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Scientific Visualization Jobs in Austin, TX (NOW HIRING)

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Communication & Visualization: Translate technical findings into "data stories" using tools like ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Communication & Visualization: Translate technical findings into "data stories" using tools like ...

Expert-level data science, data modeling, data pipeline skills. * Solid understanding of data management concepts - data processing, analytics, machine learning and visualization. * Experience with ...

Success in this role means being fluent in using statistics and visualization tools to answer ... Sciences (Sociology, Education, Economics, Political Science), Computer Science, Engineering ...

... and visualization ecosystem. The position owns experimentation, business analytics, and data to ... What You'll Bring * BS in computer science, statistics, mathematics, operations research, or ...

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

... data visualization, prototyping, and writing production code Qualifications : Required : • BS/MS in Computer Science, Statistics, Mathematics, or equivalent • Mastery of machine learning ...

... and visualization ecosystem. The position owns experimentation, business analytics, and data to ... What You'll Bring * BS in computer science, statistics, mathematics, operations research, or ...

We embrace collaboration with our partners and patients and take pride in the pursuit of scientific ... Support development and optimization of real-time surgical visualization and augmented reality ...

We embrace collaboration with our partners and patients and take pride in the pursuit of scientific ... Support development and optimization of real-time surgical visualization and augmented reality ...

Job Title Data Visualization & BI Developer (Tableau, Python, Snowflake) Overview / Summary We are ... Required Qualifications Bachelor's Degree in Management Information Systems, Computer Science ...

Job Title Data Visualization & BI Developer (Tableau, Python, Snowflake) Overview / Summary We are ... Bachelor's Degree in Management Information Systems, Computer Science, Statistics, Mathematics, or ...

We embrace collaboration with our partners and patients and take pride in the pursuit of scientific ... Support development and optimization of real-time surgical visualization and augmented reality ...

We embrace collaboration with our partners and patients and take pride in the pursuit of scientific ... Support development and optimization of real-time surgical visualization and augmented reality ...

We embrace collaboration with our partners and patients and take pride in the pursuit of scientific ... Support development and optimization of real-time surgical visualization and augmented reality ...

Showing results 21-40

Scientific Visualization information

See Austin, TX salary details

$25.8K

$61.5K

$99.6K

How much do scientific visualization jobs pay per year?

As of Aug 9, 2026, the average yearly pay for scientific visualization in Austin, TX is $61,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $71,900.00 per year, depending on experience, location, and employer.

What is a scientific visualization specialist?

A scientific visualization specialist is a professional who creates visual representations of complex scientific data to help researchers analyze and communicate findings. They often use tools like 3D modeling software, programming languages, and visualization techniques to produce accurate and informative graphics for research, education, or presentations.

What does a scientific visualization professional do?

Scientific Visualization professionals often work on projects that involve transforming large or complex datasets—such as those from simulations, experiments, or sensors—into interactive graphics, animations, or 3D models that reveal underlying patterns and trends. Day-to-day tasks may include collaborating closely with scientists and engineers to understand their data needs, developing custom visualization scripts, preparing publication-quality images, or building user-friendly visual interfaces for data exploration. Team structures can vary, but it's common to work in multidisciplinary groups where clear communication and iterative development are key. This hands-on, collaborative approach helps ensure that the resulting visuals are both scientifically accurate and accessible to the intended audience.

What skills and qualifications are needed for scientific visualization?

Excelling in Scientific Visualization requires a solid background in data analysis, computer graphics, and a relevant scientific discipline, often backed by a degree in fields like computer science, physics, or engineering. Familiarity with visualization software (e.g., ParaView, VTK, MATLAB), programming languages (such as Python or C++), and experience with 3D modeling tools are commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex information clearly are invaluable. These combined abilities are crucial for transforming intricate scientific data into visual formats that are both accurate and easily interpretable for various audiences.

Is data visualization a good career?

Data visualization is a viable career within fields like scientific visualization, requiring skills in data analysis, graphic design, and tools such as Tableau or D3.js. It offers opportunities in industries like research, healthcare, and technology, often involving collaboration with data scientists and engineers. The profession typically requires a strong understanding of data and visualization principles, with job prospects growing as data-driven decision-making increases.

What is a scientific visualization?

A Scientific Visualization job involves creating graphical representations of complex scientific data to help researchers, scientists, and the public understand patterns, relationships, and trends. Professionals in this field use tools like computer graphics, data analysis software, and programming languages to translate numerical or experimental data into visual formats such as 3D models, animations, or interactive simulations. These visualizations are widely used in fields such as medicine, engineering, climatology, and astrophysics to communicate findings effectively. The role requires a combination of technical skills, domain knowledge, and creativity to present data in an accessible and meaningful way.

What are popular job titles related to Scientific Visualization jobs in Austin, TX? For Scientific Visualization jobs in Austin, TX, the most frequently searched job titles are:
Infographic showing various Scientific Visualization job openings in Austin, TX as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $61,511 per year, or $29.6 per hour.

Data Scientist

MedReview

Austin, TX • On-site

Full-time

Re-posted 23 days ago


Job description

Position Summary:
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote.
Responsibilities:
  • Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions.
Qualifications:
  • Master's degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • Programming: Proficiency in Python or R along with SQL for database querying.
  • Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling.
  • Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.

Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams