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Senior Scientist, Data Architect - job 2 of 3

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on TwitterFacebookInstagramYouTube and LinkedIn

Job Description

AbbVie’s Genomics Research Center (GRC) is a center of excellence for genetics and genomics that supports the R&D pipeline from Discovery through Development. The GRC goal is to develop world class genetics and genomics research focused on finding the right therapeutic targets, helping AbbVie scientists better understand human disease biology, understanding the behavior and response to our drugs in clinical trials, and improving production of our biological drugs.

We are seeking a talented and highly motivated Senior Scientist, Data Architect to join the GRC’s Bioinformatics Engineering (BE) team. This position will support the GRC’s strategy of maximizing the value of our data through the development of scalable data storage and management solutions. Strong communication and teamwork skills are essential as the candidate is expected to operate in a high-paced and multi-disciplined environment across geographic locations.

Responsibilities:

  • Design and develop scalable and efficient omics data storage platforms to accommodate large-scale bioinformatics data.
  • Collaborate with bioinformatics engineers and scientists to understand data requirements and develop loading processes for newly generated omics data.
  • Build robust and secure APIs to facilitate data access, retrieval, and integration across different bioinformatics applications.
  • Optimize the performance of data storage and retrieval operations to ensure quick and accurate access to omics data.
  • Implement data governance and security measures to maintain data integrity and assure stakeholder access.
  • Stay up-to-date with emerging technologies and industry trends in bioinformatics and data architecture to drive innovation and improve data management processes.
  • Provide technical leadership and guidance to junior data architects and developers in the team.
  • Collaborate with other Bioinformatics Engineering sub teams to identify and address data integration and interoperability challenges.
  • Conduct performance analysis and troubleshooting to identify bottlenecks and implement solutions for improved system performance.
  • Collaborate with data scientists and analysts to develop data models and structures that enable effective data analysis and interpretation.

Qualifications

  • Degree in computer science, bioinformatics, or a related field. BS with typically 10-12+ years experience, MS with typically 8-10+ years experience, or Ph.D. with typically 0-4+ years experience.
  • Demonstrated experience in the pharmaceutical industry or related field.
  • Extensive experience in designing and implementing scalable and efficient data management platforms for bioinformatics data.
  • Demonstrated expertise with AWS services such as S3, EC2, RDS, RedShift, Athena.
  • Expert knowledge of bioinformatics data, including omics data types and formats.
  • Proficiency in programming languages such as Python, Java, or R, and extensive experience with database technologies such as SQL, NoSQL, and cloud-based storage solutions.
  • Ability to design and build efficient data flows, including extraction, transformation, and loading (ETL) processes, to ensure seamless integration and movement of bioinformatics data across different systems and platforms.
  • Experience leveraging distributed computing systems like Apache Spark.
  • Demonstrated ability to build and maintain APIs for data access, retrieval, and integration.
  • Comprehensive understanding of data governance and security measures to ensure data integrity and stakeholder access.
  • In-depth knowledge of emerging technologies and trends in bioinformatics and data architecture.
  • Ability to provide technical leadership and guidance to Bioinformatics Engineering team members and Bioinformatics partners.
  • Excellent collaboration and communication skills to work effectively with bioinformatics engineers, scientists, and cross-functional teams including IT resource providers.
  • Proven ability to identify and address data integration and interoperability challenges.
  • Experience in performance analysis, troubleshooting, and implementing solutions to improve system performance.
  • Ability to collaborate with data scientists and analysts to develop effective data models and structures for analysis and interpretation.

Preferred:

  • Experience administering high-performance computing (HPC) resources.
  • Knowledge of machine learning and data mining techniques for bioinformatics data analysis.

 

Position will be hired based on level of experience. 
Senior Scientist I / Senior Data Architect I or Senior Scientist II / Senior Data Architect II

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

  • This job is eligible to participate in our short-term incentive programs. ​

  • This job may be eligible to participate in our long-term incentive programs. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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Average salary estimate

$105000 / YEARLY (est.)
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$90000K
$120000K

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What You Should Know About Senior Scientist, Data Architect, AbbVie

Looking to make a substantial impact in the world of data? AbbVie, a leader in innovative health solutions, invites you to consider joining our team as a Senior Scientist, Data Architect in North Chicago, IL. At our Genomics Research Center, we pride ourselves on combining cutting-edge science with state-of-the-art technology to tackle some of the toughest health challenges. As a Senior Scientist, you'll be at the forefront of developing scalable data platforms that manage complex omics data, supporting our efforts in drug development and clinical trials. Your role will involve designing efficient storage solutions, collaborating with bioinformatics engineers, and building robust APIs that optimize data access and integration across a variety of applications. You’ll also have the opportunity to lead and mentor junior staff, drive innovations in bioinformatics, and implement governance measures to ensure data integrity and security. If you are passionate about leveraging data to improve lives and want to engage in high-paced, multidisciplinary work with a team that values collaboration, we want to hear from you!

