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How a biofuels/biodiesel technology / product development manager can use AI, task by task

O*NET 11-9041.01: Biofuels/Biodiesel Technology and Product Development ManagersMedian pay $171,270/year (BLS, May 2025)18 tasksJob Zone 4: Considerable preparation

Define, plan, or execute biofuels/biodiesel research programs that evaluate alternative feedstock and process technologies with near-term commercial potential.

Type your own title and every prompt on this page updates to match. Also called: Analytical Research Program Manager, Biodiesel Division Manager, Biofuels Manager, Business Development and New Technology Manager, Laboratory Manager (Lab Manager), Project Development Director.

Where AI fits in this job

AI-ready 30%AI-assist 54%Stays human 16%

Share of the job's tasks, weighted by how important and how frequent each task is (O*NET ratings). 4 AI-ready, 12 AI-assist and 2 human-led tasks out of 18. This measures where AI can help, not whether the job will disappear.

Information & paperwork
Thinking & planning
People & communication
Leading & teaching
Hands-on & physical

Shape of the job: importance of each kind of work activity (O*NET, 1 to 5).

💪 Lean into these

Core tasks that stay human. These skills get more valuable as the routine work gets automated.

  1. Provide technical or scientific guidance to technical staff in the conduct of biofuels research or development.Lead people · Weekly
  2. Oversee biodiesel/biofuels prototyping or development projects.Lead people · Monthly

AI can draft these 4

AI produces a usable first pass. You review it, fix it and own it.

Analyze data from biofuels studies, such as fluid dynamics, water treatments, or solvent extraction and recovery processes.

Weekly

AI finds trends and writes the spreadsheet formulas.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to analyze data from biofuels studies, such as fluid dynamics, water treatments, or solvent extraction and recovery processes.

Context: We use GE Energy GateCycle and Agilent ChemStation; the work draws on chemistry, engineering and technology and production and processing.
Plant: [biofuel, biomass, power plant]
Data: [paste production logs, output vs demand]

Compare output with targets and demand, flag abnormal readings or days, and suggest operational changes. Give the formulas so I can rebuild the numbers.

10-minute exercise: Production data check

Step 1Pick a real example: the next time you analyze data (this week).
Step 2Fill in [Plant] and [Data] with the real details, then run the prompt.
Step 3Rebuild the main figure with the formulas, then check one abnormal day against the shift notes.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Importance 4.0/5 · core task · O*NET work activity: Evaluate energy production data..

Prepare, or oversee the preparation of, experimental plans for biofuels research or development.

Monthly

AI drafts the plan, schedule or checklist for you to adjust.

Show prompt & steps

Describe the goal, the people and the constraints, and AI drafts the plan, schedule or checklist. You adjust it to what you know about real life on the ground.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to prepare, or oversee the preparation of, experimental plans for biofuels research or development.

Context: We use Microsoft Project and Oracle Primavera Enterprise Project Portfolio Management; the work draws on chemistry, engineering and technology and production and processing.
Operation: [geothermal, biofuel research]
Goals: [output, efficiency]

Draft operating plans and schedules. Lay it out as a table with steps, owner, timing and what could go wrong, then list the decisions I still need to make.

10-minute exercise: Green operations plan

Step 1Pick a real example: the next time you prepare, or oversee the preparation of and experimental plans.
Step 2Fill in [Operation] and [Goals] with the real details, then run the prompt.
Step 3Cross out anything that won't work on the ground and ask AI to revise with your corrections.

AI doesn't know your people, your site or your history. Treat its plan as a starting point to react to.

Importance 3.9/5 · core task · O*NET work activity: Develop operating strategies, plans, or procedures for green or sustainable operations..

Develop lab scale models of industrial scale processes, such as fermentation.

Monthly

AI finds trends and writes the spreadsheet formulas.

Show prompt & steps

Paste a spreadsheet or table and ask AI to find trends, outliers and totals, or to write the formula you need. It's like having an analyst on call.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to develop lab scale models of industrial scale processes, such as fermentation.

