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Omics Jobs (NOW HIRING)

Noblesoft Technologies

Sr. Pharma Business Analyst

Rahway, NJ · On-site

$93K - $121K/yr

Business Analysis, Data Analytics, Pharma R&D domain experience specially focused in Omics Data products (Genomics, Metagenomics, Proteomics and Metabolomics) Must Have Experience: * Functional ...

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How much do omics jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for omics in the United States is $34.75, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $54.09 per hour, depending on experience, location, and employer.

What types of projects or research areas do professionals in Omics work on?

Professionals in Omics typically work on projects involving large-scale analysis of biological data, such as genomics, proteomics, metabolomics, or transcriptomics studies. Their work may include identifying genetic variants, understanding disease mechanisms, discovering biomarkers, or contributing to personalized medicine initiatives. Day-to-day responsibilities can involve designing experiments, running high-throughput sequencing, analyzing complex datasets, and collaborating with biologists, clinicians, and data scientists. This collaborative and data-driven environment offers opportunities to make significant scientific contributions and build expertise in rapidly evolving fields.

What are the key skills and qualifications needed to thrive in the Omics position, and why are they important?

To thrive in an Omics role, you need a solid background in molecular biology, genomics, or bioinformatics, usually supported by an advanced degree such as a Master's or PhD. Familiarity with data analysis tools (such as R, Python, and specialized software like Galaxy or GeneSpring), laboratory techniques, and next-generation sequencing platforms is essential. Strong analytical thinking, attention to detail, and effective communication skills are valuable soft skills. These abilities are critical for accurately interpreting complex biological data and collaborating with multidisciplinary teams to advance scientific research or clinical solutions.

What is an Omics job?

An Omics job involves studying large-scale biological data related to fields such as genomics, proteomics, metabolomics, or transcriptomics. Professionals in Omics analyze complex biological datasets to understand gene expression, protein functions, metabolic pathways, and their impact on health or disease. These roles often require expertise in bioinformatics, data science, and laboratory techniques. Omics jobs are found in research institutions, biotechnology companies, and healthcare organizations, contributing to advancements in personalized medicine and drug discovery.

More about Omics jobs
What cities are hiring for Omics jobs? Cities with the most Omics job openings:
What are the most commonly searched types of Omics jobs? The most popular types of Omics jobs are:
What states have the most Omics jobs? States with the most job openings for Omics jobs include:
What job categories do people searching Omics jobs look for? The top searched job categories for Omics jobs are:
Omics jobs near you
Infographic showing various Omics job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $72,289 per year, or $34.8 per hour.
Computational Scientist 3, Spatial Omics & Computational Pathology

Computational Scientist 3, Spatial Omics & Computational Pathology

Genentech, Inc.

South San Francisco, CA • On-site

$129K - $240K/yr

Full-time

Posted 6 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 73 rated pharmaceutical

Job description

The Opportunity
The Research Pathology Department, an integral part of Genentech's Research and Early Development Organization (gRED), is dedicated to ensuring that strategies for the treatment of diseases are grounded in accurate analyses of pathogenetic mechanisms. Building upon a strong foundation in digital pathology, the department is at the forefront of advancing spatial omics capabilities, integrating cutting-edge, tissue-based technologies with computational methods to enable high-resolution spatial profiling of biological systems. DPIA-SO (Digital Pathology Image Analysis-Spatial Omics) is a specialized team within Research Pathology focused on collaborative spatial omics computational analysis.
We are seeking a highly skilled Computational Scientist to join our team, operating at the intersection of computer vision, advanced machine learning, computational pathology, and spatial biology. The core focus is to develop models, digital pathology infrastructure, and AI pipelines needed to power spatial omics initiatives and scientifically driven projects. We welcome individuals from computational pathology and computer vision backgrounds who possess highly transferrable skills. Candidates with direct spatial omics machine learning expertise represent an ideal fit.
Key Responsibilities
  • Serve as the Technical Lead for computer vision, AI/ML, and multiplex imaging projects, architecting pipelines for standard whole-slide images (H&E, IHC) and high-dimensional spatial omics data.
  • Design and implement cutting-edge machine learning algorithms, including foundation models and generative architectures, for image segmentation, feature extraction, and predictive modeling.
  • Develop advanced multi-modal representation learning frameworks to harmonize disparate modalities-fusing morphological features with molecular data (transcriptomics/proteomics) to uncover spatial niches and cell-cell interactions.
  • Engineer scalable imaging data infrastructure for large-scale image storage (e.g., OME-ZARR, OME-TIFF, SpatialData) on HPC and cloud environments.
  • Embed biological priors-such as known metabolic pathways or spatial knowledge graphs-directly into the mathematical design of the AI models.
  • Collaborate closely with pathologists, wet-lab, and dry-lab researchers to interpret data, visualize results, and contribute to upstream experimental design

Who You Are
  • Ph.D in Computational Biology, Computer Science, Machine Learning, Imaging Science, Data Science, or a related highly quantitative field or a Masters Degree in these fields with 3+ years of experience may be considered.
  • Demonstrated experience in computer vision, deep learning, or image processing, specifically with tissue-based or high-dimensional imaging data.
  • Strong foundation in digital/computational pathology workflows and/or advanced machine learning (e.g., probabilistic modeling, representation learning, generative modeling).
  • Deep proficiency in Python software engineering and extensive hands-on experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow, JAX).
  • Excellent problem-solving skills with the ability to work independently as a technical lead in a multidisciplinary environment.

Preferred
  • Demonstrated experience applying machine learning to single-cell spatial transcriptomics and/or spatial proteomics analysis (e.g., 10X Genomics Xenium, Visium, Lunaphore COMET).
  • Hands-on experience with multi-modal data integration, specifically combining spatial transcriptomics, proteomics, and histology datasets.
  • Familiarity with the scverse ecosystem (e.g., Scanpy, Squidpy, SpatialData, scVI), computer vision libraries (OpenCV, scikit-image), and modern cloud infrastructure.
  • Solid understanding of tissue histology, cell biology, and tumor microenvironments to inform model architecture.
  • Experience developing agentic AI systems, LLM-driven autonomous workflows, or advanced AI-oriented tools for complex biological datasets.

Relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of South San Francisco, CA is $129,200 - $240,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#tech4lifeComputationalScience
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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