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Data Science Sustainability Remote Jobs in Rochester, NY

IDEX

Data Analyst, Finance

West Henrietta, NY · On-site +1

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION ... Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ...

Iff

Technical Service Account Manager

Rochester, NY · On-site +1

We partner with customers around the world to deliver sustainable, sciencebased innovations that ... This role is based in United State and is a remote position. You will be part of a collaborative ...

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All JobsData Science Sustainability JobsData Science Sustainability Remote JobsData Science Sustainability Remote Jobs in Rochester, NY

Data Science Sustainability Remote information

See Rochester, NY salary details

$37K

$121.1K

$193.9K

How much do data science sustainability remote jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science sustainability remote in Rochester, NY is $121,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a data science sustainability remote job?

A Data Science Sustainability Remote job involves using data analysis and machine learning techniques to address environmental and sustainability challenges while working from a remote location. Professionals in this role analyze large datasets to uncover insights that can improve energy efficiency, reduce waste, and help organizations meet their sustainability goals. They often collaborate with sustainability teams and decision-makers to design data-driven strategies for positive environmental impact. Remote work allows them to perform these tasks from virtually anywhere, providing flexibility and access to a wide range of organizations.

What does a data science sustainability remote professional do?

In a remote Data Science Sustainability role, you'll frequently collaborate with teams such as environmental specialists, product managers, and IT professionals to analyze data and develop models that support the organization's sustainability goals. Effective virtual communication and project management tools are essential, as you may participate in regular video meetings, share progress updates, and co-develop solutions to track and reduce environmental impact. By working closely with diverse departments, you help translate complex data insights into actionable strategies, making your contributions highly visible and impactful across the organization.

What skills and qualifications are needed to thrive as a data science sustainability remote professional?

To excel as a Data Science Sustainability professional in a remote setting, you need a solid background in data analysis, statistical modeling, and domain knowledge in environmental or sustainability science, typically backed by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and experience with sustainability data platforms or certifications such as LEED or GRI is highly valuable. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating across virtual teams and translating data insights into actionable strategies. These skills ensure that data-driven decisions effectively support sustainability goals while maintaining productivity and alignment in a remote work environment.

What is the difference between Data Science Sustainability Remote vs Data Analyst Sustainability Remote?

AspectData Science Sustainability RemoteData Analyst Sustainability Remote
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like SAS or PythonBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentRemote, collaborative teams, often with data engineering and analytics departmentsRemote, focused on data collection, cleaning, and reporting within sustainability projects
Employer & Industry UsageTech companies, environmental agencies, consulting firmsResearch institutions, environmental organizations, corporate sustainability teams

Data Science Sustainability Remote involves advanced analytics, machine learning, and modeling to support sustainability initiatives, requiring technical expertise. Data Analyst Sustainability Remote focuses on analyzing and visualizing sustainability data to inform decisions. Both roles are remote and integral to sustainability efforts but differ in technical complexity and responsibilities.

What are the most commonly searched types of Data Science Sustainability jobs in Rochester, NY?

The most popular types of Data Science Sustainability jobs in Rochester, NY are:

What are popular job titles related to Data Science Sustainability Remote jobs in Rochester, NY?

For Data Science Sustainability Remote jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Data Science Sustainability Remote jobs in Rochester, NY look for?

The top searched job categories for Data Science Sustainability Remote jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Data Science Sustainability Remote jobs?

Cities near Rochester, NY with the most Data Science Sustainability Remote job openings:

Data Science Sustainability Remote jobs near you
Infographic showing various Data Science Sustainability Remote job openings in Rochester, NY as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $121,102 per year, or $58.2 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Rochester, NY • Remote

$90 - $120/hr

Part-time

Posted 20 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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