Training Turk

Biologist

$70–90/hr · micro1

You design and execute CRISPR experiments, validate modifications, and translate results into training data for AI systems.

What you would do

  • Lead the design and optimization of CRISPR-based gene editing experiments from construct planning to validation
  • Develop cloning strategies and generate novel constructs and cell lines with careful characterization
  • Conduct genotyping, PCR, and sequencing tests to verify genetic modifications and construct integrity
  • Design synthetic DNA and RNA sequences and contribute to logic for high-throughput screening workflows
  • Collaborate with interdisciplinary teams to convert experimental data into structured formats for AI training and analysis

Who they want

  • Expertise in CRISPR technology and complete workflows from design through validation
  • Extensive hands-on experience with cloning techniques, genotyping protocols, and PCR-based assays
  • Expertise in designing sequences and applying molecular screening methods
  • Excellent written and verbal communication with meticulous attention to scientific detail
  • Bachelor's degree or equivalent in molecular biology, cell biology, biochemistry, or related field

Main skills

BiologyMolecular BiologyWet Labs

What the interview asks about

  1. 1.Troubleshooting failed CRISPR experiments

    Failure is common in gene editing; recognizing what went wrong and why separates competent labs from mediocre ones.

    For example: “Your CRISPR transfection shows 0% indel rates despite positive controls. You suspect delivery efficiency. What three approaches would you try and how would you track which matters?”

  2. 2.Designing cloning strategy for novel constructs

    There's no standard template; strategy depends on your understanding of restriction sites, reading frames, and downstream applications.

    For example: “You need to clone a 3.5kb insert into a vector with limited restriction sites. Walk me through how you'd choose your cloning method and why.”

  3. 3.Validating genetic modifications rigorously

    A cell line that looks right phenotypically but has wrong genotype wastes months of downstream work; validation must be thorough.

    For example: “You've generated 12 CRISPR cell lines targeting the same locus. PCR looks good, but you want to confirm off-target activity didn't occur. What's your validation plan?”

  4. 4.Communicating experimental design to non-biologists

    Data scientists and engineers need to understand what your experiment measured; unclear framing breaks downstream AI training.

    For example: “You're documenting a high-throughput screening result for AI training. A machine learning engineer asks 'what does a positive hit mean?' Write a clear 2-3 sentence answer.”

  5. 5.Structuring lab data for machine learning

    Raw lab notebooks don't translate directly to ML; you must understand what features are useful and what counts as a training example.

    For example: “You have 200 CRISPR experiments with various outcomes (success, partial edit, off-target, failed). How would you structure this for training a system to predict success?”

A task you may get

Design a CRISPR experiment to knock out a specific gene in a cell line: describe construct design, transfection approach, validation steps, and how you'd document results for reproducibility.

How to prepare

  • Review a recent CRISPR paper and identify the key validation experiments; understand why each one matters
  • Practice writing a clear, reproducible protocol: pick a technique you know well and write 5-7 steps that someone new could follow
  • Think through a failed experiment you've seen: what was the root cause and how would you have diagnosed it faster?

The facts

Pay
$70–90/hr
Open to
Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia
Field
Sciences Research
Role type
Specialist
Posted
7/28/2026
Places left
100

We wrote this page from the public micro1 listing. It may be out of date, so read the full posting before you apply.