Scientist, CMC Quantitative Sciences (Biotechnology)

Location: 100% onsite in Norwood, Massachusetts, United States. Only individuals who qualify as U.S. persons are eligible due to U.S. export control requirements; non-U.S. persons cannot be sponsored for an export control license.

Salary: $109,200–$174,600 per year, with potential eligibility for an annual discretionary bonus, incentive compensation, or equity award.

Company

hirify.global develops mRNA technology and medicines through a biotechnology platform focused on scientific innovation and pharmaceutical development.

What you will do

• Plan and execute quantitative analyses, models, and data solutions supporting research, development, manufacturing, analytical, quality, and product lifecycle decisions.
• Translate scientific and business questions into analytical objectives, select appropriate methods, evaluate assumptions, and communicate conclusions and recommendations.
• Apply statistics, machine learning, predictive modeling, mechanistic modeling, data science, and data engineering methods.
• Lead defined projects and workstreams by coordinating contributors, managing timelines, and escalating technical or delivery risks.
• Build reproducible analyses, code, visualizations, reports, dashboards, pipelines, and analytical tools aligned with GxP expectations.
• Partner with scientific, engineering, manufacturing, quality, regulatory, and digital teams and contribute to technical reports and regulatory submissions.

Requirements

• PhD with 0–2 years, MS with 5–8 years, or BS with 8–10 years of experience in statistics, biostatistics, data science, applied mathematics, chemical engineering, biochemical engineering, or a related STEM discipline.
• Demonstrated depth in at least one quantitative discipline, including applied statistics, machine learning, predictive modeling, data science, mechanistic modeling, data engineering, or digital analytics.
• Proficiency with R, Python, SQL, and statistical software such as JMP, Statistica, or Minitab.
• Experience developing reproducible analyses and communicating methods, assumptions, limitations, results, and recommendations to cross-functional partners.
• Knowledge of ICH, FDA, EMA, WHO, GxP, GMP, data integrity, and risk-based decision-making principles.
• Must qualify as a U.S. person under U.S. export control laws; non-U.S. persons cannot be sponsored for an export control license.

Nice to have

• Experience with pharmaceutical or biotechnology development, analytical development, manufacturing, quality systems, or regulated laboratory environments.
• Experience developing, validating, or deploying machine learning, mechanistic, predictive, or multivariate models.
• Experience with MES, LIMS, OSI PI, SAP, DeltaV, Chromeleon, laboratory instruments, cloud data platforms, or internal applications.
• Experience building automated reports, dashboards, applications, data pipelines, or governed digital solutions.

Culture & Benefits

• In-person, site-based work with direct collaboration and mentorship.
• Healthcare and voluntary benefit programs, including fitness, mindfulness, and mental health support.
• Family planning support for fertility, adoption, and surrogacy.
• Paid vacation, volunteer days, sabbatical, global recharge days, and year-end shutdown.
• Savings and investment programs plus location-specific benefits.
• Smoke-free, alcohol-free, and drug-free work environment.