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Senior Histology Jobs in Decatur, GA (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... to histopathology imaging challenges Explore image representation in latent space for efficient ...

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Senior Histology information

See Decatur, GA salary details

$16

$34

$61

How much do senior histology jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for senior histology in Decatur, GA is $34.22, according to ZipRecruiter salary data. Most workers in this role earn between $24.86 and $40.62 per hour, depending on experience, location, and employer.

What is a senior histology?

Senior Histology Technicians are experienced laboratory professionals who specialize in preparing tissue samples for microscopic examination. They play a critical role in diagnosing diseases by using specialized techniques to process, section, and stain biological tissues. In addition to performing technical tasks, they often oversee junior staff, ensure quality control, and maintain laboratory equipment. Their work supports pathologists and medical researchers in identifying abnormalities and contributing to patient care.

What are the key skills and qualifications needed to thrive as a senior histology?

To thrive as a Senior Histologist, you need advanced knowledge of tissue processing, embedding, microtomy, staining techniques, and a relevant degree or certification in histotechnology. Experience with laboratory information systems, automated staining platforms, and quality control protocols is typically required. Attention to detail, problem-solving abilities, and strong organizational and leadership skills help you excel in managing workflow and mentoring junior staff. These competencies are essential to ensure accurate diagnostic results, maintain laboratory standards, and support effective pathology services.

What are some common challenges faced by senior histology, and how can they be addressed?

Senior Histology Technicians often encounter challenges such as managing high sample volumes while maintaining accuracy, troubleshooting equipment malfunctions, and ensuring compliance with strict laboratory protocols. Balancing workflow efficiency with quality control is essential, especially when handling complex or urgent cases. These challenges can be addressed by staying updated on best practices, participating in continuing education, and fostering open communication with pathologists and team members to quickly resolve issues and implement process improvements.

What is the difference between Senior Histology vs Histology Technician?

AspectSenior HistologyHistology Technician
Required CredentialsTypically requires a bachelor's degree in biology or related field, plus experienceUsually requires a high school diploma or associate degree, with on-the-job training
Work EnvironmentLaboratory settings in hospitals, research labs, or biotech companiesLaboratory settings, often in hospitals or diagnostic labs
Job ResponsibilitiesOversees tissue processing, quality control, and may supervise staffPrepares tissue samples, embeds, cuts, and stains slides

Senior Histology professionals typically have advanced education and oversee laboratory operations, while Histology Technicians focus on preparing and processing tissue samples. Both roles work in similar environments but differ in responsibilities and experience requirements.

What are popular job titles related to Senior Histology jobs in Decatur, GA?

For Senior Histology jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Senior Histology jobs in Decatur, GA look for?

The top searched job categories for Senior Histology jobs in Decatur, GA are:

Senior Histology jobs near you
Infographic showing various Senior Histology job openings in Decatur, GA as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 22% Part Time, and 4% Contract. Highlights an 83% Physical, and 17% Remote job distribution, with an average salary of $71,170 per year, or $34.2 per hour.

Senior Machine Learning Engineer

Career Renew

Atlanta, GA • Remote

$165K - $225K/yr

Full-time

Re-posted 1 hour ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.