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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’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 Description

Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Development Center Americas, Inc. for the following job opportunity:

JOB LOCATION: Cambridge, MA

POSITION: Data Scientist

POSITION DESCRIPTION: Takeda Development Center Americas, Inc. is seeking a Data Scientist with the following duties: Collaborate with cross-functional stakeholders to develop descriptive, prescriptive, and predictive analytics, generating actionable insights to address complex business problems in drug development and market access; translate unstructured business problems into scalable data models, algorithms, and analytical frameworks, leading innovation through the full data science and machine learning lifecycle, from data engineering to model deployment; leverage advanced statistical and machine learning techniques to design and deliver data-driven solutions using Python, and create impactful visualizations with Tableau/Power BI for enhanced clinical and commercial decision-making; manipulate and analyze large-scale, high dimensional structured and unstructured datasets from clinical trials, real-world evidence (RWE), and regulatory databases (e.g., FDA), utilizing SQL and performing version control and cloud-based deployment on platforms like AWS; demonstrate expertise with pharmaceutical and healthcare datasets, including real-world data (RWD), clinical trial data, and drug safety information, proactively seeking insights through independent research and collaboration with subject matter experts in medical affairs, regulatory, and clinical operations; ensure high quality delivery of data science projects by implementing robust methodologies, quality control measures, and continuous improvement of data governance practices aligned with regulatory standards in Life Sciences. Up to 20% domestic travel required. Up to 80% remote work allowed from anywhere in the U.S.

REQUIREMENTS: Master’s degree in Computer Science, Information Systems, Math, Data Science in the Life Sciences Sector, or related field, plus 2 years of related experience. Prior experience must include: collaborate with diverse stakeholders across functions to drive innovative solutions, transforming complex, unstructured business problems into data modeling and analytical strategies, and clearly communicating results and limitations; manipulate and analyze large, high-dimensional structured and unstructured datasets using query languages, managing code and version control with cloud computing infrastructure such as AWS; develop and implement data science projects across the lifecycle, using Python and visualization tools like Tableau and Power BI to create insightful analytics, along with descriptive, predictive, and prescriptive models in the Life Sciences sector; mentor and support colleagues, fostering the growth of the data science community, while building expertise in healthcare and pharmaceutical data through research with variety of datasets and tools like Komodo Health and Definitive Healthcare. Up to 20% travel required.

Full time. $126,500 - $186,000 per year. Competitive compensation and benefits.

Qualified applicants can apply at https://jobs.takeda.com. Please reference job #  R0147941 . EOE

Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.

Locations

Boston, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Average salary estimate

$156250 / YEARLY (est.)
min
max
$126500K
$186000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, Takeda

As a Data Scientist at Takeda Development Center Americas, Inc., based in the vibrant city of Cambridge, Massachusetts, you’ll have an exhilarating opportunity to dive headfirst into the world of data analytics and innovation in the life sciences sector. In this pivotal role, you'll collaborate with a diverse range of cross-functional stakeholders to tackle complex business challenges and convert unstructured data into impactful, scalable models and analytical frameworks. Your expertise in advanced statistical techniques and machine learning will allow you to design and deliver data-driven solutions using Python, while your knack for data visualization with tools like Tableau and Power BI will enhance clinical and commercial decision-making processes. The role also offers exciting challenges in manipulating large-scale datasets from clinical trials and regulatory databases, utilizing SQL and cloud-based deployment services such as AWS for efficient data processing. With up to 20% of travel required, you'll enjoy the flexibility of working remotely for up to 80% of your time. If you're enthusiastic about shaping the future of healthcare through data science and possess a Master's degree in a related field with a strong background in data analytics, this is your calling. Join Takeda’s mission to shine a light on innovative solutions that fuel drug development and market access, all while enjoying competitive compensation and a comprehensive benefits package. Apply today, and let's change the world together!

Frequently Asked Questions (FAQs) for Data Scientist Role at Takeda
What is the role of a Data Scientist at Takeda Development Center Americas, Inc.?

