Discovery Research Domain Analyst, IT Business Analyst

Jobtailor; Massachusetts; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor is hiring a data/business analyst to bridge life sciences and informatics in early drug discovery. You will document scientific workflows, write clear user stories, and partner with IT and research teams to deliver data-driven capabilities.

You will map processes, ensure data governance, and contribute to predictive AI-informed research while growing knowledge of Pharmaceutical R&D and data platforms.

Qualifications

• B.S. or M.S. in a relevant life sciences, informatics, data, or technical discipline; advanced degree a plus
• Practical experience or strong academic grounding in early life sciences domains
• Interest in Molecular Invention research areas such as Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, or related fields
• Familiarity with Research workflows in pharmaceutical or biotech settings
• 2+ years of experience in IT, informatics, data analysis, business analysis, or a scientific data-focused role
• Ability to collaborate effectively with scientific and technical teams while following established processes
• Analytical problem-solving skills to organize information, identify patterns, document issues, and recommend practical next steps
• Ability to learn new tools and adapt in a dynamic environment
• IIBA Certification or similar Business Analysis Certification is a plus
• Familiarity with data product development, data modeling, data governance, analytics, or modern research data platforms
• Strong communication and collaboration skills
• Good stakeholder engagement skills

Responsibilities

• Support innovation in early drug discovery through data
• Analyze, document, test, and improve data solutions enabling predictive and AI-informed research
• Work with Research stakeholders to understand scientific data workflows and document business requirements
• Translate scientific needs into user stories, acceptance criteria, process notes, and IT/engineering requirements
• Support demand intake and analysis by mapping workflows, identifying friction points, and escalating risks or open questions
• Represent researcher context in product discussions and help validate delivered capabilities against defined needs
• Collaborate with Data Engineers on data collection, testing, validation, issue tracking, and continuous improvement
• Maintain field-level metadata, business glossaries, and FAIR-aligned documentation
• Support alignment of identifiers, terminology, and definitions across Molecular Invention data sources
• Participate in stakeholder conversations, summarize feedback, clarify expectations, and build trust in data products
• Monitor industry practices and emerging approaches to scientific data challenges
• Communicate decisions, risks, and follow-ups to scientific and technical audiences
• Develop business analysis, data literacy, AI/ML awareness, and Pharmaceutical R&D knowledge

Skills

Data Modeling

Data Governance

Analytics

Predictive Research

AI/ML Awareness

Education

B.S./M.S. in life sciences, informatics, data or technical discipline

Advanced degree a plus

Tools

Research Data Platforms

Data Collection Tools

Issue Tracking Systems

Job description

• Support innovation in early drug discovery through data
• Analyze, document, test, and improve data solutions enabling predictive and AI-informed research
• Work with Research stakeholders to understand scientific data workflows and document business requirements
• Translate scientific needs into user stories, acceptance criteria, process notes, and IT/engineering requirements
• Support demand intake and analysis by mapping workflows, identifying friction points, and escalating risks or open questions
• Represent researcher context in product discussions and help validate delivered capabilities against defined needs
• Collaborate with Data Engineers on data collection, testing, validation, issue tracking, and continuous improvement
• Maintain field-level metadata, business glossaries, and FAIR-aligned documentation
• Support alignment of identifiers, terminology, and definitions across Molecular Invention data sources
• Participate in stakeholder conversations, summarize feedback, clarify expectations, and build trust in data products
• Monitor industry practices and emerging approaches to scientific data challenges
• Communicate decisions, risks, and follow-ups to scientific and technical audiences
• Develop business analysis, data literacy, AI/ML awareness, and Pharmaceutical R&D knowledge

Requirements

• B.S. or M.S. in a relevant life sciences, informatics, data, or technical discipline; advanced degree a plus
• Practical experience or strong academic grounding in early life sciences domains
• Interest in Molecular Invention research areas such as Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, or related fields
• Familiarity with Research workflows in pharmaceutical or biotech settings
• 2+ years of experience in IT, informatics, data analysis, business analysis, or a scientific data-focused role
• Relevant graduate research or internship experience may be considered
• Ability to collaborate effectively with scientific and technical teams while following established processes and seeking guidance when needed
• Analytical problem-solving skills to organize information, identify patterns, document issues, and recommend practical next steps
• Ability to learn new tools and adapt in a dynamic environment
• IIBA Certification or similar Business Analysis Certification is a plus
• Familiarity with data product development, data modeling, data governance, analytics, or modern research data platforms
• Strong communication and collaboration skills
• Good stakeholder engagement skills

Core Competencies

Demonstrates expertise in data analysis, business analysis, and scientific data workflows, with a strong foundation in life sciences and informatics. Capable of translating scientific needs into actionable requirements while fostering collaboration between research and technical teams.

Highest-signal resume keywords

• Data Analysis
• Business Analysis
• Scientific Data Workflows
• Collaboration with Data Engineers
• Molecular Invention Research

Hard Skills

• Data Modeling
• Data Governance
• Analytics
• Predictive Research
• AI/ML Awareness

Soft Skills

• Analytical Problem-Solving
• Strong Communication
• Stakeholder Engagement
• Collaboration Skills

Certifications & Qualifications

• IIBA Certification
• Business Analysis Certification

Industry Keywords

• Pharmaceutical R&D
• Biologics
• Protein Engineering
• Antibody Discovery
• Chemistry

Tools & Technologies

• Research Data Platforms
• Data Collection Tools
• Issue Tracking Systems