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Single Cell Spatial Transcriptomics Jobs in Secaucus, NJ

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

To do that, we leverage high-throughput functional immunoassays with single cell proteogenomic ... analyze genomics/transcriptomics/proteomics data • Develop and implement algorithms ...

New York University

Post Doctorate Associate

New York, NY · On-site

$65K - $70K/yr

... stem cell culture, and single-cell profiling. (3) Obtain opportunities for fellowship support ... (4) Transcriptomics or Systems Biology, as exemplified by a strong publication record and ...

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Single Cell Spatial Transcriptomics information

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$12

$22

$30

How much do single cell spatial transcriptomics jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for single cell spatial transcriptomics in Secaucus, NJ is $22.01, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $27.60 per hour, depending on experience, location, and employer.

What is single cell spatial transcriptomics?

Single cell spatial transcriptomics is a cutting-edge technique that allows researchers to analyze gene expression in individual cells while preserving their spatial location within a tissue. This method combines the high-resolution insights of single-cell RNA sequencing with spatial information, enabling scientists to understand how cells interact and organize within their native environments. It is widely used in biomedical research to study tissue architecture, disease mechanisms, and cellular heterogeneity.

What are the typical challenges faced by professionals working in single cell spatial transcriptomics, and how can they be addressed?

Professionals in Single Cell Spatial Transcriptomics often encounter challenges related to handling large, complex data sets and integrating spatial information with single-cell transcriptomic profiles. These tasks demand strong computational skills and close collaboration with bioinformaticians and other researchers. Effective communication within interdisciplinary teams is essential to ensure experimental design aligns with downstream analysis needs. Staying updated with rapidly evolving technologies and best practices also helps professionals overcome technical hurdles and produce reliable, high-impact results.

What are the key skills and qualifications needed to thrive as a single cell spatial transcriptomics scientist, and why are they important?

To thrive as a Single Cell Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree (PhD or MSc) in a relevant field. Familiarity with high-throughput sequencing platforms, spatial transcriptomics technologies (like 10x Genomics Visium or NanoString GeoMx), and data analysis tools such as R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating in multidisciplinary teams. These skills and qualities are vital for generating reliable insights into cellular function and spatial organization, which drive innovative research and discovery.

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Single Cell Spatial Transcriptomics jobs near you
Infographic showing various Single Cell Spatial Transcriptomics job openings in Secaucus, NJ as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 77% Full Time, 18% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $45,772 per year, or $22 per hour.

Computational Biologist II, External Collaborations

Immunai

Manhattan, NY • On-site, Remote

$130K - $150K/yr

Full-time

Re-posted 4 hours ago

Job description

Description
About Immunai:
Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system.
We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process.
Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We're building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business.
Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
About the role:
As a Computational Biologist II at Immunai, you will be working in a fast-paced and research-driven external collaborations team to lead projects with our pharma, biotech, and academic partners. Through this position, you will have the opportunity to work with biologists, immunologists, computational biologists, machine learning specialists, and the business development team to design, execute, and disseminate data analyses leveraging single cell multi-omics for immuno-oncology and autoimmune disease research applications.
Watch the video to learn more about Immunai's culture, and how the External Collaborations team is driving the next generation of oncology and immunology discoveries.
Location: New York, NY (Hybrid model)
Reporting to: Associate Director, Computational Biology
What will you do?
  • Drive novel research by leading computational biology efforts for industry partnership projects in immuno-oncology and autoimmune diseases
  • Liaise with external and internal stakeholders to define research objectives and analysis plans
  • Execute rigorous and reproducible data analysis using state of the art statistical and ML/AI methods
  • Maintain close collaboration with a highly multidisciplinary internal team throughout the life cycle of each project to ensure successful delivery
  • Clearly communicate findings to external stakeholders in the form of presentations and data reports
  • Devise and implement new approaches to push the boundaries of Immunai's capabilities
  • Champion Immunai core values

Requirements
Required qualifications:
  • PhD (preferred in Bioinformatics/Computational Biology/Statistics) and a minimum of 2-5 years related experience post PhD (industry or postdoc).
  • 2-5 years experience in multi-omics data analysis including bulk and single-cell transcriptomics- a must
  • Expertise in current bioinformatics and computational biology tools, methods, and applications; Strong ability to develop and test data analysis code (R or Python's pandas) - a must
  • Expertise in distilling multi-faceted analyses into concrete conclusions with effective data visualizations and presentations - a must
  • Excellent verbal and written communication skills to represent Immunai to external collaborators as well as operate effectively on a diverse and collaborative internal team - a must
  • Background in ML/AI - preferred
  • Experience with AI-assisted coding (ex. cursor) - preferred
  • Background in cancer immunotherapy and/or autoimmune disease applications is a bonus

Desired personal traits:
  • You want to make an impact on humankind
  • You prioritize "We" over "I"
  • You enjoy getting things done and striving for excellence
  • You collaborate effectively with people of diverse backgrounds and cultures
  • You have a growth mindset
  • You are candid, authentic, and transparent

Compensation: This position offers a base salary typically between $130,000 - $150,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.
*Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform Spark Hire. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/

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