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Ecosystem Science Jobs in New York (NOW HIRING)

CookUnity

Director, Data Science/ML

New York, NY

Partner with the Growth Data Science & Analytics team to align experimentation, measurement, and modeling efforts into a cohesive end-to-end data science ecosystem. Team Leadership & Development

Prior Labs

Applied Scientist, Data Science

New York, NY · On-site

Deep proficiency in Python and the data science ecosystem, with hands-on experience training and deploying deep learning models in PyTorch, including modern deep learning - architectures (especially ...

1 point system

Marketing Science Lead

New York, NY · On-site

Marketing Science Contingent Worker * Key Responsibilities * Own measurement strategy, operations ... Deep understanding of digital advertising ecosystem (Brand and Direct Response) * Experience ...

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Showing results 21-40

All JobsEcosystem Science JobsEcosystem Science Jobs in New York

Ecosystem Science information

See New York salary details

$26.8K

$100.7K

$201.2K

How much do ecosystem science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ecosystem science in New York is $100,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,663.00 and $132,832.00 per year, depending on experience, location, and employer.

What is ecosystem science?

Ecosystem science is the study of interactions among organisms and their environment as a system. It focuses on understanding how living (biotic) and non-living (abiotic) components of ecosystems, such as plants, animals, microbes, soil, water, and climate, interact to shape the structure and function of natural systems. Ecosystem scientists investigate processes like nutrient cycling, energy flow, and ecosystem services, often to inform conservation, land management, and policy. This field is interdisciplinary, combining biology, ecology, geography, and environmental science to address complex environmental challenges.

What are the key skills and qualifications needed to thrive as an ecosystem scientist, and why are they important?

To thrive as an Ecosystem Scientist, you need a strong background in ecology, biology, environmental science, and data analysis, typically supported by a relevant degree such as a BSc or MSc in environmental or biological sciences. Competence with GIS software, statistical analysis tools, and field sampling equipment is commonly required, along with certifications in environmental monitoring or research methods. Critical thinking, collaboration, and effective communication are essential soft skills for synthesizing data and working with multidisciplinary teams. These skills and qualifications are crucial for accurately assessing ecosystem health, informing conservation efforts, and guiding sustainable management decisions.

What are some typical collaborative projects or partners an ecosystem scientist might work with?

Ecosystem Scientists frequently collaborate with government agencies, conservation organizations, and academic researchers to address environmental challenges such as habitat restoration, biodiversity monitoring, or climate impact assessments. These projects often involve multidisciplinary teams, incorporating expertise from hydrology, wildlife biology, and data science. Building strong partnerships is essential, as these collaborations enable Ecosystem Scientists to gather comprehensive data, apply for joint funding, and implement effective management strategies across large landscapes.

What is the difference between Ecosystem Science vs Environmental Science?

AspectEcosystem ScienceEnvironmental Science
Required CredentialsBachelor's or Master's in Ecology, Biology, or Environmental ScienceBachelor's or Master's in Environmental Science, Ecology, or related fields
Work EnvironmentField research, ecological monitoring, data analysisLaboratory, fieldwork, policy analysis
Employer & IndustryResearch institutions, conservation agencies, universitiesGovernment agencies, NGOs, consulting firms

Both Ecosystem Science and Environmental Science involve understanding ecological systems, but Ecosystem Science focuses specifically on the interactions within ecosystems, often emphasizing field research and ecological modeling. Environmental Science has a broader scope, including pollution, policy, and sustainability issues. Professionals in both fields often share similar credentials and work environments, but their focus areas differ, making them distinct yet related careers.

What are popular job titles related to Ecosystem Science jobs in New York?

For Ecosystem Science jobs in New York, the most frequently searched job titles are:

What job categories do people searching Ecosystem Science jobs in New York look for?

The top searched job categories for Ecosystem Science jobs in New York are:

What cities in New York are hiring for Ecosystem Science jobs?

Cities in New York with the most Ecosystem Science job openings:

Ecosystem Science jobs near you

Principal Scientist, Data Science (Data Products, Integration & Analysis)

Scorpion Therapeutics

Raritan, NJ • On-site

$150 - $190/hr

Other

PTO

Posted 5 days ago

Job description

Position Summary

  • Lead the design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.

  • Create scalable, interoperable, AI-ready data products connecting discovery, preclinical, clinical, safety, and real-world evidence; enable validated-biomarker data assets.

  • Establish data architecture, integration strategy, metadata framework, and productization approach for semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI.

  • Define the future-state scientific data ecosystem with stakeholders and ensure high-quality products for translational science and patient safety.


Key Responsibilities

  • Define and execute a scientific data product strategy for discovery research, translational science, preclinical safety, clinical development, pharmacovigilance, and real-world evidence.

  • Design integration frameworks and data harmonization across SEND, SDTM, ADaM, MedDRA, imaging, omics, biomarker, pathology, and real-world data.

  • Lead AWS-based digital platform implementation strategy; partner to deliver pipelines/data products.

  • Develop curated datasets, semantic-ready data products, feature stores, metadata products, scientific data services, and AI-ready data assets.

  • Define metadata standards and data quality; implement lineage/provenance/traceability and FAIR; establish monitoring controls.

  • Build predictive AIML models for translational safety decision making.


Required Qualifications

  • Master’s or PhD in CS, Data Engineering, Bioinformatics, Biomedical Informatics, Information Systems, Computational Biology, or related.

  • 5+ years in scientific data engineering/architecture/products/life sciences informatics.

  • Experience delivering enterprise-scale scientific data products; supporting drug discovery/development/clinical research/pharmacovigilance.

  • Experience developing predictive models in relevant areas.


Technical Expertise

  • Data architecture/modeling, data product design, cloud-native platforms, metadata management, data governance, predictive model development.

  • AWS-based platforms; data lakes/lakehouses; distributed processing; APIs/data services; data cataloging/lineage.

  • Familiarity with SEND, SDTM, ADaM, MedDRA.


Preferred Qualifications

  • Knowledge graphs/semantic architectures/GraphRAG; AI-ready data products & feature stores; ontology-driven integration; partnering with cloud/platform teams; regulated environments.

  • Familiarity with FHIR, OMOP, DICOM; biomarker/omics standards.


Benefits (explicitly listed)

  • Vacation: 120 hours/year; Sick time: 40 hours/year (CO: 48; WA: 56); Holiday pay (incl. Floating Holidays): 13 days/year; Work/Personal/Family Time: up to 40 hours/year; Parental Leave: 480 hours; Bereavement: 240 hours (immediate) / 40 hours (extended); Caregiver Leave: 80 hours (52-week rolling period); Volunteer Leave: 32 hours/year; Military Spouse Time-Off: 80 hours/year.

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