Product Manager, Predictive & Translational Modeling, Disease Biology & PharmTox Product Line

Job Description

Location: PA NJ Boston/Cambridge

The Research and Development Sciences (RaDS) value team in R&D IT brings together product management engineering and data science expertise. We enable data technology and services that accelerate our scientists ability to discover and develop innovative medicines that change the course of human health. In the RaDS value team the Product organization is responsible for implementing capabilities and associated services to advance the drug discovery and development pipeline. Our IT team operates as a business partner proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver the services and solutions that help everyone to be more productive and enable innovation.

We are seeking a motivated and talented Product Manager to join the RaDS Product organization. The position will report to theLead of the Disease Biology and PharmTox Product Line. The ideal candidate will partner closely with key business stakeholders the product engineering data science and other IT teams to leverage advanced computational modeling and simulation tools to support pharmaceutical researchers in predicting drug behavior improving decision-making and accelerating the path to market. The goal of this product is to provide tools and integrated platforms that supports the modeling simulation and analysis of complex biological pharmacokinetic and pharmacodynamic systems.

Primary Responsibilities:

Problem discovery and strategy

• In close partnership with our Research & Development Division scientists and Business Technology Partners set the vision strategy and roadmap for critical squads working on business-critical problems
• In accordance with strategic priorities advance development of Predictive and Translational Modeling tools.
• Participate in Problem Discovery to identify & prioritize problems provide high level solutioning and draft associated epics and key results.
• Utilize process maps Information architecture and design-thinking methodologies to clarify problem space understand pain points and identify gaps and IT automation opportunities for research workflow optimization and productivity improvement
• Synthesize data observations and other research into insights to help inform product strategy and decisions using data driven approaches.
• Create a cohesive strategy to manage an orthogonal suite of products and applications by maximizing impact and reducing costs and redundancy.
• Actively promote available capabilities to stakeholder groups ensuring collaboration and integration across teams to prevent the establishment of silos.
• Facilitate informed decisions regarding application renewals and related activities working closely with scientific partners.

Product discovery user experience and business analysis

• Conduct product discovery activities and rapid prototyping with scientific partners user experience researchers engineers and data scientists to assess value risk usability risk feasibility risk and business viability risk.

• Conduct assessments of internal and external tools. Work with external vendors of predictive and modeling and simulation tools supporting pre-clinical and non-clinical development and data to assess opportunities and facilitate integration with internal tools and data lake.

• Use tools and analytical methods to compute success metrics understand user engagement and identify trends; develop reports and visualizations to communicate findings
• Ensure that value and user experience are measured and achieved by utilizing your expertise in scientific processes analytics and deep understanding of stakeholders needs.

Product development leading squads and maintaining product lifecycle

• Manage scientific applications and lead squads to build user-friendly scientific data and technology products. Perform other product related duties (e.g. risk assessment and vendor engagement) as needed.
• Collaborate closely with the product tech lead to provide strategic guidance ensuring that tools fit seamlessly within the companys ecosystem and are effectively integrated with upstream and downstream tools.
• Utilize industry-wide standards and ontologies to enable building applications that are findable accessible interoperable and reusable with an ultimate goal of building in silico models and applying AI/ML approaches for accelerating drug discovery
• Create and maintain the required documentation including Software Development Lifecycle (SDLC) deliverables (GxP and non-GxP) guidelines standard operating procedures (SOPs) training materials and user communication notes with the focus on driving consistency of documentation across the product teams
• Be accountable for managing and evolving roadmap for key capabilities and initiatives within the product. Prioritize and maintain associated product backlogs in alignment with our strategic goals.
• Coach the cross-functional team guiding and empowering them to embody the product mindset with a focus on customers and scientific problems.
• Effectively escalate and resolve issues removing roadblocks for the team and engaging cross-functional experts as necessary to facilitate progress.
• Actively participate in regulatory audits and inspections in close collaboration with business stakeholders and the Quality unit providing necessary documentation and addressing any regulatory inquiries.

Skill sets:

• Highly collaborative problem solver with 5 years of experience working with scientific software development Pharmaceutical sciences Quantitative systems pharmacology Model-Based Drug Development or scientific data management.
• Experience leading cross-functional teams launching and managing software products defining user stories and working to ensure development of products based on business requirements.
• Good understanding of the Model-Based Drug Development (MBDD) Pharmacokinetic/Pharmacodynamic modeling and pre-clinical development domain and processes. Record of successful evaluation and implementation of new technologies.
• Has managed and/or implemented modeling tools and workflows including COTS (Commercial Off the Shelf) internally-developed and/or open source products.
• Well-versed with software development life cycle (SDLC) ability to communicate technically with development teams and experienced with Agile Development Principles; Experience working in a GxP environment
• Ability to work in a team of multidisciplinary scientists and IT personnel and operate effectively in a matrix environment with a customer centric attitude.
• Proficient in engaging with development teams using technical language while also effectively communicating with business stakeholders to ensure a clear alignment between business needs and technical solutions.
• Familiarity with Visio or similar information modeling tools
• Familiarity with product management and Ux tools such as Jira Confluence Mural Figma Balsamiq etc.
• Familiarity with databases ontologies and data standards/models relevant to drug discovery space.
• Record of working independently asynchronously (across time zones) and with excellent communication skills that cross culture/geographic/organizational boundaries.
• High level of organization and attention to detail. Good time management skills as well as demonstrated project management ability.
• Excellent written and oral communication skills

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 computer science biostatistics biomedical engineering chemistry)

Preferred Experience and Skills:

• Professional experience working as a scientist Informatics Analyst or IT analyst in a drug discovery or development environment specifically quantitative systems pharmacology
• Prior scientific programming experience
• Experience with one or more data analytics and data mining programming tools such as R Perl Python Matlab etc.
• Familiarity with relational databases (SQL Oracle PostgreSQL). Data integration experience
• Familiarity with informatics workflows/pipelines/tools development and knowledge graphs
• Familiarity with computational platforms high performance clusters cloud computing environments & applications.
• Experience with data visualization and dashboarding tools (Spotfire R-Shiny PowerBI etc.) and demonstrate storytelling ability with data
• Previous work experience in Agile-based development

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