Senior Scientist (Genomic Medicine BioAnalytics Characterization)

Location: Waltham, Massachusetts, United States; onsite

Salary: $100,500–$145,166 per year

Company

hirify.global is an R&D-driven biopharmaceutical company developing medicines and vaccines through immunoscience, advanced analytics, AI, data, and digital platforms.

What you will do

• Develop characterization strategies for gene therapy candidates, including viral vectors and nonviral particles.
• Use LC-MS platforms to profile host-cell protein clearance, quantify impurities, and support CMC product development.
• Establish HCP method detection limits and precision, and oversee method transfer and comparability for automated sample preparation.
• Apply LC-MS proteomics to study differential protein expression in cell lysates and support cell culture process development.
• Develop methods for RNA impurity determination, oligonucleotide mapping, peptide mapping, and comprehensive product characterization.
• Build automated data workflows, author technical and regulatory documentation, and present findings in scientific forums.

Requirements

• Ph.D. in biochemistry, chemistry, or a related life-science field, or an M.S. with 4+ years of industry experience.
• Extensive LC-MS experience in protein characterization, identification, and quantitation.
• Experience with Thermo and/or AB Sciex instruments.
• Proficiency with peptide mapping or proteomics software such as Spectronaut, Genedata Expressionist, Protein Metrics, Skyline, or Proteome Discoverer.
• Demonstrated success implementing novel analytical technologies, with strong organizational, problem-solving, communication, and collaboration skills.
• Ability to work onsite in Waltham, Massachusetts, United States.

Nice to have

• Experience with automation and AI-driven analytical workflows.
• Previous genomic medicine experience; dedicated onboarding and training are available for candidates without it.

Culture & Benefits

• Supportive, future-focused environment with opportunities for promotion or lateral career moves.
• Health and wellbeing benefits, including healthcare, prevention, and wellness programs.
• At least 14 weeks of gender-neutral parental leave.
• Work at the forefront of drug discovery using AI, data, and digital platforms.
• Rewards package and employee benefit programs.