Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Biofuels/Biodiesel Technology and Product Development Managers
Occupation · SOC 11-9041.01
Define, plan, or execute biofuels/biodiesel research programs that evaluate alternative feedstock and process technologies with near-term commercial potential.
Also called: Analytical Research Program Manager · Biodiesel Division Manager · Laboratory Manager (Lab Manager) · Project Development Director · Biofuels Manager · Business Development and New Technology Manager · Biodiesel Engineering Manager · Biodiesel Product Development Manager · Biodiesel Product Manager · Biodiesel Technology Development Manager · Biodiesel Technology Manager · Biofuels Engineering Manager
Job family: Management Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-9041-01/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+3.8% by 2034)
- 14,500 openings/yr
- Moderate AI exposure
- Median pay $167,740/yr
- Work is mostly on-site (not teleworkable)
- A reversal from 2013 — rated low automation risk then (13th), high AI task-overlap now (59th)
59th-percentile task overlap — yet about 14,500 openings a year (+3.8% projected, BLS) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 68th | 0.8 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 57th | 0.7 | |
| AI assistant applicability (Microsoft) Moderate | 56th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.4), and including AI-powered software (γ 0.7). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.0 · 13th percentile among occupations · Low
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Design chemical conversion processes, such as etherification, esterification, interesterification, transesterification, distillation, hydrogenation, oxidation or reduction of fats and oils, and vegetable oil refining. | 0.3% | |
| Provide technical or scientific guidance to technical staff in the conduct of biofuels research or development. | 0.3% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +3.8% by 2034 |
| Projected annual openings | 14,500 |
| Employment 2024 → 2034 | 212,500 → 220,500 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Biofuels/Biodiesel Technology and Product Development Managers sits at the 77th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
40% mean task exposure (2025)
77th percentile of 427 placed occupations
+16 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Research and Development Managers · 1223 | 40% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Tasks
All 19 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Design or conduct applied biodiesel or biofuels research projects on topics, such as transport, thermodynamics, mixing, filtration, distillation, fermentation, extraction, and separation. Core · importance 4.1
- Analyze data from biofuels studies, such as fluid dynamics, water treatments, or solvent extraction and recovery processes. Core · importance 4.0
- Prepare, or oversee the preparation of, experimental plans for biofuels research or development. Core · importance 3.9
- Provide technical or scientific guidance to technical staff in the conduct of biofuels research or development. Core · importance 3.9
- Propose new biofuels products, processes, technologies or applications based on findings from applied biofuels or biomass research projects. Core · importance 3.8
- Conduct experiments on biomass or pretreatment technologies. Core · importance 3.7
- Prepare biofuels research and development reports for senior management or technical professionals. Core · importance 3.7
- Develop lab scale models of industrial scale processes, such as fermentation. Core · importance 3.6
- Oversee biodiesel/biofuels prototyping or development projects. Core · importance 3.6
- Develop methods to estimate the efficiency of biomass pretreatments. Supplemental · importance 3.5
- Conduct experiments to test new or alternate feedstock fermentation processes. Core · importance 3.5
- Conduct research to breed or develop energy crops with improved biomass yield, environmental adaptability, pest resistance, production efficiency, bioprocessing characteristics, or reduced environmental impacts. Supplemental · importance 3.4
- Perform protein functional analysis and engineering for processing of feedstock and creation of biofuels. Supplemental · importance 3.4
- Develop computational tools or approaches to improve biofuels research and development activities. Supplemental · importance 3.4
- Develop separation processes to recover biofuels. Supplemental · importance 3.3
- Design chemical conversion processes, such as etherification, esterification, interesterification, transesterification, distillation, hydrogenation, oxidation or reduction of fats and oils, and vegetable oil refining. Supplemental · importance 3.2
- Design or execute solvent or product recovery experiments in laboratory or field settings. Supplemental · importance 3.0
- Develop methods to recover ethanol or other fuels from complex bioreactor liquid and gas streams. Supplemental · importance 3.0
- Develop carbohydrates arrays and associated methods for screening enzymes involved in biomass conversion. Supplemental
Work activities
- Model operational processes.
- Develop technical processes to improve the efficiency of biofuel production.
- Supervise workers performing environmentally sustainable activities.
- Develop operating strategies, plans, or procedures for green or sustainable operations.
- Communicate green energy production information.
- Test green technologies or processes.
- Evaluate energy production data.
- Direct green energy production operations.
- Develop specifications for new products or processes.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| English Language | 4.1 | |
| Chemistry | 4.0 | |
| Engineering and Technology | 3.9 | |
| Mathematics | 3.6 | |
| Production and Processing | 3.4 | |
| Computers and Electronics | 3.3 | |
| Mechanical | 3.2 |
Abilities
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Written Expression | 3.9 | |
| Information Ordering | 3.9 | |
| Oral Expression | 3.8 | |
| Inductive Reasoning | 3.8 | |
| Originality | 3.5 | |
| Category Flexibility | 3.5 | |
| Mathematical Reasoning | 3.5 | |
| Selective Attention | 3.5 | |
| Near Vision | 3.5 | |
| Fluency of Ideas | 3.4 | |
| Speech Recognition | 3.4 | |
| Speech Clarity | 3.4 | |
| Number Facility | 3.3 | |
| Flexibility of Closure | 3.3 |
Essential skills
| Reading Comprehension | 3.6 | |
| Writing | 3.6 | |
| Speaking | 3.6 | |
| Critical Thinking | 3.6 | |
| Active Listening | 3.5 | |
| Active Learning | 3.3 | |
| Monitoring | 3.3 | |
| Mathematics | 3.1 | |
| Science | 3.1 |
Transferable skills
| Complex Problem Solving | 3.6 | |
| Judgment and Decision Making | 3.6 | |
| Systems Analysis | 3.6 | |
| Systems Evaluation | 3.5 | |
| Coordination | 3.3 | |
| Time Management | 3.3 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 46.
