Data Visualization Engineer

3 weeks ago


Cambridge, Massachusetts, United States Harvard University Full time
Data Visualization Engineer at Harvard University

Company Overview: The Harvard Medical School is a world-renowned institution dedicated to advancing the understanding of human health and disease. Our team is committed to creating innovative solutions for biomedical data visualization, leveraging cutting-edge technologies to drive breakthroughs in research and medicine.

Salary: $87,000 - $110,000 per annum, depending on experience. Benefits include comprehensive medical, dental, and vision coverage, retirement plan with employer contributions, tuition assistance, and professional development opportunities.

Job Description: As a Data Visualization Engineer, you will be responsible for designing and implementing interactive visualizations for genomics, epigenomics, and nucleomics data. You will work closely with researchers and the principal investigator to implement state-of-the-art web technologies and contribute to the development of Python or R software packages, server-side components, and data processing scripts.

Required Skills and Qualifications: A minimum of two years' post-secondary education or relevant work experience, completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred. Strong programming skills in JavaScript/TypeScript, React, Python, or R, and shell scripting languages. Familiarity with automated testing approaches, version control systems, and CSS/React design patterns and libraries.

Benefits: We offer a competitive salary and benefits package, including paid time off, comprehensive health insurance, and retirement plan with employer contributions. Additionally, you will have access to our Employee Assistance Program, wellness programs, and tuition reimbursement.

The HIDIVE Lab is an international leader in biomedical data science, driven by our passion for solving complex problems in data visualization and genomics. If you are a motivated and detail-oriented individual with a strong background in computer science and biology, we encourage you to apply for this exciting opportunity.

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