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Science Visualization Jobs in Massachusetts (NOW HIRING)

Strong data visualization and exploratory data analysis skills. * Ability to translate complex ... Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine ...

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models ...

$129K - $203K/yr

Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data Visualization, Environmental Toxicology, Foundation Engineering, Large Language Models (LLMs ...

Acting as a key scientific expert and thought partner to program and functional leadership, this ... Proficiency with clinical trial management and data visualization tools. * Proven ability to lead ...

New

... Science, Economics, Finance - At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive ...

$64K - $65K/yr

The Data, AI and Genome Sciences (DAGS) department seeks a talented computational biologist to join ... Experience developing interactive data visualization tools, for example R Shiny, for multiomics ...

... science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts. * Mastery of data visualization and dashboard development using data sets ...

Showing results 41-60

Science Visualization information

What does a science visualization do?

A science visualization professional creates visual representations of scientific data, concepts, or processes to make complex information easier to understand. They often use tools like 3D modeling, graphic design, and data visualization software to produce images, animations, or interactive media for education, research, or communication purposes.

How does a science visualization professional typically collaborate with researchers and other stakeholders during a project?

Science Visualization professionals often work closely with researchers, subject matter experts, and communication teams to accurately represent complex data and scientific concepts. Early in a project, they attend meetings to understand the research goals and identify key messages. Throughout the process, they maintain open communication to ensure that visualizations are both scientifically accurate and visually engaging. This collaboration may involve iterative feedback sessions, adjustments to visual elements, and discussions about the best formats for target audiences. Such teamwork is essential for producing effective and credible visual content.

What is the difference between Science Visualization vs Scientific Illustrator?

AspectScience VisualizationScientific Illustrator
Required CredentialsDegree in science, visualization, or related fields; skills in 3D modeling and visualization softwareDegree in fine arts, illustration, or related fields; proficiency in traditional and digital illustration tools
Work EnvironmentResearch labs, universities, media companies, scientific institutionsPublishing houses, research institutions, freelance work, scientific publications
Employer & Industry UsageUsed by scientists and educators to create visual data representationsUsed by publishers, researchers, and museums to produce detailed scientific illustrations

Science Visualization focuses on creating digital visual representations of scientific data and concepts, often using 3D modeling and animation. Scientific Illustrators produce detailed, hand-drawn or digital illustrations to communicate scientific ideas visually. While both roles require scientific understanding, visualization emphasizes data-driven visuals, whereas illustration emphasizes artistic accuracy and detail.

What are the key skills and qualifications needed to thrive as a science visualization specialist?

To thrive as a Science Visualization Specialist, you need a solid background in scientific concepts, data analysis, and visual storytelling, often supported by a degree in science, graphic design, or a related field. Proficiency with visualization tools such as Python (Matplotlib, Seaborn), R, Adobe Creative Suite, or 3D modeling software is typically required. Strong communication, creativity, and attention to detail help translate complex data into clear, engaging visuals for diverse audiences. These skills are crucial for accurately conveying scientific information and fostering understanding among stakeholders and the public.

What is science visualization?

Science visualization is the process of creating visual representations of scientific data or concepts to make them easier to understand and communicate. This can include charts, graphs, animations, 3D models, and interactive graphics. Science visualization helps researchers, educators, and the public interpret complex information, discover patterns, and share findings effectively. It combines expertise in science, data analysis, and visual design.

What jobs use scientific illustration?

Scientific illustration is used in roles such as scientific illustrators, medical illustrators, and biological artists who create detailed visuals for textbooks, research publications, and educational materials. These professionals often work in laboratories, research institutions, or freelance settings, utilizing tools like Adobe Illustrator and Photoshop, and may require a background in biology or art.

What are popular job titles related to Science Visualization jobs in Massachusetts?

For Science Visualization jobs in Massachusetts, the most frequently searched job titles are:

What cities in Massachusetts are hiring for Science Visualization jobs?

Cities in Massachusetts with the most Science Visualization job openings:

Infographic showing various Science Visualization job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 17% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.

Senior Research Associate / Associate Scientist, Characterization

Lila Sciences

Cambridge, MA

Full-time

Posted 26 days ago


Job description

Your Impact at LILA

Lila Sciences is seeking a Senior Research Associate / Associate Scientist, Characterization to join the Materials Science team within the Autonomous Science Platform. This role focuses on operating, maintaining, and improving characterization workflows that support active materials research campaigns.

The person in this role will run and troubleshoot core characterization methods, including SEM, optical microscopy, and XRD, while helping bring new instruments and protocols into reliable use. They will partner with scientists, engineers, and platform teams to deliver high-quality measurements, document methods, and keep characterization workflows moving efficiently.

This is a hands-on role for someone who enjoys careful experimental work, dependable lab operations, and practical method development. The ideal candidate brings strong attention to detail, comfort working with scientific equipment, and interest in building repeatable workflows that support fast, high-quality research.

What You'll Be Building

  • Operate SEM, optical microscopy, XRD, and related characterization workflows.
  • Prepare samples and measurement plans for routine characterization requests.
  • Maintain instrument readiness through checks, calibration, documentation, and troubleshooting.
  • Develop and refine protocols for new tools, methods, and sample types.
  • Deliver high-quality measurement data with clear records and traceable methods.
  • Identify workflow bottlenecks and improve throughput, reliability, and data quality.
  • Partner with Materials Science, platform, and operations teams on campaign needs.

What You'll Need to Succeed

  • B.S. or M.S. in Materials Science, Chemistry, Physics, Engineering, or a related field.
  • 2 to 5 years of hands-on laboratory experience in materials characterization or adjacent workflows.
  • Experience operating SEM, optical microscopy, XRD, or other common materials characterization tools.
  • Strong sample preparation, measurement planning, and experimental documentation skills.
  • Ability to troubleshoot instruments, workflows, and data-quality issues.
  • Comfort following SOPs while improving protocols as methods mature.
  • Strong communication skills for coordinating with scientists, engineers, and operations teams.

Bonus Points For

  • Familiarity with materials sample preparation for microscopy or diffraction workflows.
  • Experience onboarding new lab equipment, methods, or characterization protocols.
  • Comfort working in high-throughput or service-oriented lab environments.
  • Basic data analysis, visualization, or scripting experience for measurement workflows.