Preformulation Scientist: AI-Driven Drug Delivery

Bristol-Myers Squibb Co; San Diego (CA); On-site; USD 112,000 - 136,000; Full time

Job summary

Bristol Myers Squibb is seeking a Scientist, Pharmaceutics/Preformulation in San Diego to advance drug delivery strategies for small molecules in preclinical studies. The role emphasizes understanding physicochemical properties and designing enabling formulations to support discovery programs.

The successful candidate will apply AI-enabled approaches, contribute to strategic direction of Discovery Pharmaceutics, and work with interdisciplinary teams to accelerate candidate identification and

Qualifications

• Ph.D. with 0-2 years of experience, or MS with 3+ years, or Bachelors with 5+ years in Pharmaceutics, Pharmaceutical / Medicinal / Physical / Analytical Chemistry, Biochemistry, Chemical Engineering, or a related discipline, or academic equivalent, is required.
• Understanding of preformulation aspects for new chemical entities, along with the ability to guide the generation and interpretation of preformulation laboratory data as it relates to the overall discovery process.
• Familiarity with enabling formulation strategies for poorly soluble or poorly permeable compounds — such as amorphous solid dispersions, lipid-based formulations (e.g., SEDDS/SMEDDS), and permeation enhancers.
• Knowledge on use of computers and databases for data collection, compilation, analysis, and information dissemination is a must.
• Experience with physiologically based biopharmaceutics modeling tools (e.g., GastroPlus) is desired but not essential.
• Experience using computational and AI-enabled tools for experimental planning, data analysis, and literature mining is a plus.
• Effective team player who engages interdisciplinary discovery teams and raises pharmaceutics and developability considerations, in a flexible, global environment.
• Good written and verbal communication skills are a must.

Responsibilities

• Conduct and interpret preformulation studies on small molecule drug candidates to define physicochemical and biopharmaceutical properties relevant to drug delivery.
• Provide experimental/computational/predictive input to drug discovery scientists during screening of new chemical entities, and enable drug design from lead optimization to the point of candidate identification, characterization and selection
• Strategically design and guide the development of enabling formulations — including amorphous solid dispersions, lipid-based formulations, formulations incorporating permeation enhancers, and others — suitable for use in drug discovery pharmacology, PK, and initial toxicology studies.
• Ability to propose and design novel in vitro methodologies (e.g., modified flux/permeability assays) to evaluate the performance of various formulation types, including enabling formulations and permeation enhancers, is desirable.
• Apply innovative drug delivery technologies and data-driven or AI-enabled approaches, internally and externally, to support more effective delivery of poorly soluble or poorly permeable small molecules.
• Contribute to and help shape the strategic direction of Discovery Pharmaceutics, strengthening its role as a problem-solving partner for discovery teams and enabling seamless transfer of candidates to development.
• Advance the capabilities of the larger candidate optimization organization by developing scientific expertise that strengthens understanding of how physicochemical properties influence overall biopharmaceutical performance, with an emphasis on modeling and simulation.

Skills

Communication skills

Team player

Good written and verbal communication

Education

PhD in Pharmaceutics

MS in Pharmaceutics

Bachelors in related field

Tools

GastroPlus

Job description

Bristol Myers Squibb is seeking a Scientist, Pharmaceutics/Preformulation in San Diego to advance drug delivery strategies for small molecules in preclinical studies. The role emphasizes understanding physicochemical properties and designing enabling formulations to support discovery programs.

The successful candidate will apply AI-enabled approaches, contribute to strategic direction of Discovery Pharmaceutics, and work with interdisciplinary teams to accelerate candidate identification and