Context: We use Agilent ChemStation and Fleet Asset Management and Optimization Solutions FAMOS PEPSE; the work draws on chemistry, engineering and technology and production and processing.
Process: [construction method, production process, fermentation]
Inputs and outputs: [rates, costs, times]

Build a simple spreadsheet model with inputs, formulas and outputs, then run 3 what-if scenarios. Show your working step by step and give spreadsheet formulas so I can reproduce the numbers.

10-minute exercise: Build a simple process model

Step 1Pick a real example: the next time you develop lab scale models of industrial scale processes.
Step 2Fill in [Process] and [Inputs and outputs] for a real decision.
Step 3Run one what-if that matters to you and sanity-check the result.

AI makes arithmetic mistakes. Recompute anything that matters with a spreadsheet formula.

Importance 3.6/5 · core task · O*NET work activity: Model operational processes..

Prepare biofuels research and development reports for senior management or technical professionals.

Monthly

AI turns complex material into plain-language handouts.

Show prompt & steps

AI is great at turning complicated material into plain-language guides, handouts, FAQs and how-tos for a specific audience. You check it's accurate.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to prepare biofuels research and development reports for senior management or technical professionals.

Context: We use Python and Microsoft SQL Server Reporting Services SSRS; the work draws on chemistry, engineering and technology and production and processing.
Conditions: [output, issues]
Audience: [employees, supervisors]

Draft a clear update. Use plain language, one everyday analogy, and the questions people are most likely to ask with short answers.

10-minute exercise: Plant conditions update

Step 1Pick a real example: the next time you prepare biofuels research and development reports.
Step 2Fill in [Conditions] and [Audience] with the real details, then run the prompt.
Step 3Check every answer is right for your workplace before you share it.

Rules, prices and policies change. Make sure AI is working from your current official version.

Importance 3.7/5 · core task · O*NET work activity: Communicate green energy production information..

AI can help you prep these 12

AI speeds up the prep, drafting or thinking. The core of the task is still yours.

Design or conduct applied biodiesel or biofuels research projects on topics, such as transport, thermodynamics, mixing, filtration, distillation, fermentation, extraction, and separation.

Weekly

AI lays out options and timelines to react to.

Show prompt & steps

AI can lay out options, timelines and checklists to react to. Fitting it to your people, budget and situation is your call.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to design or conduct applied biodiesel or biofuels research projects on topics, such as transport, thermodynamics, mixing, filtration, distillation, fermentation, extraction, and separation.

Context: We use Microsoft Project and Oracle Primavera Enterprise Project Portfolio Management; the work draws on chemistry, engineering and technology and production and processing.
Process: [pretreatment, fermentation]
Goal: [yield, cost]

Plan methods to measure and improve efficiency. Lay it out as a table with steps, owner, timing and what could go wrong, then list the decisions I still need to make.

10-minute exercise: Biofuel efficiency study

Step 1Pick a real example: the next time you design or conduct applied biodiesel or biofuels research projects (this week).
Step 2Fill in [Process] and [Goal] with the real details, then run the prompt.
Step 3Cross out anything that won't work on the ground and ask AI to revise with your corrections.

AI doesn't know your people, your site or your history. Treat its plan as a starting point to react to.

Importance 4.1/5 · core task · O*NET work activity: Develop technical processes to improve the efficiency of biofuel production..

Conduct experiments on biomass or pretreatment technologies.

Weekly

AI gets you up to speed; confirm findings with records or people.

Show prompt & steps

AI can get you up to speed fast and suggest where to look, but you need to confirm findings against real sources, records or people.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to conduct experiments on biomass or pretreatment technologies.

Context: We use Agilent ChemStation and Fleet Asset Management and Optimization Solutions FAMOS PEPSE; the work draws on chemistry, engineering and technology and production and processing.
Technology: [biomass, fermentation, feedstock]
Question: [what to test]

Design an experiment with variables, controls and measurements. Give sources I can check and say clearly when you're unsure.

10-minute exercise: Green tech experiment plan

Step 1Pick a real example: the next time you conduct experiments (this week).
Step 2Fill in [Technology] and [Question] with the real details, then run the prompt.
Step 3Open two of the sources it gives and confirm the key claim before you use it.

AI can invent sources and citations. Open every link and confirm it says what the AI claims.

