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Volunteer Biomedical Visualization Jobs in Massachusetts

Volunteer Biomedical Visualization information

What is a volunteer biomedical visualization?

Volunteer Biomedical Visualization professionals are individuals who offer their time and skills to create visual representations of biological and medical information. Their work includes designing illustrations, animations, and interactive media to help explain complex medical concepts to patients, students, or healthcare providers. These volunteers often collaborate with researchers, educators, or nonprofit organizations to enhance communication and understanding in the medical field. By volunteering, they help make scientific information more accessible and visually engaging, supporting education and public health initiatives.

What are the key skills and qualifications needed to thrive as a volunteer biomedical visualization?

To thrive as a Volunteer Biomedical Visualization specialist, you need a solid background in biology or medical sciences along with skills in graphic design, illustration, or 3D modeling. Familiarity with tools such as Adobe Creative Suite, Blender, or specialized medical illustration software is commonly required. Strong communication, attention to detail, and the ability to collaborate with healthcare professionals are valued soft skills. These competencies are essential for accurately translating complex scientific information into engaging visuals that support education and research.

What are some common challenges faced by volunteer biomedical visualization and how can they be addressed?

Volunteer Biomedical Visualization professionals often face challenges such as limited access to proprietary software, managing complex scientific data, and coordinating with researchers or medical teams who may have varying levels of visualization experience. Overcoming these hurdles typically involves leveraging open-source visualization tools, actively communicating with subject matter experts to clarify project goals, and staying flexible to adapt to changing project requirements. Building strong collaboration skills and continuously updating technical knowledge can help volunteers deliver high-quality visual content that supports scientific communication and education.

What are the most commonly searched types of Biomedical Visualization jobs in Massachusetts?

The most popular types of Biomedical Visualization jobs in Massachusetts are:

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

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

What cities in Massachusetts are hiring for Volunteer Biomedical Visualization jobs?

Cities in Massachusetts with the most Volunteer Biomedical Visualization job openings:

Principal Scientist, Data Science (Data Products, Integration & Analysis)

Scorpion Therapeutics

Cambridge, MA • On-site

$180 - $240/hr

Other

PTO

Posted yesterday

New


Job description

Position Summary
  • Lead design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.
  • Create scalable, interoperable, AI-ready data products connecting discovery, preclinical, clinical, safety, and real-world evidence; enable validated-biomarker data assets.
  • Establish data architecture, integration strategy, metadata framework, and productization approach for semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI.
  • Partner with scientific stakeholders, knowledge architects, AI engineers, and platform teams to define the future-state scientific data ecosystem and deliver high-quality products.
Mission
  • Build and operationalize AI-ready scientific data products for seamless integration, harmonization, and reuse across the drug discovery/development lifecycle.
Key Responsibilities
  • Define and execute data product strategy across discovery, translational science, preclinical safety, clinical development, pharmacovigilance, and real-world evidence.
  • Design data integration/harmonization (SEND, SDTM, ADaM, MedDRA, imaging, omics, biomarkers, pathology, real-world data).
  • Lead AWS deployment strategy; deliver scalable pipelines/products; ensure security/governance/AI-readiness alignment.
  • Develop curated datasets, semantic-ready products, feature stores, metadata products, scientific data services, and AI-ready assets.
  • Define metadata standards and quality frameworks; implement lineage/provenance/traceability and FAIR principles; monitor quality controls.
  • Build predictive AI/ML models for translational safety decision making.
Required Qualifications
  • Master's or PhD in CS, Data Engineering, Bioinformatics, Biomedical Informatics, Information Systems, Computational Biology, or related discipline.
  • 5+ years experience in scientific data engineering/architecture/products or life sciences informatics; enterprise-scale product delivery.
  • Experience in drug discovery/development/clinical research/pharmacovigilance and building predictive models in these domains.
Technical Expertise
  • Data architecture, modeling, product design, cloud-native platforms, metadata management, data governance, predictive model development.
  • AWS platforms; data lakes/lakehouses; distributed processing; APIs/data services; data cataloging/lineage solutions.
  • Familiarity with SEND/SDTM/ADaM/MedDRA.
Preferred Qualifications/Skills
  • Knowledge graphs/semantic architectures/GraphRAG; AI-ready products and feature stores; ontology-driven integration; experience with cloud/external platform teams; regulated scientific environments.
  • Preferred familiarity: FHIR, OMOP, DICOM, biomarker/omics standards.
  • Preferred skills: Advanced Analytics, Critical Thinking, Data Analysis, Data Quality, Data Science, Data Visualization, Digital Fluency, Process Improvements, Strategic Thinking, Workflow Analysis.
Benefits (time off)
  • Vacation: 120 hours/year; Sick: 40 hours/year (CO 48; WA 56); Holiday incl. Floating Holidays: 13 days/year; Work/Personal/Family Time: up to 40 hours/year; Parental Leave: 480 hours; Bereavement: 240 hours (immediate)/40 hours extended family; Caregiver Leave: 80 hours (52-week rolling period); Volunteer Leave: 32 hours/year; Military Spouse Time-Off: 80 hours/year.
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