Principal Scientist in Particulate Materials Characterization & Digital Sciences

Location: Hybrid role in Groton, Connecticut, United States. Applicants must have permanent authorization to work in the United States; U.S. work visa sponsorship is not available. Relocation support may be available based on business needs and eligibility.

Annual base salary: $106,000–$176,600, plus a 15% bonus target and eligibility for a share-based long-term incentive program.

Company

hirify.global is a pharmaceutical research and development company focused on developing medicines and vaccines.

What you will do

• Lead characterization methods for drug substances, excipients, intermediates, and drug products across particulate and bulk scales.
• Apply artificial intelligence, machine learning, and advanced analytics to complex experimental datasets.
• Develop automated and high-throughput characterization workflows integrated with digital laboratories and robotic platforms.
• Establish experimental data pipelines with process modelers and digital scientists.
• Connect material properties with process performance, product quality, manufacturing robustness, and development efficiency.
• Communicate findings through reports, presentations, publications, patents, and scientific forums.

Requirements

• PhD with at least 3 years of relevant experience, or MS with at least 9 years of relevant experience, in pharmaceutical sciences, chemical engineering, materials science, mechanical engineering, or a related field.
• Expertise in characterizing powders, particulate materials, granular systems, or related complex materials.
• Strong quantitative, analytical, problem-solving, organizational, and communication skills.
• Experience handling complex experimental datasets.
• A record of scientific publications, presentations, patents, or technology development.
• Permanent U.S. work authorization is required; visa sponsorship is not available.

Nice to have

• Experience developing characterization methods, instrumentation, or measurement workflows.
• Experience with AI, machine learning, laboratory automation, robotics, high-throughput experimentation, or digital laboratory solutions.
• Programming and data analysis experience with Python, R, MATLAB, or similar tools.
• Knowledge of statistical methods, Design of Experiments, multivariate data analysis, and predictive modeling.
• Experience with pharmaceutical manufacturing and multidisciplinary collaboration.

Culture & Benefits

• Hybrid work arrangement with no non-standard schedule, travel, or environmental requirements.
• Comprehensive medical, prescription drug, dental, and vision coverage.
• 401(k) with hirify.global matching contributions and an additional retirement savings contribution.
• Paid vacation, holidays, personal days, caregiver/parental leave, and medical leave.
• Participation in the Global Performance Plan and share-based long-term incentive program.