Research Jobs in New York City, NY
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Looking for Research jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Research position in the New York City, NY area.
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Browse All JobsFrequently Asked Questions
What are typical salary ranges for Research roles by seniority?
Entry‑level Data Scientists and Research Assistants earn $70,000–$100,000 annually, while mid‑level positions such as Senior Data Scientist or Lead Lab Scientist command $110,000–$150,000. Principal Research Scientists or Senior Biomedical Investigators usually receive $150,000–$200,000, and Director‑level research leaders can exceed $250,000 depending on funding and institutional prestige.
Which skills and certifications are required for a career in Research?
Core programming skills in Python, R, or MATLAB, proficiency with SQL databases, and experience using TensorFlow, PyTorch, or Scikit‑learn are essential for data‑driven research. For laboratory roles, proficiency in LIMS, CRISPR/Cas9 protocols, or GC‑MS instrumentation is required. Certifications such as SAS Base, PMP, or GxP Compliance add credibility and often unlock higher pay bands.
Can Research positions be performed remotely?
Many research teams now use cloud platforms like Google Colab, AWS SageMaker, and Azure ML to run experiments, allowing remote data scientists to collaborate via GitHub, Slack, and Zoom. Lab‑based positions may require periodic on‑site visits, but companies frequently offer hybrid arrangements or full remote roles for computational research or simulation work.
What career progression paths exist in Research?
Typical trajectories start with Research Associate or Junior Scientist, advance to Senior Associate or Lead Scientist, then to Principal Investigator or Senior Research Lead, and culminate in Director of Research or Chief Scientific Officer. Advancement often hinges on publication metrics, grant acquisition, and leadership of interdisciplinary projects.
What are current industry trends shaping Research careers?
Artificial intelligence is driving demand for deep‑learning researchers who can deploy models at scale. Quantum computing research focuses on error‑correction algorithms and hardware design. Biomedical research is propelled by CRISPR gene editing and personalized medicine. Renewable energy studies target battery chemistry and carbon‑capture technologies. Interdisciplinary collaborations between computer science, biology, and materials science are becoming standard, expanding the skill set required for cutting‑edge research roles.
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