Life Sciences Research Expert (Python) | Remote - Contract Remote (International)

Dover; India; Remoto; INR 5.233.000 - 11.774.000; Part-time

Descrizione del lavoro

Dover is seeking a Life Sciences Research Expert (Python) to contribute to projects evaluating and improving advanced AI systems from a fully remote, global setting. The role emphasizes applying biology and related fields with hands-on Python to analyze data, validate results, and troubleshoot computational reasoning.

Ideal candidates have PhD/MD/masters with substantial research, publications or projects, and strong Python experience for scientific computing.

Competenze

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

Mansioni

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

Conoscenze

Python

Biology

Medicine

Materials

Neuroscience

Astronomy

Formazione

PhD

MD

Master's degree

Strumenti

NumPy

pandas

SciPy

Matplotlib

scikit-learn

Jupyter

Descrizione del lavoro

Role Title: Life Sciences Research Expert (Python)

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

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.

Required Skills

• Python

• Biology

• Medicine

• Materials

• Neuroscience

• Astronomy

Areas of Expertise

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

• Medicine and biomedical science

• Computational biology

• Neuroscience

• Molecular and cellular biology

• Biotechnology and bioinformatics

• Genetics and genomics

• Ecology and evolutionary biology

• Biostatistics or biological data science Etc.

Scope of Work

• Create and solve technically rigorous scientific problems within your area of expertise.

• Develop reproducible Python-based analyses, models, simulations, or data-processing workflows.

• Review scientific solutions and code for correctness, clarity, and completeness.

Preferred Qualifications

• PhD, MD, or master's degree with substantial research experience in a relevant life sciences discipline.

• Strong scientific or applied research background demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.

• Practical Python experience for scientific computing, data analysis, modeling, or simulation.

• Familiarity with tools such as NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or relevant domain-specific libraries.

Process

• Apply to the role and complete the screening questions.

• Complete an AI interview of approximately 30 minutes.

• 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 & 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.