About this opportunity
Company Description
About AbbVie
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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.
Job Description
We are seeking an experienced AI Data Scientist II to join our innovative FAiM Team at AbbVie Pharmaceuticals. This position is an opportunity to join a team and work at the intersection of machine learning and artificial intelligence within the Global Therapeutics space at AbbVie. In this role, you will leverage cutting-edge AI technologies to transform our clinical data operations and drive pharmaceutical innovation. The ideal candidate will combine strong technical expertise and development leadership with clinical science knowledge to create solutions that accelerate drug discovery and improve patient outcomes.
This role will work collaboratively with technology and business groups to perform analyses and implement technologies to deliver precise, reliable, and reproducible solutions in a timely manner as a development lead. Also, this role will need to demonstrate technical precision and strong data science skills.
Responsibilities:
Design, develop, and deploy AI-driven solutions to solve complex clinical and pharmaceutical challenges.
Develop and maintain backend systems using FastAPI for robust data processing pipelines.
Develop automations utilizing Robotic Process Automation
Collaborate with cross-functional teams including clinical scientists, IT, and business stakeholders to include technical timelines and planning.
Lead multiple concurrent projects while maintaining exceptional quality standards.
Translate complex technical concepts into accessible insights for non-technical stakeholders.
Build and maintain relationships with internal teams and external vendors to stay informed on AI trends and best practices.
Independently design and develop business technology solutions to answer scientific or business questions through integration, visualization, and analysis of data.
Demonstrate proficiency across a range of technologies related to storage, transfer, integration, visualization, and analysis of large and complex data sets.
Demonstrate knowledge of the pharmaceutical and healthcare business and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions.
Effectively organize and present project objectives and progress. Contribute to technical publications and presentations.
Qualifications
Required:
Bachelor’s Degree in Computer Science, Data Science, or related technical field and 5 years of experience; Or Master’s Degree and 4 years of experience.
Demonstrated experience applying AI/ML in clinical or pharmaceutical contexts.
Hands-on experience using large language models and machine learning algorithms.
Strong programming skills in Python with emphasis on data science libraries
Backend development experience using FastAPI.
Experience with Knowledge Graphs and associated Python packages
Experience building applications on AWS infrastructure specifically ECS.
Excellent written and oral communication skills.
Proven ability to manage multiple projects simultaneously.
Preferred:
Master’s Degree preferred.
Background in life sciences or work experience in the pharmaceutical industry preferred.
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 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
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 883 comparable Data & Digital roles across 80 biopharma companies.
Salary context
275 of 883 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 883 comparable roles
+ 36 more countries
Seniority mix
574 of 883 peers have a known seniority level
Therapeutic area mix
30 of 883 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Open in 4 locations
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.