2

Remote Science Jobs in Melrose, MA (NOW HIRING)

Research Mentor (Remote)

Boston, MA ยท Remote

$75 - $100/hr

Remote | Part-Time | $75-$100 per session About the Program: The MedSchoolCoach Research Mentorship Program is a fully virtual opportunity designed to help high school students explore their passion

Medical Writer - Remote

Boston, MA ยท Remote

$50 - $90/hr

Job Title: Medical Writer Expert Remote Location: Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical Writer / Clinical Document Author to develop,

Medical Writer - Remote

Boston, MA ยท Remote

$50 - $90/hr

Job Title: Medical Writer Expert Remote Location: Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical Writer / Clinical Document Author to develop,

At Danaher Diagnostics, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable,

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to

Support Scientist I - AKTA

Boston, MA ยท On-site +1

$70K - $85K/yr

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaher's 15+ operating companies, our

Showing results 21-40

Remote Science information

See Melrose, MA salary details

$26.4K

$52.1K

$85.1K

How much do remote science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote science in Melrose, MA is $52,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $56,000.00 per year, depending on experience, location, and employer.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

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

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and scientific writers. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, and may involve collaboration through digital communication tools.

What cities near Melrose, MA are hiring for Remote Science jobs?

Cities near Melrose, MA with the most Remote Science job openings:

Infographic showing various Remote Science job openings in Melrose, MA as of August 2026, with employment types broken down into 11% Internship, 69% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $52,149 per year, or $25.1 per hour.

Senior Data Science and Machine Learning Engineer

Bedford, MA โ€ข Remote

1 point system
IT Servicesย โ€ขย 51 - 200 employees

Contractor

Re-posted 13 days ago


Job description

Role

Senior Data Science and Machine Learning Engineer

Duration

6 months Contract to Hire

Location

Remote

Job Summary

    • We are seeking a Senior Data Science Engineer to design, build, and scale data-driven systems that power advanced analytics and machine learning across our organization. This role sits at the intersection of software engineering and data science; you’ll be responsible for building robust data pipelines, enabling experimentation, and deploying production-ready machine learning models.
    • As a senior team member, you will mentor junior engineers and data scientists, influence architectural decisions, and help shape the long-term AI and data strategy.

Key Responsibilities

    • Develop, deploy, and maintain machine learning models in production environments.
    • Collaborate with data scientists, analysts, and product managers to define and deliver data-driven features.
    • Ensure high-quality data through monitoring, validation, and robust testing frameworks.
    • Architect and maintain data platforms and tools for experimentation, model serving, and feature engineering.
    • Explore and integrate Large Language Models (LLMs) and other generative AI approaches into business applications and data workflows.
    • Contribute to code reviews, technical design discussions, and best practices for the team.
    • Mentor and guide junior engineers/data scientists, fostering technical excellence and career growth.
    • Stay current with emerging technologies in Data Science, Machine Learning, LLM Ops, ML Ops.

Education Requirement

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Master’s degree or PhD is a strong plus.

Experience

•            5+ years of experience in data engineering, machine learning engineering, or related roles.

•            Strong proficiency in Python (Pandas, NumPy, PySpark, or similar).

•            Solid understanding of ML model development, training, and deployment pipelines.

•            Experience with ML model monitoring and observability frameworks.

•            Experience with deep learning frameworks(TensorFlow, PyTorch).

•            Familiarity with CI/CD, version control (Git),and modern ML Ops practices.

Nice-to-Have

•            Contributions to open-source Data Science / Machine Learning libraries or frameworks.

•            Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization

Thanks and Regards

Monu Singh Chauhan 1Point System LLC
Technical Recruiter
  
monu.singh@1pointsys.com 

LinkedIn: linkedin.com/in/monu-singh-chauhan-610857204
115 Stone Village Drive • Suite C • Fort Mill, SC • 29708

         An E-Verified company | An Equal Opportunity Employer 

DISCLAIMER: If you have received this email in error or prefer not to receive such emails in the future, please notify by replying with a ''REMOVE'' in the subject line and your email address shall be removed immediately from the mailer list.