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Daiichi Sankyo, Inc. Interview Questions

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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.

Write a query to randomly sample a row from this table.

Input:

<code>big_table</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>

Write a query to randomly sample a row from a big table.

Random SQL Sample

Daiichi Sankyo, Inc. Salaries by Position

Join a Legacy of Innovation 110 Years and Counting!

Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 120 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 16,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.

Summary

The Data Architecture team will employ the candidate to establish fundamental data capabilities for R&D Excellence, Data Governance, and Master Data Management. They will be directly responsible for developing data and information models for the R&D domain of Daiichi Sankyo globally, and the Commercial domain for the US region. The candidate will also be responsible for constructing and maintaining Master Data Management and Data Governance capabilities to ensure that solutions meet pharmaceutical industry regulations and best practices.

Responsibilities

Develop comprehensive data architecture diagrams that depict the data life cycle, data flow, data processes, and data integration in and across systems. Create and maintain accurate documentation of source-to-target mappings for data integration processes. Provide support for enterprise architecture initiatives by aligning data architecture with TOGAF principles.
Collaborate with stakeholders to understand data requirements and translate them into logical and physical data models. Design and develop data models to support data management, data integration, and data analysis activities in the pharmaceutical RD domain.
Ensure data models adhere to industry best practices, data governance standards, and regulatory requirements. Optimize data models for performance, scalability, and efficiency. Conduct data modeling training sessions for end-users and provide ongoing support and guidance.
Ensures compliance with Data Governance policies by collaborating with relevant teams within the organization. Works with Data Governance bodies to apply/integrate to policies and assists in the development of data migration, integration, and quality projects based on business needs. Provides guidance and support to the development team during implementation and participates in testing and quality assurance to ensure compliance with regulatory requirements such as GxP and CRF21 Part 11.
Collaborates with domain experts in privacy, security, and compliance to ensure that the RD and Commercial data platforms uphold privacy, security, and compliance requirements. Serve as a liaison between the business and technical teams by planning, conducting, and capturing the analysis of complex, strategic privacy matters that require it solutions.

Qualifications : Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation.

Education (from an accredited college or university)

Bachelor's Degree Bachelor's degree or higher degree in Computer Science or a related discipline from an accredited college or university
Master's Degree Master's degree in Life Science or Engineering or Information Technology preferred

Experience

4 or More Years 4-7 Years of experience in applications development and business analysis in life sciences, pharma or informatics industry
4 or More Years 4 or More Years of experience with large and complex data management projects
4 or More Years 4 or More Years of experience with data and information modeling using tools such as ERWin, ER/Studio and/or iServer preferred
4 or More Years 4 or More Years of experience with Data Integration Technologies preferred
Knowledge of Master Data Hub Architecture, data design and implementation
Experience in supporting MDM strategies, with the ability to discuss requirements, priorities, potential solutions
Strong in Unix shell/Perl scripting
Proven ability to work in a global and highly matrix environment
experience with Amazon Web Services (S3, RDS, Red Shift etc.)
Familiarity with and understanding of key industry best practices as well as legislative, regulatory and industry artifacts/frameworks such as the following is: preferred
Best Practices for computerized systems in regulated “GXP” environment
21 CRF
11: Electronic Records, Electronic Signatures

Travel

Ability to travel up to 10% Travel to DSD, DSE, DST locations which will include overnight travel. Ability to travel to EU and Japan - sometimes at short notice.

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
#J-18808-Ljbffr

Join a Legacy of Innovation 110 Years and Counting! Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 120 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 16,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group's 2025 Vision to become a "Global Pharma Innovator with Competitive Advantage in Oncology," Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders. Job Summary: Data Engineer will partner with business stakeholders and decision makers to develop solutions to support their analytical needs and business insights. This role will be responsible for designing, developing, and maintaining our company's data architecture, data pipelines, and infrastructure to ensure the effective management, analysis, and utilization of data. This role will collaborate with IT, sourcing partners, data stewards, and business to ensure data integrity, and data security in accordance with business requirements and provide technical and data subject matter expertise where required. Responsibilities - Develop and maintain our company's data infrastructure architecture, including data warehouses and data lakes, to support efficient and effective data management and analysis. Build and maintain robust, scalable, and high-performance data pipelines to extract, transform, and load data from various sources into our data platforms. - Develop, manage, and be accountable for the onboarding of new data source, data blending and integration of multiple data sources, building new reports and dashboards, enhancements of existing processes supporting both Commercial and RD functions. Responsible for managing quality of the deliverables - Serve as point of contact for implementation of complex data projects and development of data management technologies. Provide technical expertise and subject matter expertise. Provide risk analysis, business and technical assessment of requests in relation to data platforms. - Continuously evaluate new data technologies, tools, and platforms to improve data processing, storage, and analysis capabilities. Optimize and tune data infrastructure and systems for performance, reliability, and scalability. - Collaborate with cross-functional teams, including data analysts, data scientists, data stewards and software engineers to ensure data quality, integrity, accuracy, consistency and security across systems and applications. Qualifications: Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation. Education Qualifications (from an accredited college or university) - Bachelor's Degree Bachelor's degree in fields such as Computer Science or Information Technology required Experience Qualifications - 4 or More Years 4 or More Years of hands-on experience in applications development, Business Intelligence, and advanced analytics with emphasis on Microsoft Azure suite required - 4 or More Years 4 or more years of hands-on experience with enterprise data warehouse solutions including integration of complex data sources for the deployment of decision support systems required - 1 or More Years Experience with commercial pharmaceutical / business information, Supply Chain, Finance and HR preferred - 1 or More Years Experience with Clinical Trials Data, Genomics and Bio Marker Data, Real World Data, Discovery Data etc. preferred - 1 or More Years Familiarity with and understanding of key industry best practices in regulated "GXP" environment preferred - Ability to travel up to 5% Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Daiichi Sankyo, Inc. Interview Questions

Daiichi Sankyo, Inc. Interview Guides

Daiichi Sankyo, Inc. Interview Questions

Daiichi Sankyo, Inc. Salaries by Position

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