flagship course
Biotechnology and Life Sciences Innovation
Move a life-science idea from lab result to a tested, lawful and fundable product: validation, quality, intellectual property, regulation and a small-venture plan.
about this course
What you will be able to do
Move a life-science idea from lab result to a tested, lawful and fundable product: validation, quality, intellectual property, regulation and a small-venture plan.
- Define a problem a life-science product can solve and who pays for it.
- Apply validation steps and quality records.
- Analyse trial data with simple statistics.
- Evaluate regulatory, ethical and biosafety risk.
- Create a venture plan and a pitch.
Task, condition and standard
Task
Take one lab-scale idea to a validation report, a protection plan and a venture plan.
Condition
About 12 weeks part-time. Access to lab data or a virtual lab, a mentor from industry or research, a team of two to four.
Standard
Claims are backed by repeated data, risks are listed with controls, ethics approval steps are named, and the plan shows costs and milestones.
Who it is for: Biotechnology graduates, research associates, founders, agri-biotech staff. Requirements: Biotechnology Foundations or equivalent. Materials: lesson text, templates, rubric, check with answers.
lesson by lesson
8 modules with worked examples
Module 1 From problem to opportunity 5 hDefine
- Start from a need in health, farming, food or environment, not from a technique.
- Size the need: how many people, how often, what they pay today.
- Write a one-sentence problem and a one-sentence solution.
- Check what already exists in papers and public records.
Activity. Write a problem sheet with numbers and sources.
Standard to meet. Write a problem that is specific, sized and sourced, and state the solution in one sentence.
Module 2 Validation: repeat and control 6 hApply
- Set a hypothesis and a pass limit before the test.
- Use controls and at least three repeats.
- Record conditions: temperature, batch, date, operator.
- Report the spread, not only the average.
Activity. Design and run a validation with three repeats.
Standard to meet. Write the hypothesis, controls, repeats and limits first, then report honestly whether results meet or miss the limit.
Module 3 Data and statistics for decisions 5 hAnalyse
- Mean, spread and a simple comparison of two groups.
- Charts that show every point.
- What a small sample can and cannot show.
- Keep raw data and the steps that produced each chart.
Activity. Analyse a data set and write a short finding.
Standard to meet. Check that the numbers are right, and state the limits of the sample.
Module 4 Quality and traceability 5 hApply
- Standard operating procedures: who, what, how, when.
- Batch records and sample labels.
- Calibration of balances, pipettes and meters.
- Change control: write down any change and why.
Activity. Write one procedure and one batch record.
Standard to meet. Write a procedure that another person can use to repeat the work.
Module 5 Intellectual property and data 4 hEvaluate
- Patent, trademark, copyright and trade secret: what each protects.
- Prior art search before you file.
- Share data and materials under written terms.
- Keep dated lab notebooks signed by a witness.
Activity. Write a protection plan for your idea.
Standard to meet. Plan names the right tool for each asset and the next dated step.
Module 6 Biosafety, ethics and regulation 6 hEvaluate
- Risk groups and containment levels.
- Consent for human samples and ethics review for animals.
- Approvals follow the product: food needs FSSAI, drugs and devices need CDSCO, and gene work needs the biosafety committees; check the current rules.
- Local authority and national guidelines come first.
Activity. Map the approvals your product needs.
Standard to meet. Map names each authority, step and document.
Module 7 Scale-up and cost 5 hAnalyse
- Lab, pilot and production scale differ.
- Cost of goods: materials, labour, utilities, loss.
- Find the step that fails first at scale.
- Use partners for pilot runs.
Activity. Cost one product at lab and pilot scale.
Standard to meet. Add up the costs and name the first scale risk.
Module 8 Venture plan and pitch 5 hCreate
- Customer, product, proof, money, team.
- Milestones with dates and funds needed.
- Grants, incubators and customers as funding sources.
- Pitch in five minutes with one slide on proof.
Activity. Write the plan and pitch it.
