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Senior Data Engineer (Biopharmaceutical Development)
AstraZeneca Gaithersburg, MD
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$126k-155k (estimate)
Full Time 2 Weeks Ago
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AstraZeneca is Hiring a Senior Data Engineer (Biopharmaceutical Development) Near Gaithersburg, MD

Job Title: Senior Data Engineer (Biopharmaceutical Development)

Introduction to role:
Are you ready to explore and innovate in a dynamic environment? As a Senior Data Engineer specializing in knowledge graph development, your role will be pivotal in the design, creation, and maintenance of our organization's knowledge graph infrastructure. Your expertise will be instrumental in advancing knowledge management and discovery, with a primary focus on ensuring it is Findable, Accessible, Interoperable, and Reusable (FAIR) for scientists across the company. Our work revolves around collaboration with scientists and engineers from diverse fields within biopharmaceutical development to effectively analyze data, extracting valuable information, knowledge, and insights. Our collective mission is to optimize and revolutionize the R&D workflows, expediting the design and delivery of innovative medicines to patients.

Accountabilities:
In this role, you will develop knowledge graph solutions to architect, analyze, and continuously evolve BPD knowledge-based systems. You will integrate data from diverse sources (structured and unstructured) into the knowledge graphs, maintaining data quality and consistency. You will also develop and maintain schemas, controlled vocabularies, and ontologies for knowledge graphs, ensuring they accurately represent complex concepts and relationships. Additionally, you will continuously monitor and optimize knowledge graphs for performance and scalability. You will develop graph query services and machine learning applications to extract insights from knowledge graphs for users, including data scientists and lab scientists. Lastly, you will collaborate with cross-functional teams and partners to understand business requirements, identify knowledge gaps, and define data-driven strategies to streamline R&D processes.

Essential Skills/Experience:
* M.Sc. in a relevant field (such as mathematics, computer science, engineering) with 4 years of industry experience.
* Proven experience in data engineering, preferably in the biopharmaceutical or healthcare domain.
* Experience in knowledge graph development, ontology design, and graph database technologies.
* Strong programming skills (Python, Java, SQL)
* Excellent communication skills and the ability to collaborate effectively with diverse teams.

Desirable Skills/Experience:
* PhD degree in a relevant field (such as mathematics, computer science, engineering) with 2 years of industry experience.
* Experience with graph database systems (Neo4j, RDF, Amazon Neptune, Virtuoso) and related query languages (Cypher, SPARQL).
* Prior experience with Natural Language Processing, Large Language models and generative AI.
* Experience with cloud computing platforms such as AWS and Azure.
* Experience with data transformation, ETL processes and data quality management.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca?
Join the team unlocking the power of what science can do. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. Here we have the potential to grow our pipeline and positively impact the lives of billions of patients around the world. We are committed to making a difference. We have built our business around our passion for science. Now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs.

Ready to make a difference? Apply now and join us in our mission to revolutionize biopharmaceutical development!

Date Posted

11-Apr-2024

Closing Date

20-May-2024Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law.

Job Summary

JOB TYPE

Full Time

SALARY

$128k-158k (estimate)

POST DATE

05/04/2024

EXPIRATION DATE

05/17/2024

WEBSITE

astrazeneca-us.com

HEADQUARTERS

SOUTH SAN FRANCISCO, CA

SIZE

7,500 - 15,000

TYPE

Product/Brand/Service

CEO

TRUONG DANG

REVENUE

$1B - $3B

INDUSTRY

Pharmaceutical

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The following is the career advancement route for Senior Data Engineer (Biopharmaceutical Development) positions, which can be used as a reference in future career path planning. As a Senior Data Engineer (Biopharmaceutical Development), it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer (Biopharmaceutical Development). You can explore the career advancement for a Senior Data Engineer (Biopharmaceutical Development) below and select your interested title to get hiring information.

If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Engineer job description and responsibilities

The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

03/09/2022: Billings, MT

The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

01/05/2022: Melbourne, FL

Create architecture for real-time, big data applications with minimal maintenance effort.

03/23/2022: Benton Harbor, MI

Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

01/22/2022: Greenville, MS

Provides successful deployment and provisioning of data solutions to production or other required environments.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

02/06/2022: Providence, RI

Earn a bachelor’s degree related to data engineering and begin working on projects.

02/16/2022: Denver, CO

Consider pursuing additional professional engineering or big data certifications.

03/06/2022: Raleigh, NC

Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

01/24/2022: Abilene, TX

Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

01/02/2022: New York, NY

Step 3: View the best colleges and universities for Senior Data Engineer.

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