Senior Scientist II, Pharmaceutical Development – Thermodynamics & AI/ML Applications (all genders) (fulltime, regular)
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 DescriptionAbbVie'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 X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.
Job Description
People. Passion. Possibilities. Three words that make a world of difference.
More than a job. It's a chance to make a real difference.
Welcome to AbbVie! As part of an international company with 48,000 employees worldwide and around 3,000 employees in Germany, you will have the opportunity of addressing some of tomorrows unmet medical needs in close collaboration with your colleagues. Are you passionate about improving global health care? Do you want to contribute to improving patients' quality of life through your expertise? In a challenging work environment that offers opportunities of developing and increasing your own skills? Youve come to the right place!
Together, we break through – as Senior Scientist II, Pharmaceutical Development – Thermodynamics & AI/ML Applications (all genders)
In this role you'll contribute to the design and application of thermodynamics-based and AI/ML-enabled solutions that support pharmaceutical formulation and process development. The role is responsible for translating complex physicochemical and process data into predictive insight, with emphasis on solubility, phase behavior, physical stability, and material interactions relevant to robust product and process design.
Working in a multidisciplinary environment, you`ll develop and apply hybrid modeling approaches that combine first-principles understanding with machine learning methods, ensuring models are scientifically grounded, fit for purpose, and operationally useful. You`ll also develop (in-silico) digital tools and decision-support workflows that enable broader adoption of modeling outputs across development teams.
Make your mark:
- Develop and apply predictive models to guide formulation and process development decisions across pharmaceutical programs.
- Apply thermodynamic and quantum mechanical principles to predict key material and product behaviors such as solubility, phase behavior, crystallization, supersaturation, and moisture sensitivity.
- Build and improve models for physical stability, material compatibility, excipient interactions, and process-related performance of drug substances and drug products.
- Create and implement practical tools and workflows using hybrid physics-based and machine learning approaches that integrate mechanistic insight with experimental and historical data.
- Define and execute robust model validation strategies, including uncertainty assessment, applicability domain evaluation, and clear performance documentation.
- Convert complex datasets into actionable insights for formulation selection, risk assessments, experiment prioritization, and overall development strategy.
- Communicate model findings, assumptions, limitations, and recommendations clearly to both technical and non-technical stakeholders while supporting modeling best practices and reproducibility.
- Work closely with thermodynamic modeling experts, internal modeling teams, and laboratory scientists to ensure model development addresses real-world development needs.
This is how you make a difference:
- Advanced degree (PhD) in pharmaceutical sciences, chemical engineering, physical chemistry, materials science, data science for physical systems or related disciplines.
- Strong understanding of thermodynamics and its application to pharmaceutical materials, formulations, and process performance.
- Proven ability to perform quantitative modeling and analyze and interpret physicochemical experimental data.
- Experience using AI/ML for scientific or engineering problems, with focus on data quality, model suitability, and interpretability.
- Ability to combine mechanistic insight with data-driven methods to address real-world development challenges.
- Proficiency in structuring analyses, documenting methods, and presenting conclusions in a business-relevant manner.
- Strong collaboration and professional communication skills for working across cross-functional, technical, and international teams.
- Excellent written and verbal communication skills in English
What we offer you:
- with a diverse work environment where you can have a real impact
- with an open corporate culture
- with an attractive salary
- with an intensive onboarding process with a mentor at your side
- with flexible work models for a healthy work-life balance
- with a corporate health management that offers comprehensive health and exercise programs
- with company social benefits
- with a wide range of career opportunities in an international organization
- with top-tier, attractive development opportunities
- with a strong international network
At multiple times, we have been globally recognized as a "Great Place to Work" and we are proud to provide our employees with the flexibility to maintain a healthy work-life balance. We take our impact on the environment and our communities seriously and therefore focus on giving something back on a regular basis. We are committed to equality, equity, diversity and inclusion (EED&I) – a commitment that is fundamental to us. This includes appreciating different perspectives, creating an inclusive culture and treating all employees with dignity and respect.
At AbbVie, your individual contributions count – help us move mountains together. Be a part of our success, grow with us and accomplish more than you could have imagined. Sounds like the perfect career opportunity for you? We look forward to receiving your application! All you need is a complete CV – we will discuss everything else with you in person.
Any questions? Feel free to email [email protected] – We look forward to hearing from you!
Additional Information
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
- Advanced degree (PhD) in pharmaceutical sciences, chemical engineering, physical chemistry, materials science, data science for physical systems or related discipline
- Strong understanding of thermodynamics and its application to pharmaceutical materials, formulations, and process performance
- Proven ability to perform quantitative modeling and analyze and interpret physicochemical experimental data
- Experience using AI/ML for scientific or engineering problems, focusing on data quality, model suitability, and interpretability
- Ability to combine mechanistic insight with data-driven methods to address real-world development challenges
- Proficiency in structuring analyses, documenting methods, and presenting conclusions in a business-relevant manner
- Strong collaboration and professional communication skills for working across cross-functional, technical, and international teams
- Excellent written and verbal communication skills in English
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 — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
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Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
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Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.
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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.
