Scientific Business Analyst (Cheminformatics)

Location: San Francisco Bay Area, CA, USA; hybrid work with 2–3 days per week onsite

Company

hirify.global provides technology expertise and solutions for scientific and life sciences organizations.

What you will do

• Analyze and support small-molecule R&D, cheminformatics, compound analysis, and chemical research data management workflows.
• Support scientific data ingestion, processing, integration, troubleshooting, and recovery of failed workflows.
• Work with PK/TK/ADA and DMPK-related scientific data workflows.
• Support high-throughput experimentation, screening, and laboratory automation workflows.
• Gather requirements, analyze data flows, develop user stories, and manage stakeholders.
• Work directly with scientists and engineering teams to resolve application and scientific data issues.

Requirements

• Pharma or biotech R&D experience and a scientific background in chemistry, cheminformatics, computational biology, pharmacology, or a related field.
• Proven experience with small-molecule R&D workflows, including cheminformatics, compound analysis, or chemical research data management.
• Experience with scientific data ingestion, processing, integration, troubleshooting, and recovery of failed data workflows.
• Working knowledge of PK/TK/ADA and DMPK-related scientific data workflows.
• Experience with high-throughput experimentation, screening, or laboratory automation workflows.
• Familiarity with scientific analytics and cheminformatics platforms such as Spotfire, Dotmatics Vortex, and OpenEye/FastROCS, or comparable tools.
• Strong business analysis skills, including requirements gathering, data flow analysis, user stories, and stakeholder management.
• Experience working directly with scientists and engineering teams to resolve application and scientific data issues.

Nice to have

• Hands-on experience with Spotfire, Dotmatics Vortex, or OpenEye toolkits.
• Experience with large-molecule or biologics R&D workflows, including structural biology, protein design, or antibody engineering.
• Experience with peptide or monomer informatics.
• Advanced knowledge of PK/PD modeling or pharmacometrics.
• Familiarity with scientific computing and HPC workflows.

Culture & Benefits

• Remote or office work options, with this role specified as hybrid in the San Francisco Bay Area.
• Flexible working hours.
• Continuous education, mentoring, and professional development programs.
• Collaborative team with strong technical expertise.
• Competitive compensation.