Senior Scientific Engineer Data and DevOps

About AbbVie
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: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

The Scientific IT group at AbbVie Bioresearch Center supports a variety of technical computing workloads serving a community of scientists focusing on pharmaceutical R&D. This position offers the opportunity to work in a cross functional team of informatics scientists and IT professionals in building a next generation scientific compute platform. We are looking for an exceptional candidate with significant DataOps/DevOps experience to assist in expanding our data management strategies. The candidate must possess a solid understanding of Linux and Windows administration, experience supporting the life sciences / technical computing field and a focus on delivering agile infrastructure through modern operational methodologies and technologies. A successful candidate will be someone who seeks and excels in applying novel approaches to difficult and complex IT problems.

Principal Duties and Responsibilities:

• Work within a focused team in developing technical computing strategies and carry out their implementation including hardware, operating system, automation and application software deployments
• Design and maintain data flows required for backup, archival, and compute
• Securely integrate data from multiple internal and external sources into cohesive data flows
• Write and maintain scripts and databases required to move and track data
• Work with external scientific software vendors to design scripts for extracting data from proprietary systems (RDMS, NoSQL, XML, JSON, CSV) into corporate databases or BI tools
• Implement scalable and re-locatable deployment strategies through automation/orchestration, scripting and containerization in both on premises and cloud settings with the goals of applying DevOps methodologies to scientific computing
• Work with developers and data scientists to migrate existing custom built applications into Docker containers
• Work with developers and data scientists to increase adoption of CI/CD infrastructure
• Work directly with researchers and scientists as a member of their team in designing, prototyping/testing, tuning for parallelization, problem analysis and preparing documentation for processing and data acquisition pipelines
• Respond to user requests for direct support of application troubleshooting
• Transfer knowledge and promote new technologies within the user community through one-on-one help sessions and documentation
• Assist users to install, configure and/or script informatics tools and applications. Help guide their analytical processes through understanding their work and data flows
• Provide general Linux/UNIX administration
• Use AbbVie values to govern decisions, actions and behaviors. These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration
   

Qualifications

Requirements:

• Bachelors or Masters degree in Computer Science, IT, Bioinformatics or related field
• 1-3+  years of experience in the planning, deployment, and management of Linux systems (RHEL, Ubuntu)
• 1-3+ years of strong scripting or programming experience (Bash, Python, Perl, Ruby, C/ C++)
• 1-3+ years of strong database and SQL experience (Oracle, MS SQL Server, PostgreSQL)
• 1-3+ years of experience with containerization tools (Docker, Docker Build, Kubernetes)
• 1-3+ years of experience in the implementation, integrating and use of orchestration and automation tools or platforms (Ansible/Salt, Jenkins, Kubernetes)
• 1-3+ years Amazon Web Services experience
• 1-3+ years of experience supporting/developing informatics systems in machine learning, medical or basic science research environments strongly preferred
• 1-3+ years virtualization / VMware experience a plus
• 1-3+ years Windows Server administration a plus
• Experience working in the Life Sciences field or Pharmaceutical Industry is desired
• Demonstrated experience/knowledge of computational clusters (CPU & GPU), HPC and/or grid computing environments a plus

Skills/Abilities/Competencies Required:

• Ability to work independently and demonstrate excellent project management and communication skills with a strong demonstration of commitment to customer service
• Good presentation, training and documentation skills are essential
• Comfortable working in a dynamic environment and developing flexible solutions to meet evolving requirements
• Ability to multitask and prioritize work requirements with minimal supervision
• Excellent written and verbal communication skills: demonstrated ability to communicate effectively with scientists, developers, application analysts, managers and IT
• Strong problem solving and negotiation skills
• Requires minimal direction from leadership and possesses the ability to learn quickly
• Ability to successfully negotiate and collaborate with others of different skill sets, backgrounds and levels within and external to the organization

Significant Work Activities
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)
Travel
Yes, 5 % of the Time
Job Type
Experienced
Schedule
Full-time
Job Level Code
IC
Equal Employment Opportunity
At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.