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By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge.Job DescriptionJob/Position:New Existing HybridJob Code: USA60100207BU/Organization:Research & DevelopmentDepartment:Data Sciences Institute / Applied Data Science & Learning / Insights & AnalyticsLocation:Boston, HybridRole: Data Scientist, Insight & AnalyticsGlobal ReportingLevel (CEO=1): USA - MA - Cambridge HierarchyLine Manager’s Job/Position Title: Director, Data & AnalyticsOBJECTIVES/PURPOSE (3-4 bullets, previously captured under scope)Data Scientists within the Insights & Analytics team of the Applied Data Sciences & Learning organization will be accountable for driving the development of descriptive, predictive & prescriptive analytics to generate insights to solve challenging business problems. Data Scientists will work with multi-disciplinary teams to understand business needs and develop analytic & model outputs that are translatable into actionable business insights. This is a hands-on role, and the successful candidate must be comfortable working in an agile environment and capable of leading delivery at pace.SCOPE (complete below, as it applies to role)Financial:Est. annual revenue range of accountability:Oku YenEst. annual budget of responsibility:Oku YenLeadership/People:No. of direct reports: 0No. of indirect reports:Geographic Scope :Global:XRegional:Country (-ies):if applicableACCOUNTABILITIES (Describe the primary duties and responsibilities of the job. Include only the essential functions of the job. Approximately 5 – 10 bulleted task statements should be identified).Collaborate with a diverse set of users and partners across multiple functions to translate unstructured, complex business problems into appropriate data, modelling and analytical solutions.
Lead innovation projects through the data, analytics & machine learning lifecycle.
Clearly and objectively communicate results, as well as their associated limitations.
Apply and maintain methods, techniques and developments in analytics and data science.
Mentor and support other data scientists across multiple projects to drive the development of data science as a capability.
Develop & review working practices to ensure that data science work is delivered to robust quality standards.
CORE ELEMENTS RELATED TO THIS ROLE (Describe what is critical and/or what differentiates this role).2-6 years of experience in data science in the Life Sciences sector (Pharmaceutical / biotech. / medical device companies, healthcare payers and providers etc.) working with data from varied sources and types (RCTs, RWD, Digital devices, imaging, audio etc.). Level flexibility available based on experience.
Expertise in data cleaning, & pre-processing methods to normalize data.
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.
Expertise in one or several areas of AI (natural language processing, graph theory etc.).
Familiarity with deep learning frameworks, such as TensorFlow or PyTorch.
Understanding of algorithm design, development, optimization, scaling and application.
Excellent written and verbal communication, business analysis, and consultancy skills.
DIMENSIONS AND ASPECTSTechnical/Functional (Line) Expertise (Breadth and depth of knowledge, application and complexity of technical knowledge)Comprehensive understanding of the Life Sciences sector (Pharmaceutical / biotech. / medical device companies, healthcare payers and providers etc.).
Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change)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
Embraces and demonstrates a diversity and inclusion mindset and role models these behaviors for the organization
Invests time in helping others to enhance their skills and perform at a higher level
Decision-making and Autonomy (The capacity and authority to make organizational decisions, autonomy in decision-making, complexity of decisions, impact of decisions, problem-soliving)Decision making responsibilities:
Ability to seek diverse input from multiple constituents and stakeholders to drive innovative solutions
Interaction (The span and nature of one’s engagement with others when performing one’s job, internal and external relationships)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 (The required level of scientific knowledge, knowledge sharing, innovation and risk taking)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.
Complexity (Products managed, mix of businesses, internal and/or external business environment, cultural considerations)Ability to work in a global ecosystem (internal and external)
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: (List the essential and desirable education and competency requirements to perform the primary responsibilities of the job. Any minimum requirements should be noted.)Essential Requirements:Bachelor’s degree in Computer Science, Math, Engineering, or another quantitative field.
Desirable:Masters / PhD. in Computer Science, Math, Engineering, or another quantitative field.
ADDITIONAL INFORMATION (Add any information legally required for your country here)Date:25May2022Completed by: Iksha HerrFor HR use only:Legacy Organization:Legacy Level/Role:EEO StatementTakeda 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.LocationsBoston, MAWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time
Vacancy expired!