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Computational Sustainability Jobs (NOW HIRING)

Computational Designer

New York, NY · On-site

$115K - $143K/yr

Role Overview OXMAN is seeking a Computational Designer to join the EDEN design team and develop ... Work that directly impacts the future of sustainable, regenerative environments

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Computational Physicist (Early, Mid-Career, or Senior Level) I-Pulse Albuquerque LLC We are seeking ... Our technology drives transformative, sustainable applications in energy-intensive industries such ...

Showing results 21-40

computational sustainability information

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$57.5K

$103.7K

$154.5K

How much do computational sustainability jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computational sustainability in the United States is $103,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $112,500.00 per year, depending on experience, location, and employer.

What is a computational sustainability?

A Computational Sustainability job involves using computational methods, such as AI, machine learning, and optimization, to tackle environmental and societal challenges. Professionals in this field work on problems like wildlife conservation, energy efficiency, climate modeling, and sustainable resource management. They often collaborate with ecologists, policymakers, and engineers to develop solutions that balance environmental and economic considerations. This interdisciplinary role requires expertise in computer science, data analysis, and domain-specific knowledge related to sustainability.

What are the key skills and qualifications needed to thrive in computational sustainability?

To thrive in Computational Sustainability, you'll need a strong background in computer science, mathematics, and environmental science, typically evidenced by an advanced degree in a related field. Familiarity with programming languages (such as Python or R), optimization tools, machine learning frameworks, and geospatial analysis systems is often required. Strong problem-solving abilities, collaboration, and effective communication set top candidates apart, as much of the work is interdisciplinary. These competencies are crucial for designing data-driven solutions to real-world environmental and sustainability challenges.

What are the typical challenges faced by professionals working in computational sustainability?

Professionals in Computational Sustainability often encounter the challenge of balancing complex environmental, social, and economic factors while developing practical computational models. Datasets can be incomplete or highly variable, requiring creative solutions and advanced analytics to generate actionable insights. Collaboration with experts in fields such as ecology, urban planning, or policy is common, making cross-disciplinary communication skills essential. Adapting to rapidly evolving technologies and staying updated with the latest research can also be demanding, but offers valuable opportunities for impactful work and career advancement.

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What cities are hiring for Computational Sustainability jobs?

Cities with the most Computational Sustainability job openings:

What are the most commonly searched types of Computational Sustainability jobs?

The most popular types of Computational Sustainability jobs are:

What states have the most Computational Sustainability jobs?

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What job categories do people searching Computational Sustainability jobs look for?

The top searched job categories for Computational Sustainability jobs are:

Infographic showing various Computational Sustainability job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, 1% Contract, and 1% Nights. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $103,684 per year, or $49.8 per hour.

Scientist, Computational Sensing

Flagship Pioneering

Cambridge, MA • On-site

$115 - $165/hr

Other

Medical, Retirement

Posted 14 days ago


Job description

Tilde Bio, Inc. (FL110) is building a next-generation biological sensing platform at the intersection of synthetic biology, protein engineering, nanopore biophysics, electrophysiology, signal processing, and machine learning. Our goal is to create programmable biological measurement systems capable of extracting rich molecular information from single-molecule interactions.

We believe nanopores generate a high-dimensional measurement of molecular identity and behavior that remains largely untapped. Unlocking that information requires new computational approaches — ones that don't yet exist — built by people who are comfortable working at the edge of what's known. At Tilde, you will work alongside scientists and engineers from diverse disciplines to help define how a new generation of biological sensing systems extract meaning from the physical world.

Tilde is backed by Flagship Pioneering, which brings the long-term vision and resources needed to build platforms that don't fit neatly into existing categories.

Position Overview

We are looking for a Bioinformatics Scientist to join our Computational Team to help build the analytical foundation that connects nanopore measurements to biological understanding. This role sits at the intersection of biology, physics, signal processing, and machine learning — you will work directly with experimental scientists and engineers to develop methods that transform complex biological measurements into actionable scientific insight.

This role requires creating and implementing standard pipeline, and goes beyond them. Here, you will build fundamental approaches to understanding and processing electronic data into an interpretable format and create methods to transform that data into actionable sequencing outputs. The problems are open-ended, and many of the analytical frameworks don't exist yet. The right person enjoys working with noisy experimental data, building quantitative models from first principles, and collaborating across disciplines.

What You Will Do
  • Analyze nanopore and electrophysiology datasets to identify biologically meaningful signal features.
  • Develop and implement computational workflows for event detection, classification, and molecular fingerprinting.
  • Build quantitative models that connect nanopore measurements to molecular identity, structure, and function.
  • Collaborate with experimental scientists to interpret results and shape the direction of future experiments.
  • Partner with protein science, signal processing, and machine learning teams to improve platform performance and analytical capabilities.
  • Help establish best practices for benchmarking, validation, and uncertainty quantification as the platform scales.
Qualifications

Required

  • Master's degree plus 3+ years of relevant industry experience, or PhD in Computational Biology, Biophysics, Bioengineering, Physics, Applied Mathematics, Computer Science, Electrical Engineering, or a related quantitative discipline.
  • Strong programming skills in Python and scientific computing environments.
  • Experience analyzing complex biological, physical, or time-series datasets — particularly in the presence of noise and experimental variability.
  • Solid background in at least two of: statistics, machine learning, signal processing, or Bayesian modeling.
  • Comfortable working across experimental and computational domains; able to engage meaningfully with wet-lab scientists on data interpretation.
  • Clear scientific communicator — written and verbal.

Preferred

  • Hands‑on experience with nanopore technologies, electrophysiology, or single‑molecule measurement platforms.
  • Experience applying deep learning or probabilistic modeling to biological or physical datasets.
  • Background in computational biophysics or time-series analysis of high‑dimensional biological signals.
About Flagship Pioneering

Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE's "Change the World" list, and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

The salary range for this role is $115,000 - $165,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL110 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL110's good faith estimate as of the date of publication and may be modified in the future.

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