Summary
In this position with the Chesler Lab, you will collaborate closely with data scientists, software engineers, and scientists with expertise in statistical genetics and addiction research. You will use your skills to develop, design, and deploy interactive modular visualizations of complex multi-modal data and analytical results. Designing elegant and robust digital experiences that facilitate the discovery process is the core objective.
About Your JAX Internship Experience
As a JAX Intern, you will receive a dedicated mentor in your department and connect with your fellow interns through JAX-sponsored activities.
The desired start and end date for this position is Monday, Jan 6, 2025 – Friday, April 25, 2025.
What You'll Contribute
- Apply/refine algorithms for visualization of complex multi-modal data
- Design visualization algorithms that can operate on experimental data and analytical results so scientists can interrogate and explore relationships among data elements while maintaining scientific rigor
- Apply skills and gain experience in designing digital experiences that are responsive and adaptive
- Read scientific papers to gain a basic understanding of the biology and analytical methods relevant to the project
- Work with software engineers to develop algorithms that can be used across JAX systems and data
- Create visual designs through use of layouts, colors, and illustrations using modern design tools and techniques.
What You're Good At
JAX encourages applications from a diverse mix of educational backgrounds and experiences. Preferred qualifications include:
- Must be enrolled in a college or university program
- Graduate student majoring in Computer Science with a Data Visualization emphasis
- Background applying data visualization principles to complex data (systems genetics a plus)
- Experience deploying visualization modules in existing software (glue would be a plus)
- Familiarity with tools and techniques to drive collaborative design practices, communications, prototyping, and visual representations of user experience
- Ability to program in R or python with intermediate or better fluency
- Understanding of basic statistics (e.g. t-test, p-values) and network analysis
- Exposure to college-level biology and/or systems genetics data
- Curiosity about biological problems and a desire to develop systems for researchers to explore large biological datasets and analytical results
Submission of a resume and cover letter is required for this position
The hourly rate is $25-$35 per hour.
About JAX:
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.
