Cambridge, MA · On-site
$106K - $159K/yr
... annotation from mass-spectrometry and transcriptomics platforms. Integrate spatial metabolomics ... Background in image analysis and spatial statistics (segmentation, registration, spatial point ...
Cambridge, MA · On-site
$106K - $159K/yr
... annotation from mass-spectrometry and transcriptomics platforms. Integrate spatial metabolomics ... Background in image analysis and spatial statistics (segmentation, registration, spatial point ...
$825.21 - $1.1K
3% of jobs
$1.1K - $1.3K
5% of jobs
$1.3K - $1.5K
12% of jobs
$1.7K is the 25th percentile. Wages below this are outliers.
$1.5K - $1.8K
8% of jobs
$1.8K - $2K
9% of jobs
$2K - $2.2K
9% of jobs
The median wage is $2.3K / yr.
$2.2K - $2.5K
11% of jobs
$2.5K - $2.7K
12% of jobs
$2.8K is the 75th percentile. Wages above this are outliers.
$2.7K - $2.9K
14% of jobs
$2.9K - $3.2K
9% of jobs
$3.2K - $3.4K
7% of jobs
$825
$2.3K
$3.4K
An Image Annotation job involves labeling or tagging objects, regions, or features within images to train machine learning models. Annotators use various techniques, such as bounding boxes, polygons, or key points, to define elements in images. This work is essential for tasks like object detection, image segmentation, and facial recognition. Image annotation helps improve AI accuracy in applications such as autonomous vehicles, medical imaging, and security systems.
To thrive as an Image Annotation professional, attention to detail, strong visual perception, and accuracy are essential, often complemented by a high school diploma or relevant experience in data labeling or computer vision projects. Familiarity with annotation tools such as LabelImg, CVAT, or Supervisely, and a basic understanding of file formats and image labeling standards are typically required. Excellent communication, time management, and the ability to focus on repetitive tasks help individuals excel in this position. These skills ensure high-quality annotated data, which is critical for training reliable machine learning and AI models.
Image annotation specialists often encounter challenges such as maintaining accuracy and consistency when labeling large volumes of images, especially when object boundaries are ambiguous or vary across images. The need to meet tight project deadlines while ensuring high-quality output can be demanding, and handling repetitive tasks may require sustained focus and attention. Collaboration with machine learning engineers or project managers is common, as they may provide feedback or clarification on annotation guidelines. Despite these challenges, working in image annotation offers the opportunity to contribute directly to cutting-edge AI technologies and gain valuable experience in the growing field of computer vision.
The most popular types of Image Annotation jobs in Boston, MA are:
For Image Annotation jobs in Boston, MA, the most frequently searched job titles are:
The top searched job categories for Image Annotation jobs in Boston, MA are:
Cities near Boston, MA with the most Image Annotation job openings:
$106K - $159K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 27 days ago
8.3
Based on 70 frontline employees who took The Breakroom Quiz
25th of 86 rated pharmaceutical
At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us.
If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Computational Biologist - Spatial Multi-Omics Bayer has an opening for a Computational Biologist - Spatial Multi-Omics to join our Translational Sciences Cardiovascular Renal Team based at the Bayer Innovation Campus in the heart of Kendall Sq, Cambridge, MA. We are seeking a highly skilled Bioinformatics Scientist to join our team, focusing on the development and maintenance of scalable pipelines for spatial and deep visual multi-omics analysis.
The successful candidate will play a crucial role in integrating various omics data types to drive insights for target discovery, biomarker development, and mechanism-of-action studies. YOUR TASKS AND RESPONSBILITIES The primary responsibilities of the Computational Biologist - Spatial Multi-Omics are to: Build and maintain scalable pipelines for spatial and deep visual multi-omics analysis, including data ingestion, QC, normalization, batch correction, feature extraction, and annotation from mass-spectrometry and transcriptomics platforms. Integrate spatial metabolomics/proteomics with transcriptomics, genomics, and histopathology images to deliver multi-modal insights for target discovery, biomarker development, and mechanism-of-action studies.
Evaluate, benchmark, and optimize tools and workflows; contribute to internal software (R/Python) and visualization frameworks to streamline spatial omics analytics. Perform spatially aware statistical analyses to identify regulated molecular markers across tissue regions, cell types, and phenotypes Develop and apply algorithms for spatial segmentation, clustering, co-localization, neighborhood analysis, and spatial correlation; conduct pathway/network analyses. Collaborate with experimental biologists, pathologists, chemists, and clinicians to shape hypotheses, design studies, and translate findings into decisions for research programs.
Document pipelines and analyses to ensure reproducibility, compliance, and knowledge transfer; prepare clear visualizations and narratives for internal reviews, publications, and external collaborations. Partner with data engineering/IT to manage large spatial datasets, define metadata standards, and implement versioning, governance, and access control best practices. WHO YOU ARE Bayer seeks an incumbent who possesses the following: Required qualifications: PhD in Computational Biology, Bioinformatics, Systems Biology, Biostatistics, Computer Science, or related field; or MSc with substantial relevant experience.
Hands-on experience analyzing mass spectrometry and transcriptomics spatial data, including QC, normalization, feature extraction, and statistical interpretation. Background in image analysis and spatial statistics (segmentation, registration, spatial point patterns, neighborhood analysis). Exposure to machine learning or deep learning for omics or imaging data.
Familiarity with MS and spatial tools like MZmine, MaxQuant, Proteome Discoverer, Skyline, OpenMS, etc.; and spatial frameworks like Squidpy, Giotto, Seurat/Spatial, Napari, ImageJ/Fiji, CellProfiler, etc. Experience with pathway/network analysis (e.g., KEGG, Reactome, MetaboAnalyst, Cytoscape). Proficiency in Python and/or R; comfort with Linux/Unix environments, high-performance computing, and version control (Git)
Demonstrated ability in high-dimensional data analysis, statistics, and reproducible pipeline development. Solid understanding of molecular biology, biochemistry, and metabolism to interpret results and design analyses. Strong communication skills; experience collaborating within interdisciplinary teams and presenting complex results to diverse audiences Employees can expect to be paid a salary between $106,400.00 - $159,600.00
Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
This posting will be available for application until at least 08/17/2026 YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger.
Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S
Executive Orders. Bayer is an E-Verify Employer. Location: United States : Massachusetts : Cambridge Division: Pharmaceuticals Reference Code: 868556 Contact Us Email: hrop_usa@bayer.com
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Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to help people and planet thrive by supporting efforts to address the unprecedented global challenges presented by a growing and aging global population. At Bayer, we’re committed to drive sustainable development and generate a positive impact with our businesses. Through bold ideas and unprecedented insights, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.
Agriculture
10,000+ Employees
Whippany, NJ, US