As a Data Scientist at Takeda Development Center Americas, Inc., you will play a crucial role in developing descriptive, prescriptive, and predictive analytics. This involves collaborating with cross-functional teams to generate insights that address complex challenges in drug development and market access, translating unstructured problems into scalable models and algorithms.

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What qualifications are needed for a Data Scientist position at Takeda?

To qualify for the Data Scientist position at Takeda, applicants should hold a Master’s degree in Computer Science, Data Science, or a related field, combined with at least 2 years of experience in the life sciences sector. Applicants must also be proficient in Python, have experience with data visualization tools like Tableau and Power BI, and demonstrate capability in handling large, high-dimensional datasets.

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What kind of data does a Data Scientist at Takeda work with?

At Takeda, the Data Scientist will work with a variety of datasets, including real-world data (RWD), clinical trial data, and information from regulatory databases like the FDA. This role involves manipulating large-scale structured and unstructured datasets, analyzing them for actionable insights, and collaborating with subject matter experts across various domains.

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What technologies and tools are essential for the Data Scientist role at Takeda?

Key technologies and tools essential for the Data Scientist role at Takeda include Python for data analysis, SQL for dataset querying, and visualization tools like Tableau and Power BI. Familiarity with AWS for cloud services and experience in statistical and machine learning methodologies are also critical for success in this position.

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Are there opportunities for remote work as a Data Scientist at Takeda?

Yes! The Data Scientist position at Takeda allows for up to 80% remote work from anywhere in the U.S., providing great flexibility while still engaging in meaningful projects aimed at transforming healthcare through data analytics.

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Common Interview Questions for Data Scientist
Can you explain your experience with predictive modeling in the life sciences sector?

When discussing your experience with predictive modeling, emphasize specific projects where you successfully utilized predictive algorithms to solve real-world problems in healthcare or drug development. Describe the datasets you worked with and the impact your modeling had on decision-making.

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How do you approach translating business problems into data science projects?

To effectively translate business problems into data science projects, start by engaging with relevant stakeholders to understand their needs. Break down the problem into manageable parts and define measurable objectives, ensuring your models provide actionable insights aligned with business goals.

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What statistical techniques are you most comfortable using?

Discuss the statistical techniques you frequently use, such as regression analysis, clustering, or time-series analysis. Provide examples of how you've applied these techniques in past projects, particularly in generating insights from life sciences data.

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Describe your experience with data visualization tools like Tableau or Power BI.

Highlight your proficiency in data visualization tools by discussing specific examples of how you've used them to present complex data insights. Emphasize your understanding of best practices in visual storytelling and how effective visualization impacts decision-making.

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How do you ensure the quality and integrity of your datasets?

Explain your approach to data quality, including methods for cleaning, validating, and ensuring data governance. Discuss how you implement version control and maintain compliance with regulatory standards in the context of life sciences datasets.

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Can you give an example of a successful project where you collaborated with cross-functional teams?

Provide a specific example of a project where collaboration led to innovation. Discuss how you engaged with various stakeholders, the roles they played, and the outcomes of the project, emphasizing your contribution as a Data Scientist in the team.

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What cloud computing experience do you have, particularly with AWS?

Discuss your experience with AWS, highlighting specific tools or services you have used for data storage, analysis, or deployment. Provide examples of how this experience has contributed to the success of your data science projects.

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How do you stay current with advancements in data science, particularly in the life sciences sector?

Share your strategies for keeping up-to-date, such as attending industry conferences, participating in online courses, or being part of professional organizations. Discuss specific trends or technologies you've recently learned about and how they may apply to your work as a Data Scientist.

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What challenges have you faced in data modeling, and how did you overcome them?

Reflect on a particularly challenging data modeling project. Describe the obstacles you encountered, such as data quality issues or misalignment with business objectives, and explain the steps you took to address these challenges effectively.

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What role do you believe data science plays in the future of healthcare?

Discuss the transformative power of data science in healthcare, including personalization of patient care, predictive analytics for better outcomes, and improving operational efficiency. Provide visionary insights on how you see your work contributing to this future as a Data Scientist.

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DATE POSTED
April 4, 2025

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