Hybrid Data Scientist Data Scientist

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’sPrivacy Noticeand Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.Job DescriptionAbout the role:At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide.Join Takeda as a Data Scientist where you will work with drug product scientists, device engineers, test engineers, and process development experts to develop and validate computational techniques and simulations to model and predict the behavior and interaction of biological, chemical, and physical systems. You will also also support digitalization of business and quality processes. As part of the Drug Product and Device Development (DPDD) team, you will report to Director, Commercial Device Engineering. DPDD develops Drug, Device, and Combination products in a sustainable and cost-effective process.You will have an innovative mindset, able to leverage their experience with advanced data analytics, In Silico technology, Artificial Intelligence, Machine Learning, Deep Learning, and Digitalization techniques to support combination product development and lifecycle management.How You Will Contribute

• You will lead the initiatives to integrate the In Silico and automation approaches into the combination product development, risk management, manufacturing and post market lifecycle management.
• You will partner with data scientists to develop an infrastructure and processes for the contextualization, organization, visualization, and storage of the generated data, to enable autonomous and intelligent process development. Identify and convert physical activities in development and lifecycle to digital platforms.
• You will have deep experience processing large data sets and applying advanced methods to visualize and extract value from them. You will have experience developing workflows for data collection using a wide range of automation tools, from traditional platforms to the use and development of complex software solutions. You will have knowledge of multiple process analytical technologies (PAT), Pharma 4.0 digital maturity models and systems, and testing and building simulation models. You will strive to improve our workflows to facilitate and accelerate process development, optimization, and understanding.
• You will be recognized as a technical resource/expert within DPDD and across Pharmaceutical Sciences and use technical expertise to contribute across multiple projects and drive technical/scientific strategy. You will collaborate closely with product development groups, digital and manufacturing based on pipeline needs and current trends in research. You will maintain and grow the department's strategic relationships with our outsourcing partners, academic collaborators, and pre-competitive consortia, as well as directing and managing outsourcing across a product platform, as appropriate.
• Document model development and validation processes, ensuring compliance with regulatory standards.
• Present findings and provide insights to stakeholders to inform decision-making processes.
• Stay updated with the latest advancements in data science, machine learning, and in-silico modeling techniques, incorporating novel automation technologies and industry trends as a key aspect of scientific strategy development.
• Ensure project management of all plans and projects within your responsibilities, linking all scientific efforts to company, program and functional goals.
• Identify topics for initiatives and lead local/global and cross-functional initiatives on behalf of senior staff.
• Represent Takeda and be an active member on pre-competitive collaborations with academic and industrial partners.
• May require approximately 10% travel.

Minimum Requirements/Qualifications

• PhD in engineering or related pharmaceutical science.
• Masters degree in engineering or related pharmaceutical science and 6+ years relevant industry experience.
• Bachelors degree in engineering or related pharmaceutical science and 8+ years relevant industry experience.
• Extensive experience in the use of computational modeling and simulation in medical device or related areas.
• Proficiency in computational modeling software (FEA, CFD, etc.), and CAD software such as SolidWorks.
• Experience in Artificial Intelligence (AI) and Machine Learning (ML).
• Experience validating computational models.
• Ability to work independently and as part of a multidisciplinary team.
• Strong problem-solving skills and attention to detail.
• Excellent communication and presentation skills.
• Experience managing staff preferred.
• Sound knowledge of current Good Manufacturing Practices (cGMP).
• Previous experience contributing to regulatory filings, preferably experience will late-stage filings.
• Proven scientific track record through presentations at scientific conferences and publication of peer-reviewed manuscripts.

More About UsAt Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy.Takeda Compensation And Benefits SummaryWe understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.For Location:Lexington, MAU.S. Base Salary Range$108,500.00 - $170,500.00The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.U.S. based employees may be eligible for short-term and/or long-termincentives. U.S.based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S.based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.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.LocationsLexington, MAWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time