Senior Business Analyst – Biologics Discovery Platform

AstraZeneca • Cambridge, MA

3d • $153,018 - $229,528 • Hybrid

About The Position

Based in Kendall Square, Massachusetts, the Senior Business Analyst connects biologics discovery scientists with scalable digital platforms that accelerate discovery and improve speed, quality, and reproducibility. The role partners with Biologic Engineering scientists, senior leaders, program managers, and cross-functional teams to shape business cases, define requirements, and coordinate laboratory and data-flow automation. It ensures solutions meet quality and compliance standards, integrate across teams, and deliver measurable value. The position operates with autonomy, aligns teams worldwide, mentors Business Analysts, and embeds Scaled Agile practices to take initiatives from idea to delivery.

The role owns and prioritizes the team backlog and demand for laboratory and data-flow automation, supporting AI-ready pipelines. It elicits and translates needs into epics, user stories, and acceptance criteria; shapes product visions and multi-quarter roadmaps; and balances immediate delivery with scalable platform outcomes. It maps processes and data flows, supports traceability, testing, release quality, risk management, and decision-making, and coordinates dependencies across discovery labs, data and AI teams, automation engineering, and platform technology groups. It also mentors colleagues and contributes shared playbooks, templates, and communities of practice.

The position is based on an average expectation of at least three days per week in the office, with flexibility. The annual base pay range is $153,018.40 to $229,527.60. The role offers a short-term incentive bonus opportunity and, for salaried roles, eligibility to participate in an equity-based long-term incentive program. Benefits include a qualified retirement program (401(k)), paid vacation and holidays, paid leaves, and medical, prescription drug, dental, and vision coverage, subject to plan terms and conditions.

Requirements

• At least 6 years of experience working with complex integrated systems; molecular biology and antibody discovery experience in a pharmaceutical research organization is preferred.
• Bachelor's degree or equivalent experience; a relevant field is preferred.
• Demonstrable experience deploying business analysis tools and techniques to enable business change.
• Adept at virtual collaboration to lead, shape, and develop innovative solutions.
• Experience shaping product visions, defining value hypotheses, outcomes, and success metrics, and balancing short-term delivery with long-term platform scalability.
• Strong engagement, communication, and collaborator-management skills across scientific and IT partners.
• In-depth knowledge of computational and experimental techniques used within biologics discovery.
• Ability to analyze and document end-to-end data flows, including profiling, mapping, and how data is analyzed.
• Ability to manage significant risk, make complex judgments, develop innovative solutions, and apply comprehensive multifunctional and industry understanding.

Nice To Haves

• Experience with Atlassian-based software management tools such as Jira and Confluence.
• Comfort with low-fidelity prototyping, journey mapping, and usability testing to ensure solutions fit scientist workflows.
• Contracting and vendor governance experience, including developing measurable acceptance criteria and governing vendors against outcomes rather than activity.
• Understanding of lab automation ecosystems, including scheduling, liquid handlers, plate readers, and flows of instrument data into ELN/LIMS and analytics.
• Good understanding of industry technology trends regarding Agentic AI.

Responsibilities

• Own and prioritize the team backlog and establish demand management for lab and data-flow automation.
• Facilitate workshops and partner interviews across target identification, screening, and lead optimization; translate needs into epics, user stories, and acceptance criteria.
• Partner with scrum masters to refine backlogs, prioritize value, convert user stories into implementable tasks, and embed Scaled Agile practices.
• Map and maintain end-to-end processes to support clarity, compliance, and reproducibility; champion measurable continuous improvement.
• Shape multi-quarter roadmaps and prioritize initiatives through value, risk, and dependency analysis aligned with discovery landmarks and portfolio goals.
• Build relationships across discovery science, platforms, data and analytics, and engineering; provide status reporting, decision logs, and alignment forums.
• Structure ambiguous scientific and operational challenges into problem statements, options, and decision frameworks; present quantified trade-offs to inform senior decisions.
• Maintain traceability from business objectives through user stories, acceptance criteria, test cases, and release notes for compliant, auditable delivery.
• Coordinate across discovery labs, data and AI teams, automation engineering, and platform technology groups to manage dependencies and deliver integrated solutions.
• Maintain risk registers, conduct scenario analyses, and recommend critical issues based on evidence and quantified outcomes.
• Mentor Business Analysts and scientists in requirements hygiene, story writing, and value tracking; contribute playbooks, templates, and communities of practice.

Benefits

• Short-term incentive bonus opportunity.
• Eligibility to participate in an equity-based long-term incentive program for salaried roles.
• Qualified retirement program (401(k) plan).
• Paid vacation and holidays.
• Paid leaves.
• Medical, prescription drug, dental, and vision coverage.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior