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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 Real-World Evidence Data Sciences Lead is responsible for feasibility/exploratory analyses and complex analyses of real-world data in support of study/protocol design and evidence generation activities within Global Evidence and Outcomes. They will collaborate closely with stakeholders across Takeda, including global evidence and outcomes, epidemiologists, clinical sciences, translational biologists, 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.
ACCOUNTABILITIES:
Perform feasibility/exploratory/complex analyses leveraging RWE platforms like Panalgo IHD, and querying the patient-level Real-World Data in the data warehouse.
Develop and implement enterprise RWE strategies to efficiently address business needs.
Collaborate with SQS colleagues to implement the best statistical methods in support of the studies.
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.
CORE ELEMENTS RELATED TO THIS ROLE:
Conduct analyses pertaining to the application of the observational RWE data for diverse stakeholders, including GEO, clinical sciences, GDO and GPT. 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 from the real-world datasets
Ensure information is surfaced to ensure the externally sourced data is fit for purpose
Learn and implement the latest innovations around analyzing real-world data including how to mitigate confounding bias, perform better causal inferences and phenotyping using advanced technology including AI/ML, Gen AI and deep learning.
DIMENSIONS AND ASPECTS:
Technical/Functional (Line) Expertise
Comprehensive understanding of the pharmaceutical industry and drug development
Comprehensive understanding of RCTs and observational studies and real-world evidence strategies in support of the dossier.
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
Leadership
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
Interaction
Effectively navigates the changing external and internal environment and leads others through change by creating an 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.
Innovation
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
Complexity
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.
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
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
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
Experience developing and implementing process and data standards
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
Takeda Compensation and Benefits Summary
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
For Location:
Boston, MA
U.S. Base Salary Range:
$153,600.00 - $241,340.00
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
U.S. based employees may be eligible for short-term and/ or long-term incentives. 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.
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
Boston, MA
Employee
Regular
Full time
Job Exempt
Yes
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