Standard to meet. Plan has milestones, costs and proof; pitch fits five minutes.
assessment
How you are checked
Evidence: the work product from each module, kept in one folder with dates. A mentor and two peers mark it with this rubric. Pass: no criterion at 'Not yet'.
| Criterion | Not yet | Meets | Exceeds |
|---|---|---|---|
| Validation | Missing or unclear | Meets the stated check | Repeated with controls |
| Compliance | Guessing | Evidence kept | Approvals mapped and tracked |
| Records | Gaps | Complete | Complete and reviewed by a peer |
| Safety and ethics | Overlooked | Followed | Followed and taught to others |
Ten-question check, with model answers
Q1. Why start from a need?
Model answer: Products succeed when they solve a real problem. (Covered in module 1: From problem to opportunity. To pass that module: Write a problem that is specific, sized and sourced, and state the solution in one sentence.)
Q2. Why set the pass limit first?
Model answer: To avoid choosing the limit to fit the result. (Covered in module 2: Validation: repeat and control. To pass that module: Write the hypothesis, controls, repeats and limits first, then report honestly whether results meet or miss the limit.)
Q3. What can a small sample not show?
Model answer: That the effect is certain or applies everywhere. (Covered in module 3: Data and statistics for decisions. To pass that module: Check that the numbers are right, and state the limits of the sample.)
Q4. What is a batch record for?
Model answer: It lets anyone trace and repeat a batch. (Covered in module 4: Quality and traceability. To pass that module: Write a procedure that another person can use to repeat the work.)
Q5. What is prior art?
Model answer: Earlier public knowledge that can block a patent. (Covered in module 5: Intellectual property and data. To pass that module: Plan names the right tool for each asset and the next dated step.)
Q6. Who decides approval for your product?
Model answer: The authority for its product type, such as food, drug or agri. (Covered in module 6: Biosafety, ethics and regulation. To pass that module: Map names each authority, step and document.)
Q7. What is cost of goods?
Model answer: Direct cost to make one unit. (Covered in module 7: Scale-up and cost. To pass that module: Add up the costs and name the first scale risk.)
Q8. What must the proof slide show?
Model answer: The validated data and its limits. (Covered in module 8: Venture plan and pitch. To pass that module: Plan has milestones, costs and proof; pitch fits five minutes.)
Q9. Why keep raw data?
Model answer: So results can be checked. (Covered in: Task, condition and standard, near the top of this page.)
Q10. Why name a witness on notebooks?
Model answer: It dates and supports your records. (Covered in: Task, condition and standard, near the top of this page.)
seven levels
Your ladder, L1 to L7
This course sits at L5 Specialist. Each level adds to the one below.
- L1 Basic. Know basic biology words.
- L2 Awareness. Explain how products are tested.
- L3 Foundation. Help run lab work.
- L4 Practitioner. Validate an idea alone.
- L5 Specialist. Take a product to pilot and plan its protection.
- L6 Advanced. Lead a research and development team.
- L7 Super expert. Set innovation and quality strategy for an institute.
Slide by slide
Seven slides, one per level. Open each for the slide text and the speaker notes.
Slide 1 L1 Basic: Biology words
Define 10 basic biology words (cell, gene, enzyme, protein and others) and use each in a correct sentence.
Speaker notes. Teacher checks sentences for correct use. Covered in module 1.
Slide 2 L2 Awareness: Product testing explained
Explain how a product is tested using a control and repeats, and describe the 4 stages from idea to trial with one check at each.
Speaker notes. Teacher asks how a new soil booster would be tested and checks the control is named. Covered in module 2.
Slide 3 L3 Foundation: Lab work help
Help run lab work for 2 weeks, keeping a notebook with dated entries, witnessed pages and raw data saved for every run.
Speaker notes. Teacher checks the notebook for dates and a witness name. Covered in modules 3 and 4.
Slide 4 L4 Practitioner: Validate an idea
Validate an idea alone with 3 repeats, a control and a statistic, and state a go or no-go decision backed by numbers.
