Director, Real-World Evidence Data Sciences Lead

Takeda•Boston, MA

15d•Hybrid

About The Position

OBJECTIVES/PURPOSE: The Real World Data Center of Excellence is meant to foster an environment that simplifies and accelerates collaboration-driven insights that enable data driven business decisions by bringing best practices and standardizing approaches to common questions involving real world data. The Director, Real-World Evidence Data Sciences Lead is responsible for managing the acquisition, processing, and curation of non-Takeda sourced observational RWD, including claims, disease registry, labs and electronic health/medical records (EHR/EMR) data. The role will manage a wide portfolio of data types, with a goal of supporting diverse analyses across Research & Development (R&D); will ensure data transfers follow quality standards; and will coordinate with other stakeholders in R&D to ensure acquisitions satisfy expected analysis plans. In addition, responsibilities include feasibility and exploratory analyses of the RWD, working with observational data sciences colleagues, and collaborating with stakeholders across Takeda, including epidemiologists, translational biologists, biomarker scientists, and biostatisticians. These analyses will provide a better understanding of disease natural history, incidence/prevalence, co-morbidities, treatment patterns, and health and safety outcomes in ‘real world’ patient populations, across a wide variety of serious and unmet diseases, resulting in a high impact to research and early development, clinical development pipeline, and marketed products.

Requirements

Advanced degree in Computer Science, Data Science, Life Sciences, Epidemiology, Bioinformatics, Clinical Informatics or similar technical fields
5-8 years relevant work experience with a focus on clinical, observational or RWE data management ingestion, curation, and analysis
Experience establishing and managing relationships with external vendors and organizations for the acquisition of observational RWD
Deep understanding of drug development and biopharmaceutical industry, with emphasis on role of observational RWE data
Experience using hardware and software used to curate, process and analyze data
Experience with scripting/coding languages (R, Python, Unix scripting, etc.)
Knowledge of data analysis and trending and familiarity with statistics
Strong project management skills, and ability to effectively lead, collaborate and communicate across diverse group of observational RWE data stakeholders (scientific, technical, operational)
High attention to detail including proven ability to manage multiple, competing priorities
Demonstrated ability to establish and manage effective business relationships with internal and external stakeholders
Comprehensive understanding of the pharmaceutical industry and drug development
Understand and enable analytic infrastructure, including CFR 11 certified software tools, semi-automated, validated SAS algorithms and a skilled data visualization team offer efficient delivery of research and rapid analytics
Demonstrated ability to work across functions, regions and cultures
Excellent communicator, able to persuasively convey both ideas and data, verbally and in writing
Proven skills as an effective team player who can engender credibility and confidence within and outside the company
Ability to distil complex issues and ideas down to simple comprehensible terms
Embraces and demonstrates a diversity and inclusion mindset and role models these behaviors for the organization
Effectively navigates the changing external and internal environment and leads others through change by creating and inspiring and engaging workplace
Cultivates a broad network of relationships throughout Takeda, with affiliates and external partners, in the industry and area of expertise.
Effectively represents function in negotiations with the ability to resolve conflict in a constructive manner
Ability to build strong relationships and collaborate effectively with other interfacing Takeda functions
Forward thinking with the ability to recommend, influence and implement organizational change and continuous innovation
Comfortable challenging the status quo and bringing forward innovative solutions
Ability to take risks implementing innovative solutions, accelerating time to market
Identifies opportunities and anticipates changes in the business landscape through an understanding and ongoing assessment of the environment affecting the business
Role models respect and inclusion, creating a culture that fosters innovation
Ability to work in a global ecosystem (internal and external) with a high degree of complexity
Deep expertise required
Ability to see and understand broader, enterprise level perspective

Responsibilities

Develop and implement enterprise RWE strategies to efficiently address business needs.
Collaborate internally and externally to address RWE needs and advise on unmet data needs
Strengthen partnerships with stakeholders within the organization and externally with platform vendors, RWE innovators, FDA etc.
Act as a knowledge developer and repository around observational studies, FDA policies, publications etc related to RWE.
Be at the forefront of advanced technologies like Gen-AI/agentic AI and their applications of Real-World Data.
Collaborate with external vendors, Takeda partners, and external organizations responsible for collecting the data
Ensure data transfers follow quality standards and coordinate with other stakeholders in R&D to ensure acquisitions satisfy expected analysis plans
Define and implement data transfer, quality control and curation processes, and maintain the data quality pipeline
Collaborate with other team members to ensure consistency of quality control methods and processes across disparate types of data sourced external to Takeda
Conduct analyses pertaining to the application of the observational RWE data for diverse stakeholders, including Epidemiology, Value & Access, Translational Biology, Biomarkers; these include specific epidemiology, health outcomes and other observational studies to better understand disease natural history, incidence/prevalence, co-morbidities, treatment patterns, and health and safety outcomes in ‘real world’ patient populations
Advise on the associated analyses plans using information developed in the execution of the data quality pipelines
Ensure information is surfaced to ensure the externally sourced data is fit for purpose
Develop systems, processes and tools (pipelines) which impact enterprise use of our data assets and confirm data quality
Lead global organizational RWD transparency and education by delivering learning modules on relevant dimensions for users’ qualifications

Benefits

U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others.
U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

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