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Spheroid Jobs (NOW HIRING)

Prepare cell culture medias and maintain cancer cell lines including spheroid cultures. * Assist with ordering and maintaining supply of inventories. * Maintain written documentation and subsequent ...

... spheroid/ microphysiological systems (MPS) architectures (i.e. organ chip technologies) for use in toxicological assessments and research method development. * Research efforts shall include ...

In-Vitro Toxicologist

Aberdeen, MD · On-site

$76K - $86K/yr

... spheroid/MPS architectures (i.e. organ chip technologies) for use in toxicological assessments and research method development. * Research efforts shall include determination of novel biomarkers of ...

Spheroid information

What are the key skills and qualifications needed to thrive as a spheroid, and why are they important?

I'm sorry, but 'Spheroid' is not a recognized professional occupation, so I cannot provide a relevant answer.

What is the difference between Spheroid vs Geotechnical Engineer?

AspectSpheroidGeotechnical Engineer
Required CredentialsBachelor's in Geology, Civil Engineering, or related field; certifications varyBachelor's or Master's in Civil or Geotechnical Engineering; often licensed
Work EnvironmentField surveys, laboratory testing, data analysisSite investigations, design, analysis, report writing
Industry UsageGeotechnical investigations, environmental assessmentsFoundation design, slope stability, soil testing

While Spheroid specialists focus on specific geological formations and data analysis, Geotechnical Engineers apply engineering principles to design foundations and assess soil stability. Both roles often collaborate in construction projects but differ in their core focus and qualifications.

What are the typical daily responsibilities of a spheroid engineer in a manufacturing environment?

As a Spheroid Engineer, your daily tasks often include monitoring the production of spheroidal components, analyzing quality control data, and troubleshooting process issues to optimize yield and performance. You’ll collaborate closely with production operators, quality assurance teams, and maintenance staff to ensure that equipment runs efficiently and products meet specifications. Regular responsibilities also involve documenting process changes, participating in team meetings to discuss continuous improvement, and staying updated on industry best practices to implement innovative solutions.

What is a spheroid?

In a scientific or biomedical context, spheroids are three-dimensional cell culture systems that mimic the structure and function of tissues in the human body. They are often used in research to study cell behavior, drug responses, and disease models, especially in cancer research. Spheroids provide more realistic results compared to traditional two-dimensional cell cultures because they better mimic the natural environment of cells. Researchers use them to test new drugs, understand disease mechanisms, and explore tissue engineering applications.
More about Spheroid jobs
Infographic showing various Spheroid job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Director, Machine Learning, Alzheimer's Disease Initiative

Arc Institute

Palo Alto, CA • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Arc Institute is a new scientific institution focused on understanding and treating complex human diseases, including Alzheimer's disease. They are seeking a Director of Machine Learning for their Alzheimer's Disease Initiative, responsible for building a team and developing advanced machine learning models to analyze neurodegeneration mechanisms.
Responsibilities:
• Attract, build and lead a team of exceptional machine learning research scientists dedicated to developing foundation models for cellular systems in Alzheimer's disease
• Develop and execute on a roadmap of interpretable machine learning approaches to understand disease mechanisms, with emphasis on variational inference, causal modeling, as well as modern transformer- and diffusion-based architectures
• Work closely with experimentalists on brain organoid/spheroid cellular models as well as in vivo models, working with scRNA-seq, Perturb-seq and other datasets to unravel causal gene pathways relevant to Alzheimer’s disease
• Develop predictive modeling approaches to identify how perturbations can move cell states from high risk Alzheimer’s profiles back to healthy / low risk states
• Collaborate closely with experimental biologists to ensure ML models are grounded in disease biology and can feedback into future experimental strategies
• Foster collaborations with external partners in the computational biology and neuroscience communities
• Publish high-impact research through preprints, journal publications, open source code, and presentations at leading conferences
Qualifications:
Required:
• PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or related quantitative field
• 7+ years of relevant experience with a minimum of 3 years of people management experience
• Strong research background with experience in academic settings (university, research institute) and/or biotech/pharmaceutical industry with a focus on scientific innovation
• Proven expertise in machine learning applications to biological datasets, with specific experience in single-cell profiling data and foundation model development
• Deep experience with interpretable machine learning approaches for biological systems (e.g. variational inference methods)
• Advanced technical skills in machine learning frameworks, particularly PyTorch, and ideally experience with model training at scale
• Publications in top-tier journals in computational biology and machine learning
• Excellent communication skills with ability to present complex machine learning concepts to both computational and biological audiences
• Proven ability to remain technically hands-on while providing effective team leadership, mentorship, and management
Preferred:
• Background in neurodegeneration research including familiarity with Alzheimer's disease datasets, pathways, networks, disease mechanisms, and eQTL analysis is a plus
Company:
Arc Institute is a biomedical science and research technology company. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.