Importance 3.7/5 · core task · O*NET work activity: Test green technologies or processes..

Propose new biofuels products, processes, technologies or applications based on findings from applied biofuels or biomass research projects.

Monthly

AI drafts the structure and wording; the specifics and sign-off are yours.

Show prompt & steps

AI can draft the structure and standard wording. The specifics, the judgment calls and the sign-off are yours.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to propose new biofuels products, processes, technologies or applications based on findings from applied biofuels or biomass research projects.

Context: We use Epic Systems and Microsoft Word.
Product or process: [describe]
Needs: [customer, quality]

Draft specifications with tolerances and tests. Use plain language and headings where they help, and mark anything you had to guess with [CHECK].

10-minute exercise: Product specification

Step 1Pick a real example: the next time you propose new biofuels products, processes and technologies or applications.
Step 2Fill in [Product or process] and [Needs] with the real details, then run the prompt.
Step 3Check every fact, name and number against your source before it goes anywhere.

AI will happily make up numbers, names and dates. Every fact in the draft needs checking against your source.

Importance 3.8/5 · core task · O*NET work activity: Develop specifications for new products or processes..

Conduct experiments to test new or alternate feedstock fermentation processes.

Monthly

AI gets you up to speed; confirm findings with records or people.

Show prompt & steps

AI can get you up to speed fast and suggest where to look, but you need to confirm findings against real sources, records or people.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to conduct experiments to test new or alternate feedstock fermentation processes.

Context: We use Agilent ChemStation and Fleet Asset Management and Optimization Solutions FAMOS PEPSE; the work draws on chemistry, engineering and technology and production and processing.
Technology: [biomass, fermentation, feedstock]
Question: [what to test]

Design an experiment with variables, controls and measurements. Give sources I can check and say clearly when you're unsure.

10-minute exercise: Green tech experiment plan

Step 1Pick a real example: the next time you conduct experiments.
Step 2Fill in [Technology] and [Question] with the real details, then run the prompt.
Step 3Open two of the sources it gives and confirm the key claim before you use it.

AI can invent sources and citations. Open every link and confirm it says what the AI claims.

Importance 3.5/5 · core task · O*NET work activity: Test green technologies or processes..

Develop methods to estimate the efficiency of biomass pretreatments.

Monthly

AI lays out options and timelines to react to.

Show prompt & steps

AI can lay out options, timelines and checklists to react to. Fitting it to your people, budget and situation is your call.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to develop methods to estimate the efficiency of biomass pretreatments.

Context: We use Microsoft Project and Oracle Primavera Enterprise Project Portfolio Management; the work draws on chemistry, engineering and technology and production and processing.
Process: [pretreatment, fermentation]
Goal: [yield, cost]

Plan methods to measure and improve efficiency. Lay it out as a table with steps, owner, timing and what could go wrong, then list the decisions I still need to make.

10-minute exercise: Biofuel efficiency study

Step 1Pick a real example: the next time you develop methods to estimate the efficiency of biomass pretreatments.
Step 2Fill in [Process] and [Goal] with the real details, then run the prompt.
Step 3Cross out anything that won't work on the ground and ask AI to revise with your corrections.

AI doesn't know your people, your site or your history. Treat its plan as a starting point to react to.

Importance 3.5/5 · O*NET work activity: Develop technical processes to improve the efficiency of biofuel production..

Develop computational tools or approaches to improve biofuels research and development activities.

Monthly

AI lays out options and timelines to react to.

Show prompt & steps

AI can lay out options, timelines and checklists to react to. Fitting it to your people, budget and situation is your call.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to develop computational tools or approaches to improve biofuels research and development activities.

Context: We use Microsoft Project and Oracle Primavera Enterprise Project Portfolio Management; the work draws on chemistry, engineering and technology and production and processing.
Process: [pretreatment, fermentation]
Goal: [yield, cost]

Plan methods to measure and improve efficiency. Lay it out as a table with steps, owner, timing and what could go wrong, then list the decisions I still need to make.

10-minute exercise: Biofuel efficiency study

Step 1Pick a real example: the next time you develop computational tools or approaches.
Step 2Fill in [Process] and [Goal] with the real details, then run the prompt.
Step 3Cross out anything that won't work on the ground and ask AI to revise with your corrections.

