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 Twitter, Facebook, Instagram, YouTube and LinkedIn.

Job Description

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 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.

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’s 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.

Qualifications

Required:

Bachelor’s Degree with 6 years’ experience; Master’s Degree with 5 years’ experience; PhD with 0 years’ experience 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++, other).
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.
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.
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.

Beneficial:

Experience working in the Life Sciences field or Pharmaceutical Industry.
Demonstrated experience/knowledge of computational clusters (CPU & GPU), HPC and/or grid computing environments.
1-3+ years of experience supporting/developing informatics systems in machine learning, medical or basic science research environments.
1-3+ years virtualization / VMware experience.
1-3+ years Windows Server administration.

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.

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, serving our community and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because 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, status as a protected veteran, or any other legally protected group status.

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

Sr. Engineer, Scientific DataOps