Come join the inclusive and collaborative Scientific and Cloud Computing team.
As a Senior Data Science Engineer in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
In this role you’ll be responsible for:
Engineering, architecture, and best practices for workbench/notebook solutions (e.
g.
Posit Workbench, Posit Connect, Jupyter, CML)
Working directly with other team members to deploy workbench/notebook solutions across environments that include high performance compute clusters, AWS, Cloudera, and Linux workstations.
Partnering with scientists to support their projects and directly help with their more difficult use cases.
Participating in the data science community
Tools and skills you will use in this role:
Posit Workbench and Posit Connect
Cloudera Machine Learning
Jupyter
Docker and Apptainer
Amazon Web Services
High performance compute clusters
Experiences that make you a strong candidate for this role:
Required:
Bachelor’s Degree with 6 years’ experience; Master’s Degree with 5 years’ experience; PhD with 0 years’ experience.
Demonstrable expertise with data science
Proficiency with Linux system administration
Familiarity with Slurm or other job schedulers
Clear interpersonal communication skills
Beneficial:
Work experience in the pharmaceutical industry
If you believe you’re a great fit for this job but don’t have all of the experiences listed above, we encourage you to apply anyway!
Why Business Technology Solutions
For anyone who wants to use technology and data to make a difference in people’s lives, shape the digital transformation of a leading biopharmaceutical company, and secure sustainable career growth within a diverse, global team: we’re ready for you.
AbbVie 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.
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