Sr. Scientist - Computational Modeling and Formulation Development - BR&D

US: Boston MA Lilly Seaport Innovation Center, United States

Eli Lilly and Company

Lilly is a medicine company turning science into healing to make life better for people around the world.

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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.

The Lilly Bioproduct Research and Development (BR&D) organization is focused on the development and commercialization of parenteral formulations of small molecules and large molecules such as monoclonal antibodies, novel therapeutic proteins and peptides. The organization is also committed to the development of genetic medicines which includes active investments in oligonucleotide development, nanomedicines for tissue specific targeting and other gene delivery strategies. The drug product team is also investing in building new platforms to support complex formulations such as lipid nanoparticles, antibody drug conjugates, AAV, and other non-viral vector delivery.

We are seeking a highly motivated scientist with an interest in leading modeling efforts in the fields of subcutaneous drug delivery and other novel delivery methods. The individual will develop first-principle and machine learning models and will conduct experiments to generate data to support the development of the models. The individual will also partake in formulation and/or process development of large molecules, as the individual’s scope of work grows. If you are interested in conducting innovative research, you should consider joining our diverse and high-performing team.

Responsibilities:

  • Drug Delivery Modeling: Lead computational modeling efforts in subcutaneous drug delivery and other drug delivery fields, developing both first-principle models and machine learning models. Conduct benchtop experiments and design animal studies to generate data to support the development of models.

  • Formulation: Contribute to formulation development of parenteral drug products (peptides, proteins, fusion proteins, drug conjugates, and other complex formulations).

  • Process: Build process capabilities for lab scale, early phase clinical scale, and scale up technologies for parenteral drug products and other complex formulations

  • Cross-Functional Collaboration: Partner with synthetic chemistry, discovery, toxicology, ADME, analytical, and device to support drug delivery, formulation, or process efforts.

  • External Engagement: Establish and leverage strategic relationships with academia and start-ups to accelerate and access emerging innovation.

  • Innovation: Drive a strong innovation agenda for the team leading to publications, presentations and industry wide influence

Basic Requirements:

  • BS Degree in Pharmaceutics, Pharmaceutical Sciences, Chemistry, Biochemistry, Chemical Engineering, Biological Engineering or related field with 3+ years of experience post BS Degree.

  • Alternatively MS Degree in Pharmaceutics, Pharmaceutical Sciences, Chemistry, Biochemistry, Chemical Engineering, Biological Engineering or related field.

Additional Preferences:

  • Significant research experience (>2 years) or publication for

  • Demonstrated interest in biopharma through coursework, research, or professional experience (internship or full-time).

  • Background in computational modeling (first principle and/or machine learning), ideally with application to drug delivery or pharmacokinetics.

  • Knowledge of formulation development, analytical techniques, or manufacturing processes of oligos, protein, peptide, viral, or cell therapeutics.

Additional Information:

  • Location: Boston, MA

  • Schedule: 100% on-site per week. Role is partially lab-based.


Physical Demands/Travel:

The physical demands of this job are consistent with a lab environment.  

 The physical demands here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

Work Environment:

  • This position’s work environment is in a Laboratory.  

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 (https://careers.lilly.com/us/en/workplace-accommodation) 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

$69,000 - $200,200

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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Category: Data Science Jobs

Tags: Biochemistry Chemistry Engineering Machine Learning ML models Pharma Research

Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Medical leave Salary bonus Startup environment Team events

Region: North America
Country: United States

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