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Research Scientist III, Material Science - Decatur, IL
ADM Research & Development
This is an exempt level position.
Position Summary
The Material Science R&D team is seeking an innovative and highly motivated Research Scientist III, Material Science to accelerate ingredient innovation across ADM's portfolio of food and non-food solutions. This role will leverage material science principles and advanced characterization techniques to establish structure-function relationships that enable differentiated products, process improvements, and new technology development.
The successful candidate will serve as a technical expert within cross-functional innovation teams and will apply scientific rigor, creativity, and data-driven approaches to solve complex technical challenges. This individual will drive research projects from concept through implementation while collaborating with colleagues across R&D, Operations, and Commercial teams.
Key Responsibilities
- Design, execute, analyze, and interpret experiments using advanced materials characterization techniques to understand ingredient structure-function relationships
- Utilize advanced analytical tools and characterization techniques including light and electron microscopy, particle characterization, spectroscopy, thermal analysis, rheology, and surface characterization techniques
- Apply advanced electron and light microscopy methods, including sample preparation, imaging, and microstructural analysis, to characterize food ingredients and materials, solve technical challenges, and support R&D and commercial projects
- Develop, validate, and implement analytical methods, procedures, and standard operating procedures (SOPs)
- Perform routine instrument maintenance, troubleshooting, and coordination of external service activities as needed
- Apply statistical analysis and Design of Experiments (DOE) methodologies to optimize experimental design and data interpretation
- Lead research projects independently and contribute to multidisciplinary teams using stage-gate innovation process
- Identify emerging technologies, scientific trends, and competitive opportunities through literature reviews, patent analysis, and technical scouting
- Effectively communicate technical results through reports, presentations, and stakeholder updates
- Collaborate across functional teams to drive project success and accelerate innovation
- Contribute to continuous improvement initiatives that enhance laboratory capabilities, efficiency, and scientific excellence
- Maintain accurate laboratory records and electronic documentation in accordance with company policies
- Champion a strong safety culture and ensure compliance with laboratory safety procedures and policies
Job Requirements
- Ph.D. in Materials Science, Food Science, Chemistry, Chemical Engineering, or a related scientific discipline with 0-3 years relevant industrial experience; or M.S. degree with 5+ years of relevant industrial research experience
- Demonstrated experience applying advanced characterization techniques to understand structure-function relationships in complex material systems
- Strong knowledge of material science characterization techniques and correlation with ingredient functionality
- Experience with image analysis software, advanced data analytics, multivariate statistical tools, DOEs, and data-driven experimental design
- Experience in food ingredients, biobased materials, proteins, carbohydrates, hydrocolloids, emulsions, or other complex ingredient systems
- Proven ability to manage multiple projects and priorities in a fast-paced research environment.
- Strong problem-solving, organizational, and technical communication skills
- Ability to work independently while effectively collaborating across multidisciplinary teams
- Commitment to laboratory safety and scientific excellence
Excited about this role but don’t think you meet every requirement listed? We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings.
ADM requires the successful completion of a background check.
REF:113492BR
Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
The pay range for this position is expected to be between:
$70,400.00 - $129,000.00
Salaried Incentive Plan
The total compensation package for this position will also include annual bonus
Benefits and Perks
Enriching the quality of life for the world begins by taking care of our colleagues. In addition to competitive pay, we support your diverse needs with a comprehensive total rewards package to enhance your well-being, including:
- Physical wellness – medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable).
- Financial wellness – flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers’ compensation, legal assistance, identity theft protection.
- Mental and social wellness – Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares).
Additional benefits include:
- Paid time off including paid holidays.
- Adoption assistance and paid maternity and parental leave.
- Tuition assistance.
- Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs.
- Benefits may vary for bargained locations, confirm benefit eligibility with your recruiter.
#IncludingYou
Diversity, equity, inclusion and belonging are cornerstones of ADM’s efforts to continue innovating, driving growth, and delivering outstanding performance. We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments — environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career. We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together.
