Associate Director, Principal Architecture

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OBJECTIVES/PURPOSE

Takeda is a global, values-based, R&D-driven, top 10 biopharmaceutical leader committed to discovering and delivering life-transforming treatments, guided by our commitment to patients, our people, and the planet.

Our Data Sciences Institute (DSI) is made up of more than 500 experts who harness the insight of data and digital to speed the development of highly innovative treatments for patients. These data and digital experts (from statistics, programming, outcomes research and epidemiology, quantitative clinical pharmacology, digital strategy, library sciences, and data architecture/governance) bring their expertise to our global program teams and re-imagine our disciplines. They work with novel data streams, including real-world data and digital tools, and apply advanced analytics including artificial intelligence and automation.

As part of DSI, the Applied Data Sciences and Learning group is looking to add individuals who are curious, team-oriented, and collaborative technical members who have a strong interest in data technologies, data flow, data storage, and science-driven data analytics.

ACCOUNTABILITIES

An Associate Director of Data Development will:

• Determine bespoke data-driven projects through hands-on development of data engineering capabilities, exploration of new approaches to re-usable data engineering automation, and co-development of algorithms with R&D partner groups

• Lead team members in translating scientific and business questions into next-generation data and analytic services

• Seek out novel use cases within the R&D scientific organization, for the purpose of designing replicable, scalable, and secure manner for advanced data workflows

• Remove technological constraints from researchers, scientists, and other experts in R&D

• Seek out new perspectives and be proactive in opportunities to learn and apply skills and develop new talents

• Stay alert to industry trends, designs, and alternate views and approaches across technology, science, and operations

CORE ELEMENTS RELATED TO THIS ROLE

• Demonstrable history and capability in life/biological sciences, informing an understanding of the needs of groups in scientific endeavors and how technology may meet the requirements of specific avenues of experimentation

• A deep interest and affinity to explore alternative approaches and solutions when necessary to address unmet needs through logical and rigorous experimentation

• Experience in the use and application of software development, data engineering tools, toolkits, algorithms, and analytics to meet complex business needs

• Awareness of data architectures and analytic approaches, computing models, and data structures to include relational, NoSQL, and graph structures, modern software languages, data security models, analytic environments, and DevOps tools

DIMENSIONS AND ASPECTS

Technical/Functional (Line) Expertise

• Hands-on expertise in software development, development tools, algorithms, and technologies of data architectures, data engineering, and data science

• Familiarity with data architectures, big data designs, and emerging software architectures and services

• Experience with complex analytic areas with diverse data and high dimensionality in life sciences or similarly complex areas

Leadership

• Commitment to helping others to understand and apply data skills

• Initiative to explore, and lead novel technological seed approaches to scientific exploration

• Ability to understand and convey both ideas and data, verbally and in writing

• Effective team player who can work and provide mentorship to junior colleagues across functions, regions, and cultures

• Embrace and demonstrate a diversity and inclusion mindset and role model these behaviors for the organization

Decision-making and Autonomy

• Accountable for providing input to and implementing vision and strategy for designated scope

• Able to scope out software and design tasks

• Able to partner with other functions as well as individual projects and assignments

Interaction

• Effectively navigate the changing external and internal environment

• Ability to effectively implement R&D’s data engineering services

• Ability to grow relationships and collaborate effectively with other business and technical partner organizations

Innovation

• Forward thinking with the ability to recommend and implement organizational improvements and continuous innovation

• Able to challenge the status quo and bring forward innovative solutions

• Willingness to take risks implementing innovative solutions, accelerating time to market

• High potential to become an expert in life science data, computer science, and data governance

Complexity

• Ability to work in a global ecosystem (internal and external) with a high degree of complexity

• Familiarity with computer science, development, and algorithmic approaches to data engineering

• Ability to see and understand broader, enterprise-level perspective

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:

• Bachelor’s Degree in Computer Science, Life Sciences, or equivalent

• 10+ years experience or relevant project/coursework with significant experience in cloud-based architectures, algorithms, large-scale technical implementations, and interface design

• Up-to-date specialized knowledge of data engineering, manipulation, and management of technologies to affect change across business units to include an understanding of advanced methodologies of data and software development (life sciences experience preferred)

• Ability to manipulate voluminous data with different degrees of structuring across disparate sources to build and communicate actionable insights for internal or external parties.

• Strong communication skills to convey and engage with others information and observations

• Ability to work in an agile environment with high-quality deliverables

Base Salary Range: $143,500 to $205,000, based on candidate professional experience level. Employees may also be eligible for Short Term and Long-Term Incentive benefits as well. Employees are eligible to participate in Medical, Dental, Vision, Life Insurance, 401(k), Charitable Contribution Match, Holidays, Personal Days & Vacation, Tuition Reimbursement Program and Paid Volunteer Time Off.

The final salary offered for this position may take into account a number of factors including, but not limited to, location, skills, education, and experience.

This position is currently classified as “remote” in accordance with Takeda’s Hybrid and Remote Work policy.

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.