ZipRecruiter

Log In

1

Environmental Data Science Jobs in Boston, MA (NOW HIRING)

Wit

Adjunct Instructor, Data Science

Boston, MA

$1.3K/wk

Adjunct Professor - Data Science Department: School of Computing and Data Science Location ... We celebrate diversity and are committed to creating an inclusive environment for all employees.

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... sciences environment. What You'll Do * Define and lead analytics and AI strategy using modern ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA

$120K - $135K/yr

Contribute to end-to-end data science projects that improve product performance, customer ... Experience deploying models into production environments * Exposure to cloud services from AWS ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K/yr

Contribute to end-to-end data science projects that improve product performance, customer ... Experience deploying models into production environments * Exposure to cloud services from AWS ...

previous pagenext page

Showing results 21-40

All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Boston, MA

Environmental Data Science information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do environmental data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for environmental data science in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 per year, depending on experience, location, and employer.

Is environmental data science a good major?

Environmental data science is a strong major for those interested in analyzing environmental data, using tools like GIS and statistical software. It prepares students for roles in environmental monitoring, research, and policy, often requiring skills in programming, data analysis, and environmental science. Job prospects are growing as organizations seek data-driven solutions to environmental challenges.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, assess environmental risks, and support decision-making. They use statistical tools, programming languages like Python or R, and GIS software to interpret data related to climate, pollution, and natural resources, often working with large datasets and models to inform environmental policies and practices.

What is environmental data science?

Environmental Data Science is an interdisciplinary field that uses statistical, computational, and analytical techniques to collect, analyze, and interpret large sets of data related to the environment. Professionals in this field work on issues like climate change, pollution, biodiversity, and natural resource management by extracting meaningful insights from complex environmental datasets. Their work supports decision-making for policy, conservation, and sustainability initiatives. Environmental data scientists often collaborate with ecologists, geographers, and policymakers to address environmental challenges using data-driven approaches.

What are some common challenges faced by environmental data scientists when working with real-world datasets?

Environmental data scientists often encounter challenges such as incomplete or inconsistent data, varying data formats, and the need to integrate information from multiple sources like sensors, satellites, and field observations. Addressing missing values, data quality issues, and ensuring proper geospatial alignment can be time-consuming but is essential for producing reliable analyses. Collaboration with domain experts and stakeholders is frequently required to interpret findings and ensure that the results are actionable for environmental policy or management decisions.

What is the difference between Environmental Data Science vs Environmental Data Analyst?

AspectEnvironmental Data ScienceEnvironmental Data Analyst
Required CredentialsTypically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certificationsUsually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications
Work EnvironmentResearch labs, data centers, environmental agencies, or consulting firmsEnvironmental agencies, research organizations, or consulting firms
Employer & Industry UsageUsed in environmental research, climate modeling, and policy analysisUsed in environmental monitoring, reporting, and data interpretation

Environmental Data Science focuses on developing models and algorithms to analyze complex environmental data, often requiring advanced programming skills. In contrast, Environmental Data Analysts primarily interpret and visualize environmental data to support decision-making. Both roles are vital but differ in technical depth and scope.

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

To thrive as an Environmental Data Scientist, you need strong quantitative skills, expertise in environmental science, and a relevant degree in data science, statistics, or a related field. Familiarity with data analysis tools such as Python, R, GIS software, and experience with large datasets or machine learning techniques is typical. Exceptional problem-solving abilities, communication skills, and attention to detail set top performers apart in this field. These competencies are crucial for effectively interpreting complex environmental data, informing policy, and driving impactful sustainability initiatives.
What are the most commonly searched types of Environmental Data Science jobs in Boston, MA? The most popular types of Environmental Data Science jobs in Boston, MA are:
What are popular job titles related to Environmental Data Science jobs in Boston, MA? For Environmental Data Science jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science jobs in Boston, MA look for? The top searched job categories for Environmental Data Science jobs in Boston, MA are:
Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,343 per year, or $64.1 per hour.

