Research and development

Life Sciences Research Expert (Python)

Hyper Lychee Labs

New Zealand4 days ago
ContractSenior

What the role involves

  • Creating scientific problems
  • Developing Python analyses
  • Reviewing scientific solutions

What they ask for

Life sciences research experience; strong hands-on Python skills

About the job

Pay: $60–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible—you choose the hours and days you work, including weekends if desired

Job Description

We are seeking experienced life sciences researchers with strong, hands-on Python skills to contribute to projects focused on evaluating and improving advanced AI systems.

In this role, you will apply your scientific expertise to create, solve, and review challenging research problems within biology and related fields. You will use Python to analyze scientific data, develop reproducible solutions, validate computational results, and identify errors in technical reasoning or code.

Areas of Expertise

We are particularly interested in candidates with expertise in one or more of the following:

  1. Medicine and biomedical science
  2. Computational biology
  3. Neuroscience
  4. Molecular and cellular biology
  5. Biotechnology and bioinformatics
  6. Genetics and genomics
  7. Ecology and evolutionary biology
  8. Biostatistics or biological data science

Scope of Work

  1. Create and solve technically rigorous scientific problems within your area of expertise.
  2. Develop reproducible Python-based analyses, models, simulations, or data-processing workflows.
  3. Review scientific solutions and code for correctness, clarity, and completeness.

Preferred Qualifications

  1. PhD, MD, or master’s degree with substantial research experience in a relevant life sciences discipline.
  2. Strong scientific or applied research background demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
  3. Practical Python experience for scientific computing, data analysis, modeling, or simulation.
  4. Familiarity with tools such as NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or relevant domain-specific libraries.

Process

  1. Apply to the role and complete the screening questions.
  2. Complete an AI interview of approximately 30 minutes.
  3. Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply..

Start Timeline and Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

Applying for this job

What to show on your CV

  • It names Python, NumPy, pandas, SciPy, Matplotlib and scikit-learn. Use the same words on your CV for the ones you've used, so a search finds them.
  • For the work it describes, like "Creating scientific problems", give an example from your own experience, with a result you can talk about at an interview.

Our guides to the New Zealand CV format, cover letters and interview questions cover the rest.

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