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Ecosystem Science Jobs in Chicago, IL (NOW HIRING)

Senior Scientist R&D

Chicago, IL · On-site

$94K - $135K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Senior Scientist, Molecular Assay Development in R&D Passionate about precision medicine and ...

Senior Scientist R&D

Chicago, IL · On-site

$94K - $135K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Senior Scientist, Molecular Assay Development in R&D Passionate about precision medicine and ...

Data Scientist II, Outcomes Research

Chicago, IL · On-site +1

$100K - $150K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ...

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ...

Lead and direct the strategic Artificial Intelligence & Analytics stream within the D&T ecosystem ... Python / R Programming to write clean, scalable data science code and maintain custom software ...

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Biopsy Science team. This role will focus directly on assay and algorithmic development ...

Promote open science principles, share code and data, and engage with the scientific community via ... Proficiency with the Python scientific and ML ecosystem and experience on Linux HPC / SLURM ...

Showing results 41-60

Ecosystem Science information

See Chicago, IL salary details

$25.1K

$94.6K

$188.9K

How much do ecosystem science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ecosystem science in Chicago, IL is $94,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,321.00 and $124,710.00 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 job categories do people searching Ecosystem Science jobs in Chicago, IL look for?

The top searched job categories for Ecosystem Science jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Ecosystem Science jobs?

Cities near Chicago, IL with the most Ecosystem Science job openings:

Principal Scientist - Data Insights & Hypothesis Design

Tempus

Chicago, IL

Full-time

Re-posted 4 days ago


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Principal Scientist - Data Insights & Hypothesis DesignPassionate about precision medicine and advancing the healthcare industry?Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.Position OverviewAs a Principal Scientist on the Data Insights and Hypothesis Design team, you will ensure the scientific coherence of Tempus' multimodal data platform while bridging the gap between complex molecular science and scalable data engineering.This position requires strong computational, statistical, and translational research skills, alongside a deep interest in reproducible science and artificial intelligence. You will serve as a cornerstone for expanding our multi-modal applications beyond our foundational oncology roots, actively spearheading scientific efforts to support emerging, large-scale datasets in neurology (Alzheimer's disease) and Immunology & Inflammation (I&I).Role Focus & Scientific ImpactIn this position, you will act as a highly specialized subject matter expert, anchoring our data strategy with deep domain expertise across multiple therapeutic areas. Your impact will be driven by a balance of hands-on technical execution such as data prototyping and code creation and the strategic delegation of modular tasks to effectively scale projects. While you will work closely with cross-functional teams to support go-to-market strategies with rigorous scientific insights and validation, your primary focus will remain on scientific excellence, enablement, and data integrity.Key Responsibilities
  • Data Evaluation & Prototyping: Conduct rigorous data evaluations, write technical code (SQL, R, Python), and prototype new data offerings within the Tempus Data Model (TDM). Deliver implementation-ready table and column specifications to seamlessly transition initial concepts into scalable, production-grade offerings.
  • Client Alignment & Scientific Advisory: Translate complex client research objectives across the drug discovery and development lifecycle into actionable clinico-genomic data strategies. Ensure seamless alignment between client hypotheses and Tempus capabilities, effectively matching the right datasets to their specific research needs and guiding how to best leverage them.
  • Cross-Functional Subject Matter Expertise: Serve as a core scientific authority across the organization. Evaluate datasets, perform User Acceptance Testing (UAT), and build data insight reports and capability demonstrations that empower various teams with scientifically validated evidence.
  • Cross-Domain Data Oversight: Support the continuous growth and scaling of Tempus' expanding clinical-genomic footprint across diverse disease domains, with an active focus on neurology and Immunology. Bring a holistic, cross-disciplinary view of human biology to profile and validate terabyte-scale datasets, leveraging a proven track record of scientific agility to seamlessly adapt, uncover novel biological patterns, and extract meaningful findings across varying disease areas.
Qualifications
  • Education & Experience: PhD in a quantitative, NGS-related discipline (e.g., Computational Biology, Genetics, Bioinformatics, Systems Biology) with 6+ years of industry experience across precision medicine, translational research, scientific product development, or related commercial and operational areas.
  • Domain Expertise: Deep expertise in at least one of oncology, neurology, or immunology. Additionally strong, demonstrable experience analyzing large-scale clinico-genomic datasets across multiple disease areas.
  • Data Engineering & Scale Architecture: Proven experience collaborating directly with data engineering and platform teams to build large-scale relational databases, design advanced SQL data models, and support the robust infrastructure needed to create and deploy massive, production-grade models.
  • Emerging AI & Foundational Modeling Knowledge: Active, up-to-date expertise with cutting-edge computational modeling, including experience leveraging foundation models, generative AI architectures, and agentic workflows to interpret and navigate complex biological data.
  • Multi-Omic & NGS Modalities: Deep expertise executing multi-omic analyses across a diverse spectrum of high-throughput sequencing applications and biotechnologies, including specialized NGS modalities such as single-cell sequencing, immunomics, metagenomics, and varied sequencing platforms.
  • Translational Impact: Proven experience bringing data to market and translatingscientific analyses into production-grade data products or clinical-facing solutions.
  • Programming: Proficiency in Python and/or R for reproducible scientific analysis, workflow development, and data visualization.
  • Strategic Leadership: Strong cross-functional communication skills with the ability to architect end-to-end execution plans, manage client expectations, and mentor technical peers through structured delegation.
CHI: $150,000-$200,000NYC/SF: $165,000-$225,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.