate functions in finance, information technology, and data analytics also generate H-1B petitions when the role requires a specific degree field under USCIS specialty occupation standards.
How do I find open H-1B positions at Eli Lilly?
Use Migrate Mate to search Eli Lilly's verified Labor Condition Application filings by job title and work location. This shows where Lilly has active H-1B sponsorship history, helping you focus applications on roles and sites where the company already has an established filing pattern rather than hoping sponsorship will be offered mid-process.
How do I navigate the H-1B process after receiving an offer from Eli Lilly?
Once Lilly extends an offer, their immigration team or outside counsel will initiate the Labor Condition Application with DOL, then file the I-129 petition with USCIS. Your part involves providing education credentials, employment history, and passport details. If your start date is urgent, ask whether Lilly will use premium processing to accelerate the USCIS adjudication timeline.
How long does H-1B sponsorship take at Eli Lilly?
For new cap-subject H-1B petitions, the timeline depends on the annual lottery in March and USCIS processing after October 1. Standard processing can take several months after selection. For transfers from another H-1B employer, Lilly can file a portability petition and you may begin work upon receipt. Premium processing reduces USCIS adjudication to 15 business days when Lilly elects to use it.
What is the prevailing wage for H-1B jobs at Eli Lilly?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.