We welcome everyone to apply. We are committed to ensuring all qualified applicants receive consideration for employment regardless of race, color, ethnicity, disability, religion, national origin, language, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law
About ADM
At ADM, we unlock the power of nature to provide access to nutrition worldwide. With industry-advancing innovations, a complete portfolio of ingredients and solutions to meet any taste, and a commitment to sustainability, we give customers an edge in solving the nutritional challenges of today and tomorrow. We’re a global leader in human and animal nutrition and the world’s premier agricultural origination and processing company. Our breadth, depth, insights, facilities and logistical expertise give us unparalleled capabilities to meet needs for food, beverages, health and wellness, and more. From the seed of the idea to the outcome of the solution, we enrich the quality of life the world over. Learn more at www.adm.com.
Req/Job ID
113492BR
#LI-Onsite
Ref ID
#LI-DR3
Research Scientist III, Material Science - Decatur, IL | Archer Daniels Midland
Salary Context
This $70K-$129K range is in the lower quartile for Research Scientist roles in our dataset (median: $199K across 63 roles with salary data).
Role Details
About This Role
Research Scientists push the boundaries of what AI can do. They design experiments, develop novel architectures, publish papers, and translate research breakthroughs into production capabilities. This is where the fundamental advances happen, from attention mechanisms to diffusion models to reasoning chains.
The work is intellectually demanding and often ambiguous. You might spend months on an approach that doesn't pan out. The best research scientists combine deep mathematical intuition with engineering pragmatism. They know when to go deep on theory and when to run experiments. They read papers voraciously and can spot incremental contributions from genuine breakthroughs.
Across the 9,079 AI roles we're tracking, Research Scientist positions make up 2% of the market. At ADM, this role fits into their broader AI and engineering organization.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
What the Work Looks Like
A typical week includes: reading and discussing recent papers with your team, designing and running experiments on multi-GPU clusters, analyzing results and iterating on hypotheses, writing up findings for internal review or publication, and collaborating with engineering teams to productionize promising results. The ratio of thinking to coding is higher than in engineering roles.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
Skills in Demand for This Role
PhD strongly preferred for most roles. Deep expertise in a specific area (NLP, computer vision, reinforcement learning, multimodal) is expected. PyTorch is the standard. Publication track record matters. Strong mathematical foundations in linear algebra, probability, optimization, and information theory are assumed.
Beyond the fundamentals, companies value experience with large-scale distributed training, novel architecture design, and the ability to bridge theory and practice. Understanding of current frontier topics (reasoning, multimodal, long-context, alignment) is essential. Code quality matters more than many researchers expect. Labs want researchers who can implement their ideas cleanly.
Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
Compensation Benchmarks
Research Scientist roles pay a median of $222,200 based on 749 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($99K) sits 55% below the category median. Disclosed range: $70K to $129K.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
ADM AI Hiring
ADM has 2 open AI roles right now. They're hiring across Research Scientist, AI/ML Engineer. Positions span Decatur, IL, US, Erlanger, KY. Compensation range: $129K - $129K.
Location Context
Across all AI roles, 6% (531 positions) offer remote work, while 8,478 require on-site attendance. Top AI hiring metros: New York (3,078 roles, $221,000 median); San Francisco (2,646 roles, $261,000 median); Los Angeles (1,486 roles, $210,000 median).
Career Path
Common paths into Research Scientist roles include PhD Student, Research Engineer, Postdoc.
From here, career progression typically leads toward Research Lead, Distinguished Scientist, VP of Research.
The PhD is the entry point for most paths. Choose your advisor and research area carefully since they'll define your first industry position. Publish consistently, contribute to open-source projects in your area, and build relationships at conferences. Industry research offers better compensation and compute resources than academia, but the pressure to show product impact is real.
What to Expect in Interviews
Research interviews are multi-stage: a research talk (present your best paper), technical deep-dives on your methodology, and often a 'research proposal' exercise where you design an experiment to test a hypothesis. Coding rounds test implementation ability alongside theoretical knowledge. Be prepared to implement a paper from scratch and discuss the design choices the authors made. Strong candidates can critique papers constructively and identify gaps in experimental methodology.
When evaluating opportunities: Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
AI Hiring Overview
The AI job market has 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 roles).
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
The AI Job Market Today
The AI job market spans 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (4,384) and senior (3,343) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $256,000 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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