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Added 6 mins ago
Senior Telecom Engineer
Maximus
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Maximus is seeking an experienced Senior Telecom Engineer to lead the design, implementation, and optimization of Genesys Cloud solutions. This role is responsible for executing large-scale…
Added 6 mins ago
Lead AI and Data Science Engineer II
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Lead the development of data science products that meet the needs of our clients, with an emphasis on the ability to transform client needs into quantifiable data science solutions and…
Added 23 mins ago
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Senior Machine Learning Engineer
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Remote, United States
- $134,400 to $168,000 USD / year
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Added 30 mins ago
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Added 33 mins ago
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Experience in one or more programming languages such as C++, Go, or Python.
Added 48 mins ago
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Principal Backend Developer - Clinical Applications
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Principal Backend Developer - Clinical Applications Engineering Transform Healthcare Through Modern EHR Technology
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Project Manager
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Added 54 mins ago
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Remote, United States
- $150,000 to $175,000 USD / year
…platforms using AWS and modern DevOps technologies. You will lead infrastructure-as-code initiatives, develop sophisticated CI/CD pipelines, and support cloud-native application deployments…
Added 54 mins ago
Senior Staff Software Engineer, Android & IoT
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Added 1 hour ago
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Location Negotiable After Selection
- $106,437 to $172,980 USD / year
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Added 1 hour ago
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Equal Employment Opportunity Commission
Washington, DC
- $143,913 to $187,093 USD / year
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Added 1 hour ago
Project Manager
Instem Group of Companies
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Added 1 hour ago
Mid Career Spaceflight Hardware Propulsion Engineer
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Independently perform or lead propulsion and pressure-system analyses.
Added 1 hour ago
Mid Career Spaceflight Hardware Propulsion Engineer
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Independently perform or lead propulsion and pressure-system analyses.
Added 1 hour ago
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Lexington, MA
…problems. You may own discrete project/program components or lead complex workstreams and small…
Added 1 hour ago
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Added 1 hour ago
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Berkeley, MO
…engineers will be expected to develop technical product plans, lead and mentor younger engineers, be a face for communication with senior leadership and government…
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Senior Software Engineer
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United States
- $127,800 to $339,000 USD / year
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Added 1 hour ago
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● Lead collaboration with Product Management, Engineering, and Sales teams to translate complex customer needs into innovative, high-impact solutions.
Added 2 hours ago
Sr. Manager, Engineering- Mars Veterinary Health
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Added 3 hours ago
Manager, Optical Engineering
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Lead the optical systems engineering team within a multidisciplinary engineering function, partnering with hardware (mechanical, electrical) and software engineering to design, build, and…
Added 3 hours ago
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Senior Applications Security Engineer, AI & Automation Development
Centene Corporation
Jefferson City, MO
- $87,000 to $161,300 USD / year
…health metrics, adjust thresholds, identify trends that may lead to incidents, assist engineers with troubleshooting, and provide natural-language access to health…
Added 3 hours ago
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Lead Financial Analyst - AI
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The Finance AI Lead Analyst serves as an internal technical consultant and builder within the Retail Wireless Financial Planning & Analysis (FP&A) organization. Operating at the…

Closed listing

AbbVie

Principal Research Scientist I

North Chicago, IL, United States

$124,500 to $236,500 USD / year

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: $124,500 to $236,500 USD / year
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

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

AbbVie Analytical Research & Development (Analytical R&D) is a global analytical scientific organization responsible for all CMC analytical activities related to the development of AbbVie's pharmaceutical products. Our scope includes AbbVie's diverse pipeline of innovative small molecule medicines and spans from the selection of Discovery candidate molecules through Early-Stage Clinical Development. We are building a world-class team of scientists and leaders who will drive the advancement of industry-leading analytical capabilities and make meaningful contributions to advance AbbVie's pipeline of innovative medicines. Careers in AbbVie Analytical R&D provide unique opportunities to work with global and cross-functional teams to drive exceptional science and innovative product development strategies. We are looking for diverse candidates with strong scientific and leadership experience to join the AbbVie Analytical R&D team and can offer exciting and rewarding career opportunities for these candidates.

Position Description:

For the Principal Research Scientist I position, we are seeking a highly motivated and experienced data scientist to provide scientific and technical leadership for analytical data science, artificial intelligence/machine learning (AI/ML), advanced analytics, and data automation within Analytical R&D. The successful candidate will partner closely with analytical scientists to frame high-value scientific questions, engineer and integrate complex analytical data, and develop fit-for-purpose models, visualizations, and digital solutions that accelerate data-driven decisions across pharmaceutical development. The candidate will perform and direct data science and application-development activities, mentor and develop scientists, and provide leadership across multiple projects and initiatives. They will conceive, execute, and communicate multidisciplinary strategies; translate between analytical scientists, statisticians, data engineers, software and IT partners; and convert innovative concepts into sustainable, adopted solutions with measurable scientific and business impact. This role requires a strong combination of data science depth, pharmaceutical or scientific domain awareness, product-oriented solution development, and collaborative leadership. The scientist will help shape the Analytical R&D data science strategy, establish reusable standards and best practices, coordinate initiatives across a global network, and foster productive partnerships with internal data science, statistics, information technology, and R&D organizations.

