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TakedaPharmaceutical Nordics AB · 3 days ago

Director, Real-World Evidence Data Sciences Lead

Boston, MA

Full-time

Hybrid

Lead/Staff, Director/Executive

$174K/yr - $274K/yr

5+ years exp

Takeda Pharmaceutical Nordics AB is focused on fostering collaboration-driven insights through its Real World Data Center of Excellence. The Director, Real-World Evidence Data Sciences Lead will manage the acquisition and curation of observational real-world data to support diverse analyses across Research & Development, ensuring data quality and collaborating with various stakeholders.

Pharmaceuticals

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

Qualification

Real-World Evidence (RWE)Data managementObservational studiesScripting languagesData analysisProject managementRelationship managementCollaborationCommunicationAttention to detail

Required

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

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