Product Manager/Associate Director, Disease Biology and PharmTox Product Line – Multimodal Integration and Biomarker Discovery
for section headings: e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to include sections only when posting has real specific content. We have content for About the role (the initial description), Responsibilities (Primary Responsibilities), Requirements (Education Minimum Requirement, maybe also Skill Sets?), Qualifications (maybe Preferred Experience And Skills?), Skills (Skill Sets, Required Skills, Preferred Skills?), Benefits (benefits description), Pay (salary range). Schedule not present, so omit. We must not include boilerplate like EEO, accommodation, etc. Remove duplicated lines, navigation, cookie, legal, EEO, scam-warning, application instructions. Also remove location line? It's metadata; we can fold minor metadata into a short
or drop it. Probably include location in a short
at top. We must preserve all substantive information; do not invent or summarize away detail. So we need to keep the detailed responsibilities list, skill sets, education, preferred experience, required skills, preferred skills, benefits, salary. We must not include placeholders like "commensurate with experience". Not present. We need to output only HTML fragment, no /, no markdown fences. Let's structure:
Location: Boston/Cambridge, NJ, PA
About the role
... paragraphs from job description up to "Primary Responsibilities:"? We'll include the descriptive paragraphs before Primary Responsibilities. Then
Responsibilities
- each bullet from Primary Responsibilities list. Need to capture each line. The list is long; we need to split by sentences starting with capital verbs? The text: "Set, own, and communicate the product vision, strategy, and outcome-based roadmap for digital capabilities supporting Disease Biology & PharmTox priorities, in partnership with R&D scientists, Business Technology Partners, and Product line leadershipDefine and prioritize the roadmap for multi-modal profiling capabilities that span early disease biology investigations and preclinical research, balancing scientific impact, user needs, strategic priorities, technical feasibility, risk, and investment requirements.Manage product investments and provide input into business cases, including expected value, delivery options, resource requirements, risks, dependencies, and total cost of ownership.Develop a cohesive strategy to manage an orthogonal suite of products and applications, maximizing impact while reducing costs and redundancy. Diligently manage total cost of ownership.Align digital capabilities and priorities across stakeholder groups and partners, including scientists, data scientists, lab operations, technology teams, and business leaders, to drive shared outcomes and reduce fragmented or duplicative solutions.Collaborate with platform product lines across Lab Operations and Data & Analytics to support multi-omics, pre-clinical and imaging workflows end to end, from data acquisition and ingestion through storage, processing, analysis, visualization, reporting, and reuse.Deeply understand user needs (scientists, data scientists, lab operations) through interviews, shadowing, and usage analyticsMap processes and information architecture to identify pain points and automation opportunitiesTranslate scientific and business needs into clear problem statements, product requirements, user stories, acceptance criteria, success measures, and Product Requirements Documents.Drive solution discovery and rapid prototyping with cross-functional teams to evaluate value, usability, feasibility, and business viabilityPrioritize features and trade-offs using impact, effort, and risk frameworks; manage backlog and release planningManage a portfolio of scientific applications and lead squads to build user-friendly scientific data and technology products; handle risk assessment and vendor engagement as neededEvaluate internal and external tools; Manage vendor relationships to influence roadmaps and integrate with internal systems and the data lakePartner with Product Tech leads/Engineering leads to ensure seamless integration across the ecosystem and upstream/downstream systemsApply industry standards and ontologies to develop FAIR (Findable, Accessible, Interoperable, Reusable) applications, advancing in silico models and AI/ML approaches for drug discoveryCreate and maintain documentation including SDLC deliverables (GxP and non-GxP), guidelines, SOPs, training materials, and user communicationsSupport regulatory audits and inspections, as needed, by collaborating with stakeholders and Quality to provide documentation and respond to inquiriesDrive adoption data-driven using metrics (synthesized from research, observations, and usage) and user feedback; analyze engagement, create reports/visualizations, and run user groups to inform continuous improvementPromote available capabilities to stakeholders, fostering collaboration and integration across teams to avoid silosMonitor the competitive landscape, standards, and emerging technologies in scientific software and data platformsCoach teams to adopt a customer-centered product mindset; proactively remove roadblocks and escalate issues to maintain momentum" We need to split into separate
- items. Likely each sentence separated by a period before a capital letter (except abbreviations). We'll approximate by splitting at each period followed by a space and capital letter. Let's manually list responsibilities as bullet points:
- Set, own, and communicate the product vision, strategy, and outcome-based roadmap for digital capabilities supporting Disease Biology & PharmTox priorities, in partnership with R&D scientists, Business Technology Partners, and Product line leadership
- Define and prioritize the roadmap for multi-modal profiling capabilities that span early disease biology investigations and preclinical research, balancing scientific impact, user needs, strategic priorities, technical feasibility, risk, and investment requirements.
- Manage product investments and provide input into business cases, including expected value, delivery options, resource requirements, risks, dependencies, and total cost of ownership.
