Data Scientist
3 weeks ago
Takeda Pharmaceutical is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will work closely with our 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 support the digitalization of business and quality processes. As part of the Drug Product and Device Development (DPDD) team, you will report to the Director, Commercial Device Engineering. DPDD develops Drug, Device, and Combination products in a sustainable and cost-effective process.
Key Responsibilities- Lead initiatives to integrate In Silico and automation approaches into combination product development, risk management, manufacturing, and post-market lifecycle management.
- Partner with data scientists to develop an infrastructure and processes for the contextualization, organization, visualization, and storage of generated data, to enable autonomous and intelligent process development.
- Develop workflows for data collection using a wide range of automation tools, from traditional platforms to the use and development of complex software solutions.
- Apply advanced methods to visualize and extract value from large data sets.
- Collaborate closely with product development groups, digital, and manufacturing based on pipeline needs and current trends in research.
- 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.
- 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 with late-stage filings.
- Proven scientific track record through presentations at scientific conferences and publication of peer-reviewed manuscripts.
Takeda is a patient-focused company that inspires and empowers employees to grow through life-changing work. We are certified as a Global Top Employer and offer stimulating careers, encourage innovation, and strive 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.
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