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Remote Scientist Jobs in Worcester, MA (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Worcester, MA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

Revvity

Sr. Tax Manager (REMOTE)

Waltham, MA · On-site +1

$134K - $167K/yr

... scientists, researchers, and clinicians solve the world's greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000 ...

Revvity

Sr. Tax Manager (REMOTE)

Waltham, MA · Remote

$134K - $167K/yr

... scientists, researchers, and clinicians solve the world's greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000 ...

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Showing results 1-20

All JobsScientist JobsRemote Scientist JobsRemote Scientist Jobs in Worcester, MA

Remote Scientist information

See Worcester, MA salary details

$83.3K

$126.8K

$170.6K

How much do remote scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote scientist in Worcester, MA is $126,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,800.00 and $143,200.00 per year, depending on experience, location, and employer.

What is a remote scientist?

A Remote Scientist is a professional who conducts scientific research, analysis, and experiments while working remotely, often using digital tools and virtual collaboration platforms. They may work in various fields, including environmental science, data science, biotechnology, and engineering. Remote Scientists communicate their findings through reports, presentations, or virtual meetings with colleagues and stakeholders. This role requires strong problem-solving skills, self-discipline, and proficiency in using remote research tools.

What does a remote scientist do?

A typical day for a Remote Scientist often involves analyzing datasets, designing experiments or simulations, collaborating with team members via video calls or shared digital platforms, and preparing reports or presentations. Depending on their specialization, they may spend time running remote experiments, writing scientific papers, or contributing to grant proposals. While much of the work is independent, regular virtual meetings are held to ensure alignment with projects and to discuss research progress. This structure allows Remote Scientists to balance focused research time with teamwork and ongoing professional development.

What skills and qualifications are needed to thrive as a remote scientist?

To thrive as a Remote Scientist, you need a strong grounding in scientific research methods, data analysis, and a relevant advanced degree such as a Master's or Ph.D. Tools like statistical software (e.g., R, Python), laboratory management systems, and secure data-sharing platforms are frequently used, along with certifications in specialized areas if required. Exceptional written and verbal communication, self-motivation, and organizational skills are essential for effectively collaborating within remote teams and managing independent projects. These abilities ensure remote scientists maintain high research standards, deliver impactful findings, and successfully bridge the gap between virtual collaboration and tangible scientific progress.

Is 40 too late to become a remote scientist?

Age is not a barrier to becoming a remote scientist, as the field values skills, experience, and education. Many scientists transition careers or pursue advanced degrees later in life, and remote work often requires strong communication and technical skills that can be developed at any age.

What remote scientist jobs are there?

Remote scientist jobs include roles such as research scientists, data scientists, laboratory scientists, and environmental scientists. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific research, and may involve collaboration through digital tools and virtual meetings.

What are the most commonly searched types of Scientist jobs in Worcester, MA?

The most popular types of Scientist jobs in Worcester, MA are:

What are popular job titles related to Remote Scientist jobs in Worcester, MA?

For Remote Scientist jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Remote Scientist jobs in Worcester, MA look for?

The top searched job categories for Remote Scientist jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Remote Scientist jobs?

Cities near Worcester, MA with the most Remote Scientist job openings:

Remote Scientist jobs near you
Infographic showing various Remote Scientist job openings in Worcester, MA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 14% Part Time, and 5% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $126,754 per year, or $60.9 per hour.

Data Scientist (Hybrid Worcester, MA or Remote)

thg

Worcester, MA • On-site, Remote

Full-time

Posted 12 days ago

Job description

Our Personal Lines team is currently seeking a Data Scientist in our Worcester, MA office on a hybrid arrangement or fully remote work location. This is a full-time, exempt role.

Join a Team Where Data Drives Strategy:

At The Hanover, data science is a key driver of how we understand risk, improve customer experiences, and make smarter business decisions. We're looking for a curious, analytical, and collaborative Data Scientist to join our Personal Lines Analytics team.

In this role, you'll apply advanced analytics, machine learning, and statistical modeling techniques to solve meaningful business challenges across our Personal Lines organization. You'll work alongside business leaders, product managers, actuaries, and data scientists to transform complex data into actionable insights that influence underwriting, pricing, customer experience, and growth strategies.

This is an opportunity to work with large and complex datasets, develop production-ready analytical solutions, and help shape the future of a data-driven insurance organization.

Why Join The Hanover?

  • Work on high-impact analytics projects that directly influence business strategy and outcomes.
  • Partner with experienced data scientists, actuaries, and business leaders across the organization.
  • Access large-scale datasets and real-world business challenges that offer meaningful analytical opportunities.
  • Grow your technical and business skills while developing expertise in predictive analytics and machine learning.
  • Be part of a collaborative team that values innovation, continuous learning, and knowledge sharing.
  • Help modernize how a leading insurance organization uses data to serve customers and manage risk.

 

IN THIS ROLE, YOU WILL:

  • Develop and deploy predictive models, machine learning solutions, and statistical analyses to solve business problems.
  • Explore large datasets to identify patterns, trends, opportunities, and risks that drive business performance.
  • Partner with Personal Lines leaders and cross-functional stakeholders to understand business objectives and translate them into analytic solutions.
  • Design experiments, conduct exploratory analyses, and evaluate model performance to generate actionable insights.
  • Research and apply emerging data science methods, tools, and technologies to enhance business outcomes.
  • Communicate findings and recommendations through compelling visualizations, presentations, and storytelling tailored to technical and non-technical audiences.
  • Collaborate with data engineers and analytics partners to develop scalable, efficient, and sustainable analytical solutions.
  • Contribute to a culture of continuous learning, innovation, and analytical excellence.

 

WHAT YOU NEED TO APPLY:

Required Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Economics, or a related quantitative field.
  • 2-6 years of experience applying data science, machine learning, advanced analytics, or statistical modeling in a business environment.
  • Experience using Python and/or R for data analysis and model development.
  • Strong foundation in statistical analysis, predictive modeling, machine learning, and data mining techniques.
  • Experience working with large datasets and relational databases.
  • Ability to translate business questions into analytical approaches and communicate results effectively.
  • Strong problem-solving skills and intellectual curiosity.

Preferred Qualifications

  • Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field.
  • Experience building and deploying machine learning models in production environments.
  • Familiarity with cloud-based analytics platforms and modern data science workflows.
  • Insurance, financial services, or other risk-based industry experience.
  • Experience with data visualization and storytelling tools.

This job posting provides cursory examples of some of the job duties associated with this position. The examples provided are not complete, and the position may entail other essential and job-related functions and responsibilities that employees will be required to perform. 

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