- Develop a cohesive strategy to manage an orthogonal suite of products and applications, maximizing impact while reducing costs and redundancy. Diligently manage total cost of ownership.
- Align digital capabilities and priorities across stakeholder groups and partners, including scientists, data scientists, lab operations, technology teams, and business leaders, to drive shared outcomes and reduce fragmented or duplicative solutions.
- Collaborate with platform product lines across Lab Operations and Data & Analytics to support multi-omics, pre-clinical and imaging workflows end to end, from data acquisition and ingestion through storage, processing, analysis, visualization, reporting, and reuse.
- Deeply understand user needs (scientists, data scientists, lab operations) through interviews, shadowing, and usage analytics
- Map processes and information architecture to identify pain points and automation opportunities
- Translate scientific and business needs into clear problem statements, product requirements, user stories, acceptance criteria, success measures, and Product Requirements Documents.
- Drive solution discovery and rapid prototyping with cross-functional teams to evaluate value, usability, feasibility, and business viability
- Prioritize features and trade-offs using impact, effort, and risk frameworks; manage backlog and release planning
- Manage a portfolio of scientific applications and lead squads to build user-friendly scientific data and technology products; handle risk assessment and vendor engagement as needed
- Evaluate internal and external tools; Manage vendor relationships to influence roadmaps and integrate with internal systems and the data lake
- Partner with Product Tech leads/Engineering leads to ensure seamless integration across the ecosystem and upstream/downstream systems
- Apply industry standards and ontologies to develop FAIR (Findable, Accessible, Interoperable, Reusable) applications, advancing in silico models and AI/ML approaches for drug discovery
- Create and maintain documentation including SDLC deliverables (GxP and non-GxP), guidelines, SOPs, training materials, and user communications
- Support regulatory audits and inspections, as needed, by collaborating with stakeholders and Quality to provide documentation and respond to inquiries
- Drive adoption data-driven using metrics (synthesized from research, observations, and usage) and user feedback; analyze engagement, create reports/visualizations, and run user groups to inform continuous improvement
- Promote available capabilities to stakeholders, fostering collaboration and integration across teams to avoid silos
- Monitor the competitive landscape, standards, and emerging technologies in scientific software and data platforms
- Coach teams to adopt a customer-centered product mindset; proactively remove roadblocks and escalate issues to maintain momentum
That seems fine.
Next
Requirements
maybe include Education Minimum Requirement and Skill Sets? The instruction: Use headings for Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We have Education Minimum Requirement (M.A./M.S. with 3+ years, or B.A./B.S. with 5+ years...). That's a qualification. Skill Sets is a list of skills. Required Skills and Preferred Skills also. We could map: - Requirements: Education Minimum Requirement (maybe also Skill Sets? but Skill Sets is more like skills). We'll put Education under Requirements. - Qualifications: Preferred Experience And Skills (maybe also Preferred Skills?). We'll put Preferred Experience And Skills under Qualifications. - Skills: Skill Sets, Required Skills, Preferred Skills combined? Could be separate but we can combine under Skills heading with sublists? But we must use- for any list. Could have multiple
- under same heading.
We'll do:
- Experience as a scientist, Informatics Analyst, Imaging analyst or IT analyst in a drug discovery or development environment, specifically pre-clinical development area
- Experience using AI-powered product tools (e.g., for backlog refinement, requirements generation, user insights synthesis, prototyping)
- Familiarity with integrating AI-enabled tools into scientific workflows (e.g., data annotation, AI driven data entry)
- Ability to define and measure value for AI-driven features (e.g., accuracy, explainability, user trust, adoption)
- Experience supervising and mentoring team members
- Proficiency with data analytics/mining tools (e.g., R, Python)
- Familiarity with structured, relational databases and data integration.
- Skill in data visualization and dashboards with the ability to craft compelling data narratives (e.g. PowerBI)
- Experience working in Agile development environments
- Asset Management
- Benefits Management
- Management System Development
- Product Management
- Requirements Management
- Stakeholder Relationship Management
- Strategic Planning
- System Designs
- (list? Actually after Preferred Skills there is "Current Employees apply HERE Current Contingent Workers apply HERE" which is not a skill. The Preferred Skills section seems empty? The text: "Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE". That seems like placeholder. We should not include empty or placeholder. So we omit Preferred Skills if no actual skills listed. The text after that is about US And Puerto Rico Residents Only etc. So we skip Preferred Skills.
Thus Skills heading includes Required Skills only.
Next
Benefits
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits,
Requirements
Education Minimum Requirement: M.A./M.S. with 3+ years, or B.A./B.S. with 5+ years of experience in a scientific or technical discipline such as biology, pharmaceutical sciences, bioinformatics, computer science, biostatistics, biomedical engineering, or chemistry
Qualifications
Preferred Experience And Skills:
Skills
Required Skills
but we cannot use h4? Only h3 allowed for section headings. We could just make athen
- . We'll do:
Skills
Required Skills:
Preferred Skills:
- for any list. Could have multiple