Speaker notes. Teacher reruns one average and checks the decision follows the data. Covered in modules 2 and 3.
Slide 5 L5 Specialist: Pilot and protection
Plan a pilot of 100 units with a cost table, a scale-up risk list and a protection plan for the idea. Check local rules with an expert.
Speaker notes. Teacher checks the cost per unit and the filing steps listed.
Slide 6 L6 Advanced: R and D team lead
Lead an R and D team of 5 with stage gates, a monthly data review and a stop decision made on evidence for at least one weak project.
Speaker notes. Teacher reads the gate record for the stopped project.
Slide 7 L7 Super expert: Institute strategy
Set an innovation and quality strategy for an institute with 4 measured goals, an ethics process and a yearly audit plan.
Speaker notes. Teacher checks each goal has an owner and a number. Check local rules with an expert.
jobs this leads to
Where this takes you
- Research and development associate
- Bioprocess scientist
- Quality analyst
- Technology transfer assistant
- Biotechnology founder
ten locations and global
Your place
Local rules change licences, data handling, pricing words and names of bodies. Check them for your place before you act.
India (Bengaluru)
Language: English, Hindi, Kannada. Currency: INR. Data rule for what you publish: Digital Personal Data Protection Act 2023. Skills frame to cite: National Skills Qualifications Framework (NSQF) and the national credit framework.
Netherlands (Eindhoven area)
Language: Dutch, English. Currency: EUR. Data rule for what you publish: EU GDPR (Dutch: AVG), supervised by the Autoriteit Persoonsgegevens. Skills frame to cite: the Dutch qualification framework (NLQF) linked to the European Qualifications Framework.
UAE (Dubai and Abu Dhabi)
Language: Arabic, English. Currency: AED. Data rule for what you publish: Federal Decree-Law No. 45 of 2021 (personal data protection). Skills frame to cite: the emirate education and training regulators (for example KHDA in Dubai) and the national qualifications framework.
Brazil (Sao Paulo)
Language: Portuguese (Spanish and English support). Currency: BRL. Data rule for what you publish: LGPD (Lei Geral de Protecao de Dados). Skills frame to cite: the national technical-education catalogue and the national S-system training bodies.
Canada (Toronto)
Language: English, French. Currency: CAD. Data rule for what you publish: PIPEDA, with provincial rules where they apply. Skills frame to cite: the provincial colleges framework and the national credential-recognition guidance.
United States
Language: English, Spanish. Currency: USD. Data rule for what you publish: state privacy laws (for example California), and COPPA for children under 13. Skills frame to cite: state and community-college credit systems.
Singapore
Language: English, Mandarin, Malay, Tamil. Currency: SGD. Data rule for what you publish: Personal Data Protection Act (PDPA). Skills frame to cite: the Singapore national skills frameworks and the national credit system.
Australia
Language: English. Currency: AUD. Data rule for what you publish: the Privacy Act 1988 and the Australian Privacy Principles. Skills frame to cite: the Australian Qualifications Framework (AQF) levels.
Hong Kong (Eastern Asia)
Language: Chinese (Cantonese, Mandarin), English. Currency: HKD. Data rule for what you publish: the Personal Data (Privacy) Ordinance. Skills frame to cite: the Hong Kong Qualifications Framework.
Georgia and Israel (Western Asia)
Language: Georgian, Hebrew, Arabic, English. Currency: GEL or ILS. Data rule for what you publish: the personal data law of the country where the learner lives. Skills frame to cite: the national qualifications framework of that country.
Cayman Islands (Caribbean)
Language: English. Currency: KYD. Data rule for what you publish: the Data Protection Act. Skills frame to cite: the local education and training framework.
Mexico
Language: Spanish, English. Currency: MXN. Data rule for what you publish: the federal law on personal data held by private parties. Skills frame to cite: the national competency certification system and the education ministry levels.
next
Draft
Draft flagship. Own wording. Not live.