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 DescriptionThe Global Research, Informatics & Platform Solutions team within the Information Research (IR) Division works with internal clients to provide data management and decision support tools to optimize the efficiency and efficacy of research and development at AbbVie. As a member of the ABA Data Science team, the Senior Data Scientist II will support projects in Precision Medicine, Oncology Early Discovery, Allergan, and Omics research. This role conceives, designs, and implements innovative solutions for scientific and business challenges through the integration, visualization, and analysis of datasets. This role is responsible for identifying, developing & optimizing new methods, algorithms and technologies to gain insights and improve productivity in multiple business areas. This is a cross-functional role, working with discovery scientists, technology stakeholders in Information Research and Business Platforms partners to optimize data capture, analysis, and decision-making. We are looking for innovators who are passionate about the next generation of intelligent automation and agentic AI. Those who find agent development, agentic automation, and AI-driven process optimization are encouraged to apply.
Key Responsibilities
Communicate – ability to communicate with scientific individuals from Discovery teams to understand existing workflows and data flow & gather requirements
Collaborative Design – understand the client’s needs, propose solutions, and develop appropriate solutions
Build – Conceive, design, and implement technology solutions that integrate, visualize, and analyze complex multi-platform data, including genomics, biomarkers, & clinical data.
Integrate – understand the value in capturing data properly, and integrating data sets
Support – provide solutions to performance-related issues and work with downstream systems to support data driven demands
Technical Proficiency - Demonstrate high proficiency in technologies for data storage, transfer, integration, visualization, and advanced analytics
Adaptability – ability to work on multiple, sometimes very different, projects at one time
Breadth – as a talented and motivated Senior Data Scientist II, contribute independently to a wide variety of projects related to enhancing drug discovery & development
Required:
- Bachelor's Degree with 7 years’ experience; Master's Degree with 6 years’ experience; PhD with 2 years’ experience
- Working knowledge of drug discovery and development process
- Dedicated team player who can interface with stakeholders from a variety of internal IT disciplines (DBAs, architects, developers, etc.) and external customers (discovery scientists, therapeutic area scientists, pathologists, etc.)
- Strong programming proficiency in Python (and possibly other modern languages) with a focus on software engineering best practices, modular code, and robust deployment pipelines and strong familiarity with data visualization and pipelining tools such as Spotfire, or equivalent
- Experience with ML Ops, continuous integration/continuous deployment (CI/CD), and working with production environments (Docker, cloud platforms like AWS/Cloudera)
- Ability to work independently, multitask, and work within timelines
- Excellent communication skills for cross-functional collaboration, including documenting and presenting technical solutions to non-technical stakeholders: outstanding interpersonal, verbal, and written communication skills
- A self-motivated learner and thinker with a hands-on approach who wants to harness the power of claude
Preferred:
- Background in life sciences, biology, or equivalent, and demonstrated technical proficiency in the pharmaceutical industry
- Experience working with data from: clinical trials, Biomarkers, and omics data
- Familiarity with frameworks for agent-based modeling or multi-agent systems (e.g., OpenAI GPTs, LangChain, AutoGPT, or similar agent frameworks)
- Ability to architect and optimize agent workflows and design agentic processes to solve business or scientific challenges
- Familiarity with modern data science and AI techniques, especially as they pertain to autonomous or semi-autonomous systems
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 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
Skills Required
- Bachelor's Degree with 7 years experience or Master's Degree with 6 years experience or PhD with 2 years experience
- Strong programming proficiency in Python and familiarity with data visualization and pipelining tools
- Experience with ML Ops, CI/CD, and production environments
- Excellent communication skills for cross-functional collaboration
- Background in life sciences or biology
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
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Retirement Support — 401(k) contributions include a dollar-for-dollar match up to 6% plus an additional annual company contribution tied to age and service. Company-paid life insurance and other financial protections further strengthen long-term security.
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Parental & Family Support — Paid leave programs include up to 12 weeks at 100% for parental leave and separate paid caregiver leave, with eligibility after six months where noted. Adoption and surrogacy reimbursements and family-building resources add further support.
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Healthcare Strength — Health coverage begins on day one with medical, dental, vision, mental health, and prescription benefits, and preventive care covered at 100%. Options such as HSAs/FSAs and coverage for spouses/domestic partners and children up to age 26 broaden accessibility.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.
