Research Jobs

325,904 open positions · Updated daily

Research roles are booming as AI, data science, and biotechnology converge. Companies are hiring scientists, data analysts, and lab technicians to build next‑generation products. With 8,241 positions open, the demand for research talent is higher than ever.

Research jobs span from AI and machine‑learning scientists to clinical trial researchers and UX researchers. Responsibilities include designing experiments, collecting and analyzing data with Python, R, or LabVIEW, publishing findings, and prototyping new algorithms or therapies. Many roles require proficiency in version control, SQL, and specialized tools like TensorFlow, PyTorch, or CRISPR‑Cas9.

Transparent salary data helps researchers negotiate fair pay, assess funding opportunities, and plan career moves. Knowing the market rate for your skill set—whether you’re a junior data scientist or a senior AI researcher—ensures you stay competitive and avoid under‑compensation in fast‑moving tech fields.

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Frequently Asked Questions

What are typical salary ranges for research positions by seniority?
Entry‑level research scientists and data analysts earn $70,000‑$90,000 annually, with variations by industry. Mid‑level roles (2‑5 years experience) range $90,000‑$120,000. Senior researchers, principal investigators, or AI lead scientists command $120,000‑$160,000 plus equity or grant‑based bonuses.
What skills and certifications are most valued in research roles?
Key skills include statistical programming in Python or R, SQL for data querying, machine‑learning frameworks (TensorFlow, PyTorch), laboratory software (LabVIEW, Benchling), and version control (Git). Certifications that boost prospects are TensorFlow Developer, AWS Certified Machine Learning – Specialty, Google Cloud Professional Data Engineer, and CLIA‑certified lab technician credentials for clinical research.
Can research jobs be performed remotely?
Approximately 60% of research listings now offer full‑remote or hybrid schedules, especially in AI, data science, and UX research. Lab‑based roles typically require on‑site presence, but many institutions provide remote data‑analysis and simulation positions.
What are common career progression paths in research?
Typical progression starts with Research Assistant → Research Scientist → Senior Scientist → Lead or Principal Investigator → Director of Research or R

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