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Job Description

Objectives:

Associate Directors/Directors within the Insights & Analytics team of the Applied Data Sciences & Learning organization will work with multi-disciplinary teams within a functional area to understand business needs and provide strategic and technical leadership in building descriptive, predictive, and prescriptive analytic solutions that are translatable into actionable business insights.

Accountabilities:

• Collaborate with a diverse set of users and partners to translate unstructured, complex business problems to identify core problems.

• Design & plan solutions that address these core problems by utilizing appropriate data, modelling and analytical plans.

• Oversee the operational activities related to the implementation of these data, modelling and analytical plans.

• Oversee the ingestion and classification of data from diverse sources, including clinical trials, electronic health records, insurance claims, patient registries, medical devices etc.

• Oversee activities related to research and development of models and methods to guide and influence decision-making within a functional area (e.g. Real World Data / Evidence (RWD/E), medical imaging & other unstructured data sets, operational data (finance, manufacturing, supply chain etc.)

• Partner with domain experts to translate modeling outputs into business language.

• Partner with technology resources to enable rapid prototyping to inform the design of analytical products.

• Support the adoption of analytic products through effective storytelling and collaboration with key partners.

• Lead, coach, and mentor a team of Data Scientists & Analysts.

• Build external alliances to assess and share industry trends across the R&D organization.

Core Elements Related to this Role:

Director :

• 10+ years of experience in the in the Life Sciences sector (Pharmaceutical / biotech. / medical device companies, healthcare payers and providers etc.).

• 5 - 7 years of experience in working with data from clinical trials and associated standards, vocabularies etc.(CDISC, MedDRA, LOINC etc.)

• 4 - 5 years of experience in working with data from any of the following sources and types:

• RWD, digital devices, imaging, audio, operational data (finance, manufacturing, supply chain).

• 5+ years of experience in managing (line-management or matrixed) analytic teams with varied skill sets (statistics, epidemiology, data science, machine learning, data management etc.).

Associate Director :

• 7+ years of experience in the in the Life Sciences sector (Pharmaceutical / biotech. / medical device companies, healthcare payers and providers etc.).

• 3 - 5 years of experience in working with data from clinical trials and associated standards, vocabularies etc.(CDISC, MedDRA, LOINC etc.)

• 3 - 4 years of experience in working with data from any of the following sources and types:

• RWD, digital devices, imaging, audio, operational data (finance, manufacturing, supply chain).

• 5+ years of experience in managing (line-management or matrixed) analytic teams with varied skill sets (statistics, epidemiology, data science, machine learning, data management etc.).

Associate Director/Director:

• Excellent data & analysis-focused understanding of any/all of the following therapeutic areas: Oncology, Gastrointestinal & Inflammation, and Neurosciences

• In-depth understanding and experience in utilizing the data / software development life-cycle management processes

• Extensive experience with database querying (SQL), manipulating and analyzing large, high dimensional, structured, & unstructured datasets.

• Experience in code management, version control, cloud computing infrastructure (e.g., AWS).

• Expertise with programming languages (Python, R, Julia etc.) and visualization tools.

• Proficiency with unsupervised, supervised, & reinforcement machine learning methods

• Understanding of algorithm design, development, optimization, scaling and application.

• Excellent written and verbal communication, business analysis, and consultancy skills.

• Ability to effectively interact with and influence all levels of management.

• Experience working in Cloud Computing environments (e.g., AWS, Azure, etc.), using project management tools & technology, Agile development framework.

Dimensions and Aspects:

Technical/Functional (Line) Expertise:

• Comprehensive understanding of the Life Sciences sector (Pharmaceutical / biotech. / medical device companies, healthcare payers and providers etc.).

Leadership:

• Demonstrated ability to work across functions, regions and cultures

• Functional level leadership with the ability to inspire, motivate and drive results

• 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

• Demonstrates leadership presence and confidence

• Embraces and demonstrates a diversity and inclusion mindset and role models these behaviors for the organization

• Builds teams across functions and geographies with individuals who have the right skills and experience to deliver on key organizational initiatives.

• Invests time in helping others to enhance their skills and perform at a higher level

Decision-making and Autonomy:

• Decision making responsibilities:

  • Provide input to highly complex decisions that impact the functional area

  • Ability to seek diverse input from multiple constituents and stakeholders to drive innovative solutions

Interaction:

• Cultivates a broad network of relationships throughout Takeda, with affiliates and external partners, in the industry and area of expertise.

• Ability to build strong relationships and collaborate effectively with other interfacing Takeda functions

Innovation:

• Comfortable challenging the status quo and bringing forward innovative solutions

• 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

• Ability to see and understand broader, enterprise level perspective

Education, Behavioral Competencies and Skills:

Essential Requirements:

• Master’s degree in Computer Science, Math, Engineering, or another quantitative field.

Desirable:

• PhD. in Computer Science, Math, Engineering, or another quantitative field.

• Experience in novel methods development and application.

Base Salary Range: $143,500.00 to $205,000.00. Employees may also be eligible for Short Term and Long-Term Incentive benefits. 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.

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.

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