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

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.  

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