Tools & technology
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 4 — Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Preparation level
- SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study: Architecture and Related Services , Business, Management, Marketing, and Related Support Services , Engineering , Engineering/Engineering-Related Technologies/Technicians , Physical Sciences . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Bachelor's Degree | 55.4% | |
| Master's Degree | 28.6% | |
| Associate's Degree (or other 2-year degree) | 5.8% | |
| Post-Secondary Certificate | 4.8% | |
| Post-Doctoral Training | 1.4% | |
| High School Diploma | 1.3% | |
| Doctoral Degree | 1.3% | |
| Post-Baccalaureate Certificate | 1.2% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Investigative | 5.8 | |
| Enterprising | 4.7 | |
| Realistic | 4.2 | |
| Conventional | 3.5 | |
| Artistic | 2.1 | |
| Social | 2.1 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $111,450 |
| 25th percentile | $134,930 |
| Median (50th) | $167,740 |
| 75th percentile | $207,210 |
| 90th percentile | — |
| People employed | 210,340 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 11-9041), not for the specialty alone.
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 77,010 | $169,210 |
| Manufacturing · Sector | 73,820 | $166,850 |
| Engineering Services · National industry | 44,790 | $167,720 |
| Management of Companies and Enterprises · Sector | 11,580 | $173,200 |
| Wholesale Trade · Sector | 8,030 | $167,760 |
| Utilities · Sector | 4,690 | $165,300 |
| Construction · Sector | 4,050 | $153,510 |
| Information · Sector | 3,470 | $204,010 |
| Transportation and Warehousing · Sector | 2,320 | $169,200 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 1,880 | $206,480 |
| Testing Laboratories and Services · National industry | 1,800 | $143,730 |
| Finance and Insurance · Sector | 930 | $175,620 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Engineering Services · National industry | 28.4× | 44,790 |
| Nuclear Electric Power Generation · National industry | 13.62× | 690 |
| Wind Electric Power Generation · National industry | 12.55× | 170 |
| Solar Electric Power Generation · National industry | 10.51× | 200 |
| Testing Laboratories and Services · National industry | 7.74× | 1,800 |
| Fossil Fuel Electric Power Generation · National industry | 6.68× | 650 |
| Utilities · Sector | 5.93× | 4,690 |
| Professional, Scientific, and Technical Services · Sector | 5.24× | 77,010 |
Related occupations
Part of the Advanced Manufacturing , Agriculture , Arts, Entertainment, & Design , Construction and Energy & Natural Resources career clusters.
- Biofuels Production Managers · 11-3051.03 Compare →
- Chemical Engineers · 17-2041.00 Compare →
- Biomass Power Plant Managers · 11-3051.04 Compare →
- Geothermal Production Managers · 11-3051.02 Compare →
- Nanotechnology Engineering Technologists and Technicians · 17-3026.01 Compare →
- Manufacturing Engineers · 17-2112.03 Compare →
- Energy Engineers, Except Wind and Solar · 17-2199.03 Compare →
- Wind Energy Development Managers · 11-9199.10 Compare →
- Water/Wastewater Engineers · 17-2051.02 Compare →
- Bioengineers and Biomedical Engineers · 17-2031.00 Compare →
- Biofuels Processing Technicians · 51-8099.01 Compare →
- Biomass Plant Technicians · 51-8013.03 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Biofuels/Biodiesel Technology and Product Development Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Architecture and Related Services · field of study
- Business, Management, Marketing, and Related Support Services · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 77th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Biofuels/Biodiesel Technology and Product Development Managers show 59th-percentile AI task overlap — and about 14,500 annual U.S. openings
- Biofuels/Biodiesel Technology and Product Development Managers rank in the 59th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 14,500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+3.8%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $167,740, across about 210,340 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Biofuels/Biodiesel Technology and Product Development Managers show 59th-percentile AI task overlap — and about 14,500 annual U.S. openings • Biofuels/Biodiesel Technology and Product Development Managers rank in the 59th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 14,500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+3.8%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $167,740, across about 210,340 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Biofuels/Biodiesel Technology and Product Development Managers". https://singulariki.com/roles/role-11-9041-01 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Biofuels/Biodiesel Technology and Product Development Managers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-11-9041-01
APA
Singulariki. (2026). Biofuels/Biodiesel Technology and Product Development Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-9041-01
BibTeX
@misc{singulariki-role-11-9041-01,
title = {Biofuels/Biodiesel Technology and Product Development Managers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-11-9041-01}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.