AI doesn't know your people, your site or your history. Treat its plan as a starting point to react to.

Importance 3.4/5 · O*NET work activity: Develop technical processes to improve the efficiency of biofuel production..

Design or execute solvent or product recovery experiments in laboratory or field settings.

Monthly

AI lays out options and timelines to react to.

Show prompt & steps

AI can lay out options, timelines and checklists to react to. Fitting it to your people, budget and situation is your call.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to design or execute solvent or product recovery experiments in laboratory or field settings.

Context: We use Microsoft Project and Oracle Primavera Enterprise Project Portfolio Management; the work draws on chemistry, engineering and technology and production and processing.
Process: [pretreatment, fermentation]
Goal: [yield, cost]

Plan methods to measure and improve efficiency. Lay it out as a table with steps, owner, timing and what could go wrong, then list the decisions I still need to make.

10-minute exercise: Biofuel efficiency study

Step 1Pick a real example: the next time you design or execute solvent or product recovery experiments.
Step 2Fill in [Process] and [Goal] with the real details, then run the prompt.
Step 3Cross out anything that won't work on the ground and ask AI to revise with your corrections.

AI doesn't know your people, your site or your history. Treat its plan as a starting point to react to.

Importance 3.0/5 · O*NET work activity: Develop technical processes to improve the efficiency of biofuel production..

Conduct research to breed or develop energy crops with improved biomass yield, environmental adaptability, pest resistance, production efficiency, bioprocessing characteristics, or reduced environmental impacts.

Weekly

AI gets you up to speed; confirm findings with records or people.

Show prompt & steps

AI can get you up to speed fast and suggest where to look, but you need to confirm findings against real sources, records or people.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to conduct research to breed or develop energy crops with improved biomass yield, environmental adaptability, pest resistance, production efficiency, bioprocessing characteristics, or reduced environmental impacts.

Context: We use GE Energy GateCycle and Agilent ChemStation; the work draws on chemistry, engineering and technology and production and processing.
Technology: [biomass, fermentation, feedstock]
Question: [what to test]

Design an experiment with variables, controls and measurements. Give sources I can check and say clearly when you're unsure.

10-minute exercise: Green tech experiment plan

Step 1Pick a real example: the next time you conduct research to breed or develop energy crops (this week).
Step 2Fill in [Technology] and [Question] with the real details, then run the prompt.
Step 3Open two of the sources it gives and confirm the key claim before you use it.

AI can invent sources and citations. Open every link and confirm it says what the AI claims.

Importance 3.4/5 · O*NET work activity: Test green technologies or processes..

Develop separation processes to recover biofuels.

A few times a year

AI lays out options and timelines to react to.

Show prompt & steps

AI can lay out options, timelines and checklists to react to. Fitting it to your people, budget and situation is your call.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to develop separation processes to recover biofuels.

Context: We use Microsoft Project and Oracle Primavera Enterprise Project Portfolio Management; the work draws on chemistry, engineering and technology and production and processing.
Process: [pretreatment, fermentation]
Goal: [yield, cost]

Plan methods to measure and improve efficiency. Lay it out as a table with steps, owner, timing and what could go wrong, then list the decisions I still need to make.

10-minute exercise: Biofuel efficiency study

Step 1Pick a real example: the next time you develop separation processes.
Step 2Fill in [Process] and [Goal] with the real details, then run the prompt.
Step 3Cross out anything that won't work on the ground and ask AI to revise with your corrections.

AI doesn't know your people, your site or your history. Treat its plan as a starting point to react to.

Importance 3.2/5 · O*NET work activity: Develop technical processes to improve the efficiency of biofuel production..

Perform protein functional analysis and engineering for processing of feedstock and creation of biofuels.

Weekly

AI gets you up to speed; confirm findings with records or people.

Show prompt & steps

AI can get you up to speed fast and suggest where to look, but you need to confirm findings against real sources, records or people.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to perform protein functional analysis and engineering for processing of feedstock and creation of biofuels.