Associate Director, Data Science

Rhythm Pharmaceuticals

Boston, MA • On-site

$64K - $64K/yr

Full-time

Posted 26 days ago

Job description

Company Overview
Rhythm is a global, commercial-stage biopharmaceutical company committed to transforming the lives of patients living with rare neuroendocrine diseases. We develop medicines for previously untreatable or undertreated diseases. We recognize the courage it takes for patients and their caregivers to begin their journey of advocacy to find the answers they need. Their courage inspires us to challenge convention, ask bold questions and seek answers for them. Every day, we strive for excellence through our willingness to adapt, learn, and our tenacity to overcome barriers, together.
Opportunity Overview
We are seeking a highly motivated Associate Director of Data Science within Rhythm's Research group and the Data Sciences Team in support of our clinical, regulatory, and scientific objectives in the rare neuroendocrine/obesity/metabolic disease. The successful candidate will have a strong background in biostatistics, genetics, and data analytics, and will be responsible for implementing advanced AI data models, predictive tools, and integrative analyses across the obesity and metabolic disease therapeutic areas. A core focus of this position will be the development and implementation of algorithmic phenotyping approaches using electronic medical records (EMR) and real-world datasets, enabling robust patient stratification, cohort definition, and integration with genomics and biomarker data. This position is ideal for a technically strong investigator who thrives in a fast-paced environment and is motivated to apply and scale high-impact data science infrastructure alongside a growing team.
Responsibilities and Duties
  • Design and deploy AI-driven, agent-based phenotyping pipelines that leverage EMR/EHR and real-world data to define disease cohorts, endpoints, and longitudinal outcomes.
  • Develop scalable approaches for cohort identification, feature extraction, and phenotype validation, including rule-based and machine learning methods.
  • Maintain high-throughput rare variant curation and classification models.
  • Execute the design, development, and deployment of data analysis pipelines, statistical models, and predictive tools to support Genetics-led programs.
  • Lead hands-on integration of clinical, EMR, genomics, and biomarker datasets, enabling multi-modal analyses.
  • Build and maintain reproducible workflows for data ingestion, harmonization (e.g., coding systems, ontologies), QC, and analysis (SQL, Python, R).
  • Apply statistical genetics and advanced analytics to link phenotypic definitions with genetic signals, including rare variant analyses.
  • Drive improvements in data infrastructure and phenotyping frameworks to support team expansion and increased dataset complexity.

Qualifications and Skills
  • Ph.D. in Biostatistics, Computational Biology, Genetics, Data Science, or related quantitative field.
  • ~5+ years of relevant experience in biotechnology, pharmaceuticals, or healthcare analytics.
  • Experience with neuroendocrine, obesity/metabolic-related biology and datasets.
  • Experience applying machine learning and AI models to real-world and clinical datasets, including model development, evaluation, and deployment in production or near-production settings.
  • Experience developing or utilizing AI-driven agents/workflows to automate data extraction, phenotyping, analysis, or knowledge generation tasks.
  • Strong hands-on expertise in SQL, Python, and R, with experience building production-quality data pipelines.
  • Experience with cloud computing and storage environments including AWS, GCP, Snowflake.
  • Demonstrated experience with variant calling pipelines, variant interpretation and ACMG rare variant classification.
  • Demonstrated experience in EMR/EHR and real-world data analysis (e.g., UK Biobank, All of Us) including cohort building and longitudinal data modeling.
  • Proven track record in algorithmic phenotyping, including use of coding systems (ICD, CPT, SNOMED), clinical ontologies, and feature engineering.
  • Familiarity with broader bioinformatics/multi-omics methodologies including RNA-seq, methylation analysis, long-read sequencing would be advantageous.
  • Strong problem-solving skills and ability to operate independently in a fast-paced, execution-focused environment.
  • Excellent communication skills with the ability to clearly present complex analytical outputs to technical stakeholders.

This role can be remote or based out of our corporate office in Boston, Massachusetts. Rhythm operates in a hybrid-work model. Candidates applying must be willing and able to be in the Boston office in coordination with their department and business needs. This role may involve some travel.
More about Rhythm
We are a dynamic and growing global team spanning more than a dozen countries. At Rhythm we are dedicated to transforming the lives of patients living with rare neuroendocrine diseases by rapidly advancing care and precision medicines that address the root cause. Our team is passionate about expanding access to reach more patients and developing novel therapies for other rare neuroendocrine diseases, including congenital hyperinsulinism.
At Rhythm our core values are:
  • We are committed to advancing scientific understanding to improve patients' lives
  • We are inspired to tackle tough challenges and have the courage to ask bold questions
  • We are eager to learn and adapt
  • We believe collaboration and ownership are foundational for our success
  • We value the unique contribution each individual brings to furthering our mission

Inherent in our core values is the commitment to act ethically and with integrity in all we do.
Rhythm is an equal employment opportunity employer and does not discriminate against any applicant because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, disability, genetic information, veteran status, military status, application for military service, or any other class protected by state or federal law.
Headquartered in Boston, Rhythm is proud to have been named one of the Top Places to Work in Massachusetts.

Apply