Responsibilities:

Provide scientific and technical leadership for analytical data science, AI/ML, advanced analytics, visualization, and data automation initiatives supporting pharmaceutical development.
Consult with analytical scientists and project teams to define the scientific or business question, assess data readiness, select appropriate analytical approaches, and translate results into clear recommendations and decisions.
Lead the end-to-end delivery of data products and analytical solutions, including problem framing, data acquisition and integration, exploratory analysis, feature engineering, model development and validation, visualization, deployment, documentation, user adoption, and lifecycle support.
Develop and apply statistical, machine-learning, chemometric, and/or generative-AI methods to complex analytical data while ensuring approaches are scientifically sound, interpretable, reproducible, and fit for intended use.
Engineer, curate, and analyze structured and unstructured data from laboratory instruments, scientific systems, documents, and development workflows; improve data quality, traceability, accessibility, and reuse.
Design and deliver intuitive applications, dashboards, reports, and automated workflows that reduce manual effort, improve consistency, and enable scientists to obtain timely insights from their data.
Mentor, guide, and develop data scientists and scientific colleagues; provide technical coaching, peer review, and hands-on support, and create learning opportunities that strengthen data literacy and analytical capability across the organization.
Lead or coordinate a portfolio of data science initiatives, establish priorities and delivery plans, manage risks and dependencies, and communicate progress, value, and recommendations to project teams and senior stakeholders.
Establish and promote standards for analytical data assessment, model validation, software development, documentation, version control, testing, data governance, and sustainable solution support.
Build and foster a global network with Analytical R&D, Development Sciences, statistics, enterprise data science, IT, and external partners; connect teams to the appropriate expertise and facilitate effective cross-functional execution.
Identify high-value opportunities, generate new scientific proposals, evaluate emerging AI/ML and digital technologies, and champion responsible innovation that advances scientific understanding, development speed, quality, and operational efficiency.
Communicate complex methods and findings clearly to technical and nontechnical audiences through decision-focused presentations, reports, visualizations, and scientific publications where appropriate.
Ensure solutions and activities comply with applicable safety, quality, regulatory, data-integrity, privacy, security, and AbbVie requirements.

Qualifications

Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Chemometrics, Computational Science, Analytical Chemistry, Pharmaceutical Sciences, or a closely related discipline, typically with a minimum of 14 years (BS), 12 years (MS), or 6 years (Ph.D.) of relevant industry experience.
Demonstrated experience applying data science, AI/ML, statistics, or advanced analytics to scientific, pharmaceutical, biotechnology, chemical, or other complex R&D problems.
Advanced proficiency in Python and/or R and strong working knowledge of relevant data-science libraries, statistical modeling, machine learning, data visualization, and reproducible analytical workflows.
Experience integrating, cleaning, transforming, and analyzing complex and heterogeneous data; working knowledge of SQL, relational data concepts, APIs, and modern data-management practices.
Demonstrated ability to build and deliver production-quality analytical applications, dashboards, automated workflows, or reusable data products. Experience with tools such as Streamlit, Shiny, cloud platforms, workflow automation, or equivalent technologies is desirable.
Strong understanding of model development and evaluation, experimental design, uncertainty, validation, interpretability, and the limitations and appropriate use of AI/ML methods.
Demonstrated leadership through mentoring, technical direction, project or portfolio leadership, influence across functions, and delivery of complex initiatives. Prior direct people-management experience is beneficial but not required.
Proven ability to partner with domain scientists, quickly learn scientific workflows, translate ambiguous needs into tractable analytical problems, and balance technical rigor with practical, fit-for-purpose delivery.
Experience with software-development practices such as Git/version control, modular coding, testing, documentation, code review, deployment, and lifecycle management.
Excellent analytical problem-solving, project-management, written and oral communication, and stakeholder-management skills, including the ability to explain complex concepts to diverse audiences.
Self-motivated, collaborative, and adaptable, with demonstrated scientific curiosity, creativity, sound judgment, and the ability to manage multiple priorities in a fast-paced R&D environment.
Knowledge of pharmaceutical development, CMC, analytical laboratory workflows, regulated environments, data integrity, or scientific data standards is strongly preferred.
Experience with computational chemistry and molecular modeling approaches to investigate molecular properties, structure–property relationships, or other scientific questions relevant to pharmaceutical development is desirable.

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 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

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More about this job

Skills

Research
Pharmaceutical products
Leadership
ML
Statistics
Computer technology
Inspect data
Documentation
Machine learning
Unstructured data
Coaching
Software development
Presentation skills
Computer science
Analytical chemistry
Biotechnology
Python
R
Data visualization
Cleaning
SQL
Data management
Shiny
Workflow
Team leadership
Git
Problem solving
Project management
Communication skills
Stakeholder management
Adaptability
Compensation and benefits

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