Context: We use Agilent ChemStation and Fleet Asset Management and Optimization Solutions FAMOS PEPSE; the work draws on chemistry, engineering and technology and production and processing.
Technology: [biomass, fermentation, feedstock]
Question: [what to test]

Design an experiment with variables, controls and measurements. Give sources I can check and say clearly when you're unsure.

10-minute exercise: Green tech experiment plan

Step 1Pick a real example: the next time you perform protein functional analysis and engineering (this week).
Step 2Fill in [Technology] and [Question] with the real details, then run the prompt.
Step 3Open two of the sources it gives and confirm the key claim before you use it.

AI can invent sources and citations. Open every link and confirm it says what the AI claims.

Importance 3.4/5 · O*NET work activity: Test green technologies or processes..

Develop methods to recover ethanol or other fuels from complex bioreactor liquid and gas streams.

A few times a year

AI lays out options and timelines to react to.

Show prompt & steps

AI can lay out options, timelines and checklists to react to. Fitting it to your people, budget and situation is your call.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to develop methods to recover ethanol or other fuels from complex bioreactor liquid and gas streams.

Context: We use Microsoft Project and Oracle Primavera Enterprise Project Portfolio Management; the work draws on chemistry, engineering and technology and production and processing.
Process: [pretreatment, fermentation]
Goal: [yield, cost]

Plan methods to measure and improve efficiency. Lay it out as a table with steps, owner, timing and what could go wrong, then list the decisions I still need to make.

10-minute exercise: Biofuel efficiency study

Step 1Pick a real example: the next time you develop methods to recover ethanol or other fuels from.
Step 2Fill in [Process] and [Goal] with the real details, then run the prompt.
Step 3Cross out anything that won't work on the ground and ask AI to revise with your corrections.

AI doesn't know your people, your site or your history. Treat its plan as a starting point to react to.

Importance 3.0/5 · O*NET work activity: Develop technical processes to improve the efficiency of biofuel production..

Design chemical conversion processes, such as etherification, esterification, interesterification, transesterification, distillation, hydrogenation, oxidation or reduction of fats and oils, and vegetable oil refining.

A few times a year

AI lays out options and timelines to react to.

Show prompt & steps

AI can lay out options, timelines and checklists to react to. Fitting it to your people, budget and situation is your call.

Ready-to-use prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to design chemical conversion processes, such as etherification, esterification, interesterification, transesterification, distillation, hydrogenation, oxidation or reduction of fats and oils, and vegetable oil refining.

Context: We use Microsoft Project and Oracle Primavera Enterprise Project Portfolio Management; the work draws on chemistry, engineering and technology and production and processing.
Process: [pretreatment, fermentation]
Goal: [yield, cost]

Plan methods to measure and improve efficiency. Lay it out as a table with steps, owner, timing and what could go wrong, then list the decisions I still need to make.

10-minute exercise: Biofuel efficiency study

Step 1Pick a real example: the next time you design chemical conversion processes.
Step 2Fill in [Process] and [Goal] with the real details, then run the prompt.
Step 3Cross out anything that won't work on the ground and ask AI to revise with your corrections. Check it against the manufacturer's manual and your site procedure before you rely on it.

AI doesn't know your people, your site or your history. Treat its plan as a starting point to react to.

Safety-critical: AI output is a starting point. Follow your site's procedures and the manufacturer's guidance.

Importance 3.2/5 · O*NET work activity: Develop technical processes to improve the efficiency of biofuel production..

These stay human 2

They need your hands, your presence or your accountable judgment. Lean into them: they get more valuable as routine work is automated.

📏 Measured in this job (O*NET work context): Face-to-face discussions: every day · Contact with others: contact with others most of the time · Frequency of decisions: once a week or more but not every day · Impact of decisions: important results

Provide technical or scientific guidance to technical staff in the conduct of biofuels research or development.

Weekly

Leading people runs on trust. AI can prep the paperwork around it.

Show prep prompt & steps

Where AI still helps: AI can prep the paperwork around leading: meeting agendas, feedback drafts, rotas, briefings and difficult-conversation rehearsals.

Prep prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to provide technical or scientific guidance to technical staff in the conduct of biofuels research or development.

