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

Data Scientist

Boston, MA · On-site

$110 - $120/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Supportend-to-end data science projectsfrom conceptualization through to deployment,and deploy advanced machine learning models in clients' cloud environments,optimizingfor scalability, performance ...

New

... Data Science to lead and strategize the technical direction for advanced analytics and AI. This ... environments. • Conduct comprehensive assessments and evaluations of third-party AI solutions ...

Senior Manager, Data Science - FCRM Modeling

Boston, MA · On-site

$123K - $201K/yr

  • Medical

  • Retirement

  • PTO

Works in a highly interactive, team-oriented environment with Big Data developers, and analytical ... Manages workload of data science team; assigning data request to staff based on skills and ...

Senior Data Scientist

Boston, MA · On-site

$130 - $175/hr

You should also harness your mastery of Data Science to consult on various aspects of these and ... Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.

Data Scientist

Boston, MA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work closely with business teams and data science engineers to collaboratively build and deliver ... We'll recognize and support you in a flexible environment where well-being and inclusion are more ...

GCS, Data Scientist, AVP

Quincy, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate combines strong data science depth with practical cybersecurity awareness and ... Working knowledge of AWS data and analytics services or cloud-based analytical environments.

Data Scientist

Boston, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments. * Exposure to ...

Showing results 41-60

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 13, 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 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:
Infographic showing various Environmental Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $133,343 per year, or $64.1 per hour.

Director, Data, Data Science and Artificial Intelligence - Oncology / Bladder Cancer

Jj

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more athttps://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for aDirector, Data, Data Science and Artificial Intelligence - Oncology / Bladder Cancerto join the J&J Research and Development Data, Data Science, and AI (DDSAI) team. You will report to the Head of Solid Tumor Oncology, DDSAI. This position will be located in either New Brunswick, NJ; Spring House, PA; Titusville, NJ; Raritan, NJ; San Diego, CA ; or Cambridge, MA. (No remote option.)

Role Summary

The R&D Data, Data Science, and AI, Oncology Therapeutic Area team at J&J Innovative Medicine is dedicated to developing innovative solutions and critical insights to support clinical programs and regulatory submissions. This Director role, sitting on the Solid Tumor Oncology team, will direct and lead efforts to bring innovative Data Science approaches to late stage Oncology Compound Development Team(s) with a specific focus on the Bladder Cancer portfolio. You will work with cross-functional collaborative teams to transform Oncology clinical trials through cutting-edge AI, digital health technologies, and advanced statistical methodologies. This may include the discovery, development, and validation of novel AI endpoints, analytics to support study design and development, or innovative digital pathology approaches in support of translational research objectives. By combining deep knowledge of Oncology with expertise in Data, Data Science, and AI, you will deliver solutions that enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance. You will be a thought leader within Johnson & Johnson -- driving strategic collaborations, championing innovation, and elevating Data Science capabilities in the Oncology Therapeutic Area. The successful candidate will lead multidisciplinary teams, manage internal and external partnerships, and provide technical expertise to enhance R&D success and patient impact.


Key Responsibilities:

  • Serve as primary scientific and strategic business leader for clinical-stage Bladder Cancer Program within Data, Data Science, and AI
  • Represent Data Science to Compound Team(s), where you will identify, develop and deploy Data Science solutions, including program and trial AI strategy to support clinical development.
  • Provide subject matter expertise in bladder cancer clinical development, trial design, real-world evidence generation, and ML/AI tools.
  • With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets
  • Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Medical Affairs, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions.
  • Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for program needs

Required Qualifications:

  • Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high-dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science).
  • A minimum of 8 years experience in drug development or related discipline in the field of biotechnology, artificial intelligence, omics, or real-world evidence, or 8 years in clinical practice with outcomes research experience.
  • Working knowledge of clinical oncology, such as treatment paradigms, patient experience, and clinical trials
  • An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining
  • Hands-on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem-solving abilities
  • Experience working with healthcare-related datasets, such as electronic health records (EHR), omics, or imaging datasets, with an understanding of their structure, limitations and applications to research.
  • Prior experience working and driving external partnerships, either corporate or academic
  • Proven track record of managing timelines and driving key deliverables in a matrixed organization
  • Excellent communication, interpersonal, and written skills

Preferred Qualifications:

  • Working knowledge of genitourinary clinical oncology
  • Hematology/ Oncology fellowship training
  • R&D Experience at a pharmaceutical company, biotech or partner organization
  • Knowledge of regulatory science

This position will be located in either New Brunswick, NJ; Spring House, PA; Titusville, NJ; Raritan, NJ; San Diego, CA ; or Cambridge, MA. (No remote option.) This position may require up to 10% travel.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent's consent for the background check.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us viahttps://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $164,000 to $282,900. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

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Required Skills:

Preferred Skills:

Advanced Analytics, Business Case Modeling, Consulting, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Master Data Management (MDM), Negotiation, Product Portfolio Management, Quality Control (QC), Resource Planning, Tactical Planning, Technical Credibility