Sr Scientist I, Automation Development

About the role

The Molecular Profiling and Drug Delivery (MPDD) function within the Small Molecule CMC organization is accountable for a broad range of deliverables across various stages of drug discovery and development. During lead optimization and through candidates selection, MPDD scientists utilize state of the art automation and computational tools supported by expertise in biopharmaceutics, drug delivery, and solid-state chemistry to collaboratively progress candidates with higher probability of success into development and advise clinical formulation strategy. From candidate selection through clinical proof of concept and product launch, MPDD scientists work in cross functional teams to identify the commercial solid form of the active pharmaceutical ingredient (API) and establish structure-property-performance correlations to help deliver robust commercial processes and align control strategies across drug substance and product. They also transition drug substance isolation processes and relevant physical characterization methods to commercial manufacturing sites and work within teams to ensure successful regulatory submissions.

Responsibilities

• Contribute to the profiling of physiochemical properties, screening and development of preclinical formulations, and the advancement of platform workflows for emerging modalities of interest.
• Work closely with cross-functional partners across discovery and development sciences to build and optimize integrated capabilities that support faster, data-driven, more efficient pipeline progression.
• Develop and implement automated and data-enabled workflows that accelerate decision-making and improve throughput in early development sciences.
• Design and implement efficient, reproducible, and scalable laboratory processes.
• Generate, structure, and capture data in a consistent and traceable manner to support predictive modeling and AI/ML applications.
• Collaborate with data scientists, computational chemists, or informatics partners.

Requirements

• Bachelor's, Master's, or PhD in Pharmaceutical Sciences, Pharmaceutical Engineering, Chemical/Biomedical Engineering, Chemistry, or Materials Science with 10+ (B.S.), 8+ (M.S.), and 0-3 (Ph.D.) years of experience in pharmaceutical or related industry.
• Familiarity and preferred hands-on experience in physicochemical property assessment related to understanding CMC developability profile and potential risk mitigation strategies.
• Experience with experimental and automation techniques such as plate-based optical spectroscopy, liquid handler operation, custom scientific programming and scripting, machine learning and model-building concepts, HPLC, mass spectrometry, pXRD, optical microscopy, light scattering techniques, thermal analysis, and other biophysical characterization techniques.
• Hands-on experience in assay development, automation, and workflow optimization, with an ability to design and implement efficient, reproducible, and scalable laboratory processes.
• Strong understanding of physiochemical property profiling and its application to early developability assessment, including methods relevant to solubility, stability, and other compound attributes that inform pipeline decisions.
• Familiarity with preclinical formulation development and screening strategies, including support for enabling formulations for emerging or complex modalities.
• Familiarity with analytical, biophysical, and in vitro techniques used to generate high-quality data for early development decision making.

Qualifications

• Senior Scientist I typically requires Bachelors, Masters, or Ph.D. with 10+ (B.S.), 8+ (M.S.), and 0-3 (Ph.D.) years of experience in pharmaceutical or related industry.
• Preferred educational backgrounds include but are not restricted to Pharmaceutical Sciences, Pharmaceutical Engineering, Chemical/Biomedical Engineering, Chemistry, and Materials Science.
• Strong hands-on experience in assay development, automation, and workflow optimization, with an ability to design and implement efficient, reproducible, and scalable laboratory processes.
• Strong understanding of physiochemical property profiling and its application to early developability assessment, including methods relevant to solubility, stability, and other compound attributes that inform pipeline decisions.
• Experience with preclinical formulation strategies, workflow optimization, and enabling technologies for novel or complex modalities is highly desirable.

Skills

• Expertise in chemical automation, assay development, and integrated workflow design.
• Strong understanding of physiochemical property profiling and its application to early developability assessment.
• Experience with preclinical formulation strategies, workflow optimization, and enabling technologies for novel or complex modalities.
• Ability to generate, structure, and capture data in a consistent and traceable manner to support predictive modeling and AI/ML applications.
• Experience collaborating with data scientists, computational chemists, or informatics partners.

Benefits

• Paid time off (vacation, holidays, sick)
• Medical/dental/vision insurance
• 401(k)

Pay

Commensurate with experience.

Schedule

Full time