Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide.
Youâll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys.
With support from our strategic partners, robust IBM technology, and Red Hat, youâll have the tools to drive meaningful change and accelerate client impact.
At IBM Consulting, curiosity fuels success.
Youâll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results.
Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your role and responsibilities
As a Quality Engineer specializing in Test Quality, you will support the delivery team in achieving high-quality test outcomes by applying a structured approach, test practices, and technical solutions.
You will contribute to improved time to market by driving improvements through integrated metrics and measurements.
Required technical and professional expertise
Exposure to Test Optimization: Familiarity with utilizing model-based Test Design approaches and accelerating Test automation using platforms like IGNITE.
Basic Understanding of Test Automation: Interest in leveraging cognitive tools and techniques to transform detection-based testing into prevention-based Quality Engineering.
Interest in Quality Planning: Awareness of preparing and guiding teams on Quality Plans and overall Quality for project lifecycles, focusing on quality assurance and continuous improvement.
Curiosity about Quality Metrics: Basic understanding of developing easily consumable technical test practices through integrated metrics and measurements.
Exposure to Team Collaboration: Participation in team settings to achieve high-quality software products through quality engineering best practices.
Preferred technical and professional experience
Test Automation Knowledge: Interest in leveraging cognitive tools and techniques to transform detection-based testing into prevention-based Quality Engineering, with a basic understanding of related concepts and technologies.
Quality Planning Awareness: Awareness of preparing and guiding teams on Quality Plans and overall Quality for project lifecycles, focusing on quality assurance and continuous improvement, with an interest in learning more.
Model-Based Testing: Exposure to model-based Test Design approaches, with curiosity about accelerating Test automation using platforms like IGNITE.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.
IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility.
We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'.
There are so many reasons to join us.
If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.
Research and Impact Acceleration
Research and Impact Acceleration (m/f/d)




The incumbent for this position may be based in the United States (US), Germany.
Bayer Talent Acquisition is accepting applications for these locations under one global job posting which follows each country's individual employment laws.
As such, applicants should expect to experience differences in the application process which are unique from a single country posting.
As the Research and Impact Acceleration Lead, you are part of the Product Design Capability Center and report to the Head of Product Design.
In this role, you define and lead the vision, strategy, and multi-year plan for accelerating research and impact across the team through improvements in germplasm improvement units.
You mobilize the organization to turn speed of learning, evidence quality, and iteration capacity into a durable competitive advantage in how the early part of the breeding pipeline operates, ensuring that innovation translates into faster, higher-quality product delivery for growers and customers worldwide.
YOUR TASKS AND RESPONSIBILITIES
Define the vision and multi-year strategy for research acceleration across the early breeding pipeline, framing where faster learning creates durable competitive advantage and translating this into a prioritized portfolio against the highest-value constraints in cycle time, genetic gain, decision quality, and product delivery;
Establish how the organization formulates and answers research questions by setting standards for hypothesis-driven design, decision-ready evidence, and disciplined scale, pivot, or stop decisions so that rapid iteration becomes the default operating rhythm rather than a collection of individual projects;
Shape the enabling-technology agenda across accelerated breeding, genomics, phenotyping, predictive analytics, automation, and digital workflows, directing investment and partnerships toward the capabilities that will differentiate the pipeline;
Lead the adoption strategy that institutionalizes proven innovation, governing the standards, workflows, training, and change management required to embed new practices across crops and regions at scale;
Own the impact narrative and its metrics by defining how acceleration value is measured and reported on cycle time, genetic gain, cost, quality, and adoption, and using that evidence to steer investment, leadership decisions, and the Long-Range Plan;
Provide technical, strategic, and product knowledge to the Capability Center, strategically contributing to key global Precision Breeding, Breeding, and R&D; focus areas;
Lead and contribute to General Breeding strategies and the Long-Range Plan (LRP), ensuring alignment with high-level functional and commercial goals;
Engage strategically with key universities to coach and guide future talent development, ensuring Bayer is viewed as a strategic talent destination of choice;
Serve as a member of various L3 leadership units across commercial and product supply teams, helping connect research acceleration with downstream product and supply decisions;
Ensure a strong focus on HS&E;, Compliance, DEI, Business Conduct, and Human Rights across the Capability Hub, fostering a culture that emphasizes ethical practices, safety, inclusion, and responsibility.
WHO YOU ARE
Required Qualifications:
PhD degree or MS degree in Plant or Animal Breeding, Quantitative or Statistical Genetics, Data Science, or a related field




Strong knowledge of advanced breeding technologies, advanced analytics and information technologies, genomics, and/or quantitative genetics, with a proven track record of driving innovation into applied pipelines;
Strong ability to collaborate and build cross-functional partnerships to solve complex business and technical problems across regions and functions;
Demonstrated ability to embrace and role-model VACC leadership attributes, aligned with Bayer's Values, Ambition, Collaboration, and Creativity expectations, within the Capability Center and with peers and colleagues across Bayer Crop Science.
Preferred Qualifications:
5+ years of technology leadership experience, or MS degree with 8+ years of technology leadership experience;
Experience leading research acceleration, precision breeding, or early pipeline innovation initiatives in a global R&D; environment;
Experience working within large, matrixed organizations and contributing to cross-functional strategies that span R&D;, product design, and commercial teams;
Proven ability to influence senior stakeholders and drive adoption of new ways of working across diverse teams and geographies;
Strong communication skills with the ability to translate complex scientific and strategic concepts into clear, decision-ready insights for leadership and partners.
Listed below are aspects of the application process which may be present to maintain job posting compliance in the multiple countries which this position is posted.
United States
In the US, employees can expect to be paid a salary between ($ to $ ).
This range reflects the national US market rate ("salary range") for base pay for the relevant role.
Additional compensation may include a bonus or incentive compensation (if relevant).
Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.
This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
In the US, employees can expect to be paid a bonus or incentive compensation (if relevant) in addition to the base salary.
Germany
All applicants who apply to a posting which can be located in Germany are given the option to disclose if they have a severe disability as certified by German authorities.
This is a voluntary question, and applicants are given the option to answer as not applicable if they prefer not to disclose.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.
Bayer is an E-Verify Employer.
Location:
United States : Missouri : Chesterfield | Argentina : Buenos Aires : Camet, Mar del Plata | Argentina : Buenos Aires : Fontezuela | Argentina : Buenos Aires : Munro | Argentina : Buenos Aires : Pergamino | Argentina : Buenos Aires : Pilar | Argentina : Buenos Aires : Rojas | Argentina : Buenos Aires : Zarate | Argentina : Buenos Aires : Zarate | Brazil : São Paulo : São Paulo | Canada : Alberta : Calgary | Canada : Manitoba : Winnipeg | Canada : Ontario : Guelph | Canada : Ontario : Mississauga | Germany : North Rhine Westfalia : Monheim
Division:
Crop Science
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