Frequently Asked Questions (FAQs) for Senior Scientist, Data Architect Role at AbbVie
What are the primary responsibilities of a Senior Scientist, Data Architect at AbbVie?

The Senior Scientist, Data Architect at AbbVie is responsible for designing and developing scalable data storage platforms for large-scale bioinformatics data, collaborating on data requirements, building APIs for data access, and optimizing performance to ensure accurate data retrieval. This role also includes implementing data governance measures and providing technical leadership to junior team members.

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What qualifications are needed for the Senior Scientist, Data Architect position at AbbVie?

Candidates should have a degree in computer science, bioinformatics, or a related field with extensive experience in scalable data management platforms. A background in the pharmaceutical industry is preferred, along with proficiency in cloud services like AWS, and programming in languages such as Python, Java, or R.

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How does the Senior Scientist, Data Architect contribute to AbbVie’s mission?

The Senior Scientist, Data Architect contributes to AbbVie’s mission by developing innovative data solutions that enhance understanding of disease biology and improve clinical outcomes. By managing omics data efficiently, they play a crucial role in our R&D pipeline, ultimately aiding in the development of new therapies.

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What skills are essential for the Senior Scientist, Data Architect role at AbbVie?

Essential skills for the Senior Scientist, Data Architect role include a strong grasp of data management, programming, and bioinformatics. Furthermore, expertise in cloud technologies, data governance, and the ability to collaborate effectively across multidisciplinary teams is crucial for success at AbbVie.

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What opportunities for professional development does AbbVie offer for Senior Scientists?

AbbVie encourages professional growth through mentorship programs, continuous learning opportunities, and access to cutting-edge research technologies. Senior Scientists are often involved in collaborative projects that foster skill enhancement in bioinformatics and data architecture.

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Common Interview Questions for Senior Scientist, Data Architect
Can you describe your experience with designing scalable data storage solutions in bioinformatics?

When answering, focus on specific projects where you successfully developed data storage platforms, the technologies used, and any challenges you overcame. Highlight your problem-solving skills and ability to work within a collaborative team setting.

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How do you ensure data integrity and security in your projects?

Discuss the protocols you follow for data governance and security, including any specific frameworks or tools you’ve implemented. Emphasize your understanding of data privacy laws and your proactive approach to safeguarding sensitive information.

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What programming languages are you proficient in, and how have you used them in your previous roles?

Mention the programming languages you are skilled in, such as Python, Java, or R, and provide examples of projects where you used these languages for data manipulation, analysis, or API development. Make sure to explain how your programming skills have positively impacted previous projects.

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Describe your experience with cloud technologies like AWS or Azure in data management.

Provide specific examples of how you have used cloud services to manage large datasets, optimize performance, and integrate data across applications. Discuss any challenges faced and how you leveraged these technologies to achieve successful outcomes.

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How do you stay updated on emerging trends in bioinformatics and data architecture?

Share your strategies for staying informed, such as attending conferences, participating in online courses, or engaging with professional communities. Illustrate how these areas of knowledge have influenced your work and decision-making in the field.

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What role does collaboration play in your work as a data architect?

Emphasize the importance of cross-team collaboration in your projects. Describe instances where effective communication and teamwork led to successful outcomes, particularly in multi-disciplinary environments like the one at AbbVie.

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Can you provide an example of a challenging data integrity issue you resolved?

Walk the interviewer through a specific example involving a data integrity challenge. Detail the steps you took to diagnose the issue, the interventions you applied, and the ultimate resolution that ensured data integrity moving forward.

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How do you approach performance optimization in data storage systems?

Discuss your methodologies for analyzing system performance, identifying bottlenecks, and applying solutions. Reference specific tools or analytical frameworks you utilize to achieve optimized performance in data systems.

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What experience do you have with machine learning and its application in bioinformatics?

Highlight any projects where machine learning techniques were implemented, the results achieved, and your role in the project. Explain how machine learning enhances bioinformatics research and data analysis.

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Why do you want to work for AbbVie as a Senior Scientist, Data Architect?

Reflect on AbbVie’s mission and values that resonate with you. Talk about your passion for improving health outcomes through data-driven insights and how you can contribute to AbbVie’s innovative work in the pharmaceutical scene.

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AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: i...

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DATE POSTED
April 22, 2025

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