• Takeda Pharmaceuticals International GmbH
  • $92,710.00 -141,170.00/year*
  • Middleboro , MA
  • Information Technology
  • Full-Time
  • 25 Wood St


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Takeda fosters a collaborative and stimulating work environment filled with opportunity and the chance to make a difference in people's lives. It is a workplace driven by integrity, one of Takeda ??s long-held values that extends to both the patients we serve and our employees who develop and deliver medicines. Across our company, Takeda employees bring together diverse strengths that together create a stronger whole. As one of the world ??s leading biopharmaceutical companies, Takeda is committed to bringing Better Health and a Brighter future to people worldwide. We aspire to bring our leadership in translating science into life-changing medicines to the next level, in our core focus areas; oncology, gastroenterology, neuroscience, rare diseases, plasma-derived therapies, and vaccines. We are a passionate team doing important work that impacts patients ?? lives. If you are driven to create better health and a brighter future, join us! What makes a successful member of our team? Check out the traits we ??re looking for and see if you have the right mix. Recognized for our culture and way of working, we ??re one of only select companies to receive Top Global Employer status for 2019. Since 1781, the values of Takeda-ism (Integrity, Fairness, Honesty, and Perseverance) have guided everything we do ??from decision-making to interacting with patients. Recognized for our culture and way of working, we ??re one of only 13 companies to receive Top Global Employer status for 2018. Our vision is of a world with accessible healthcare for all, where prevention measures are exponentially advanced and billions are freed of disease. Our approach is rooted in our patient-centricity and the creation of outstanding treatments that change people's lives. Building upon a foundation of sustainability, we are committed to contributing to the long-term health of people through disease prevention. Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Director, Lead Data Scientist. At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world. Here, you will be a vital contributor to our inspiring, bold mission. OBJECTIVE: This position is responsible for building a state-of-art, cutting-edge analytical and data scientist team that serves the holistic US BU by focusing on the patient and their healthcare journey. This individual will be a hands-on analytics leader, who accelerates strategic insight generation, enhances decision-making across the organization, and identifies actionable business opportunities through use of predictive modeling, advanced analytical techniques, and machine learning. This position partners closely with leaders in business units, patient services, commercial operations, and managed markets to proactively identify business needs and work closely with internal stakeholders. Works closely with external partners and thought-leaders to continue to advance team and abilities ACCOUNTABILITIES: Lead, coach, and groom team on gaining knowledge and application on advanced analytics techniques, problem solving, and provide necessary training, coaching and management to appropriately build and leverage advanced analytical resources Use problem solving methodologies to propose creative solutions and develop data driven analyses using both traditional & advanced analytics methodologies Create and leverage value through advanced analytics that provides insight into critical business decisions and patient insights through development of advanced analytical techniques Build unique predictive machine learning models that continue to find novel ways to identify and classify patients and healthcare ecosystems, agnostic of product or diagnosis Cross-pollinate advanced analytical techniques throughout the organization; serves as center of excellence consultant for business analysis functions Provide subject matter expertise to team members and applicable internal / external stakeholders on complex assignments or projects Keep up-to-date on emerging developments and trends in the analytics space to assess the impact on current and future strategies Be a change agent who effectively communicates the vision and implementation road map for the new analytical capabilities and gains buy in from stakeholders across the organization Work with IT and commercial operations to support use of big data Delivers high impact presentations, seeks participation and gains commitment as necessary EDUCATION, EXPERIENCE AND SKILLS: Required: Master ??s Degree in Statistics, Analytics, Data Science, Mathematics, or Operations Research 10+ years of progressive experience in data mining, modeling, and advanced data analytics projects 3+ years of leading cross functional teams and/or people management responsibility Strong hands-on experience with complex data sets using advanced analytics tools and statistical programming (e.g., R, SAS, Python), ??big data ? technologies Must have strong knowledge of relevant internal and external data sources within the pharmaceutical data ecosystem Desired: PhD in Statistics, Analytics, Data Science, Mathematics, or Operations Researc 3+ years in pharmaceutical / biotechnology / healthcare industry preferred Competencies & Skills Proven ability and training in generating advanced insight statistical models, including (but not limited to) multivariate linear regression, cluster algorithms, decision trees, logistic regression, CART, Principal Component Analysis (PCA), time series, survival analysis, machine learning (supervised and unsupervised), Bayesian Methods, Neural Networks, etc. Demonstrated understanding of machine learning methods and statistical packages Proficiency in bringing structure to ambiguous problems and deriving insights from multiple data and information sources Ability to develop frameworks for steering complex analytics projects. Strong analytical thinker with an abundance of intellectual curiosity Strong customer focus and the ability to build strong relationships and networks across the organization and externally In-depth knowledge of healthcare industry, and the prescription drug distribution process in a large healthcare organization, or prescription drug vendor. Search for a category and select one from the list of suggestions. Search for a location and select one from the list of suggestions. Finally, click ??Add ? to create your job alert. By submitting your information, you acknowledge that you have read our privacy policy and consent to receive email communication from Takeda Pharmaceuticals. Please be aware there are instances of identity thieves posting Takeda-branded jobs and posing as employees to steal personal information. They visit job-related websites and invite candidates to online chats. During the chat, they press job seekers to provide bank account information and Social Security numbers. At Takeda, we do not ask for personal financial information during telephone, in-person or video interviews. And we are investigating ways to mitigate or stop this scheme. If you have concerns related to this issue, consider the following actions: 1) If in the U.S., place a freeze on your credit reports: 2) file a complaint with the U.S. Federal Trade Commission: and/or 3) file a report with your local police department.
Associated topics: bacteria, dietetic, drug, food scientist, histology, histotechnologist, immunohematology, microbiological, nephrology, physiology

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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