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Science Visualization Jobs in Boston, MA (NOW HIRING)

... visualization tools, and cross-functional collaboration. This position offers an opportunity to ... Clinical Science & Data Interpretation * Analyze and interpret emerging clinical, safety, efficacy ...

... visualization tools, and cross-functional collaboration. This position offers an opportunity to ... Clinical Science & Data Interpretation * Analyze and interpret emerging clinical, safety, efficacy ...

... visualization tools, and cross-functional collaboration. This position offers an opportunity to ... Clinical Science & Data Interpretation * Analyze and interpret emerging clinical, safety, efficacy ...

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

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Science Visualization information

See Boston, MA salary details

$26.6K

$52.6K

$85.8K

How much do science visualization jobs pay per year?

As of Jul 9, 2026, the average yearly pay for science visualization in Boston, MA is $52,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,800.00 and $56,500.00 per year, depending on experience, location, and employer.

What jobs are good for visual thinkers?

Science visualization is well-suited for visual thinkers, as it involves creating visual representations of complex scientific data and concepts. Roles often require skills in graphic design, 3D modeling, and data interpretation, with tools like Adobe Creative Suite or visualization software. These jobs typically demand strong spatial reasoning and the ability to communicate information visually to diverse audiences.

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, and why are they important?

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 does a scientific visualizer do?

A scientific visualizer creates visual representations of complex scientific data and concepts to improve understanding and communication. They often use tools like 3D modeling, animation, and visualization software, and may work closely with researchers to accurately depict phenomena or data sets.

What jobs can I get with a visualization degree?

A visualization degree can lead to roles such as scientific visualization specialist, data visualization designer, or multimedia artist, often requiring skills in software like Adobe Creative Suite, Blender, or Tableau. These jobs typically involve creating visual representations of complex data or scientific concepts for research, education, or communication purposes.
What are popular job titles related to Science Visualization jobs in Boston, MA? For Science Visualization jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Science Visualization jobs in Boston, MA look for? The top searched job categories for Science Visualization jobs in Boston, MA are:
Infographic showing various Science Visualization job openings in Boston, MA as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 23% Part Time, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $52,572 per year, or $25.3 per hour.

Co-op, Materials Science, Electrosynthesis

Lila Sciences

Cambridge, MA • On-site

Full-time

Posted 14 days ago


Job description

Your Impact at LILA
Lila is seeking an Electrochemistry Co-op to join the Physical Sciences team and support its electrosynthesis program. Working alongside Lila scientists, you will run electrosynthesis experiments, characterize materials and products, and contribute to rigorous experimental data generation, analysis, and documentation.
You will collaborate with engineering, software, and data teams as needed to assemble, debug, and refine experimental workflows. Your work will sit at the intersection of electrochemistry, materials characterization, and experimental automation.
This role supports Lila's broader effort to build toward autonomous laboratory workflows in the electrochemical sciences, with direct exposure to applied electrorefining and electrowinning research.
What You'll Be Building
  • Conduct electrosynthesis experiments using established protocols and safety standards.
  • Characterize products, electrolytes, and electrodes using complementary analytical techniques.
  • Analyze, visualize, and quality-control experimental data.
  • Troubleshoot instruments, workflows, and data issues.
  • Maintain thorough, well-organized experimental documentation.
  • Collaborate with engineering, software, and data teams on workflow improvements.
  • Communicate findings, issues, and next steps clearly to the team.

What You'll Need to Succeed
  • Pursuing or recently completed a bachelor's or master's degree in Chemistry, Materials Science, Chemical Engineering, or a related field.
  • Hands-on electrochemistry experience, including electrodeposition, CV, CP, CA, EIS, LSV, or OCP.
  • Experience with characterization techniques for electrolytes and electrodes, such as ICP, conductivity, pH, surface roughness, or related measurements.
  • Experience handling corrosive or high-temperature solutions safely.
  • Proficiency in Python for data analysis and visualization.
  • Self-driven and able to work independently in a fast-paced, evolving research environment.
  • Strong problem-solving skills and attention to detail in hands-on technical work.
  • Clear written and verbal communication skills for documenting scientific work.

Bonus Points For
  • Exposure to autonomous or automated experimental workflows.
  • Interest in advancing autonomous laboratory operations.
  • Familiarity with HPLC, GC, FTIR, or related analytical techniques.
  • Rapid prototyping experience.
  • Prior research experience in electrochemistry, and electroanalytical techniques.

About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.