Context: The work draws on chemistry, engineering and technology and production and processing.
Team: [employees, volunteers]
Project: [describe]

Help me prepare: the key message in 2 sentences, what good looks like, how people might react and how I'll respond, and one thing I'll check next week.

10-minute exercise: Leading sustainability staff

Step 1Pick a real example: the next time you provide technical or scientific guidance (this week).
Step 2Fill in [Team] and [Project] with the real details, then run the prompt.
Step 3Afterward, note one thing people responded to and one thing you'd change.

Importance 3.9/5 · core task · O*NET work activity: Supervise workers performing environmentally sustainable activities..

Oversee biodiesel/biofuels prototyping or development projects.

Monthly

Leading people runs on trust. AI can prep the paperwork around it.

Show prep prompt & steps

Where AI still helps: AI can prep the paperwork around leading: meeting agendas, feedback drafts, rotas, briefings and difficult-conversation rehearsals.

Prep prompt

I work as a biofuels/biodiesel technology / product development manager. Part of my job is to oversee biodiesel/biofuels prototyping or development projects.

Context: The work draws on chemistry, engineering and technology and production and processing.
Operation: [biofuels, hydro]
Decision: [describe]

Prepare a plan and team briefing. Give me the key message in 2 sentences, how people might react, and how to respond to each.

10-minute exercise: Directing energy production

Step 1Pick a real example: the next time you oversee biodiesel/biofuels prototyping or development projects.
Step 2Fill in [Operation] and [Decision] with the real details, then run the prompt.
Step 3Afterward, note one thing people responded to and one thing you'd change.

Importance 3.6/5 · core task · O*NET work activity: Direct green energy production operations..

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Your next moves

Skills to build

From O*NET's ratings of how important each skill is in this job, matched to which part of the work it supports.

Stays human Deepen these

They power the human-led work, which is the part of the job AI can't take over.

  • Speakingimportance 3.6/5
    Used in: Guiding, Directing, and Motivating Subordinates
  • Active Listeningimportance 3.5/5
    Used in: Guiding, Directing, and Motivating Subordinates
  • Active Learningimportance 3.2/5
    Used in: Guiding, Directing, and Motivating Subordinates
  • Monitoringimportance 3.2/5
    Used in: Guiding, Directing, and Motivating Subordinates

With AI Use these to work with AI

When AI does the first draft, these are the skills you use to brief it and check what comes back.

  • Reading Comprehensionimportance 3.6/5
    Used in: Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment
  • Critical Thinkingimportance 3.6/5
    Used in: Inspecting Equipment, Structures, or Materials
  • Writingimportance 3.6/5
    Used in: Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment
  • Instructingimportance 3.0/5
    Used in: Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment

Where you could move

Related jobs from O*NET with the closest skill profile, favouring ones where more of the work stays human. No step down in preparation.

  • Chemical Engineers13% human-led · Same preparation · $125,040/yr · usually bachelor's degreeSkills to build: Science, Operations Analysis, Mathematics
  • Nanotechnology Engineering Technologists and Technicians56% human-led · Same preparation · $66,120/yr · usually doctoral degreeSkills to build: Science, Operation and Control, Repairing
  • Biofuels Production Managers62% human-led · Same preparation · $126,060/yr · usually bachelor's degreeSkills to build: Science, Operation and Control, Management of Financial Resources
  • Chemists56% human-led · Same preparation · $91,240/yr · usually bachelor's degreeSkills to build: Science, Mathematics, Reading Comprehension

Getting into this job

Bachelor's degree is most common (55% of workers)

  • High school or less 1%
  • Certificate or some college 5%
  • Associate's 6%
  • Bachelor's 57%
  • Graduate degree 31%
  • On-the-job training: 3–6 months
  • Related experience: 2–4 years

What workers in this job report, from O*NET surveys (typical values).

Software in this job

In-demand tools from O*NET. Many now have AI built in, so check what yours can do before adding a new tool.

Adobe IllustratorEpic SystemsLinuxMicrosoft ExcelMicrosoft Office softwareMicrosoft PowerPointMicrosoft ProjectMicrosoft SQL ServerMicrosoft SQL Server Integration Services SSISMicrosoft SQL Server Reporting Services SSRSMicrosoft VisioMicrosoft Word