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Single Cell Spatial Transcriptomics Jobs in Sunnyside, NY

Post Doctorate Associate

New York, NY ยท On-site

$65K - $80K/yr

... transcriptomics) and familiarity with gut microbiome research are expected. Familiarity with ... Experience with single-cell approaches and longitudinal sampling designs is a plus. An interest in ...

Showing results 41-53

Single Cell Spatial Transcriptomics information

See Sunnyside, NY salary details

$13

$23

$32

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

As of Aug 13, 2026, the average hourly pay for single cell spatial transcriptomics in Sunnyside, NY is $23.30, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $29.23 per hour, depending on experience, location, and employer.

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.

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 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 cities near Sunnyside, NY are hiring for Single Cell Spatial Transcriptomics jobs?

Cities near Sunnyside, NY with the most Single Cell Spatial Transcriptomics job openings:

Infographic showing various Single Cell Spatial Transcriptomics job openings in Sunnyside, NY as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 78% Full Time, 16% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $48,462 per year, or $23.3 per hour.

Postdoctoral Fellow in Microglia Biology and Neuroimmunology of Alzheimer's Disease

Goate Laboratory

New York, NY โ€ข On-site

$53K - $72K/yr

Full-time

Re-posted 23 days ago


Job description

Availability

Immediately available, NIH funded

Description

The Alison Goate's laboratory in the Departments of Genetics and Genomic Sciences and of Neuroscience at the Icahn School of Medicine at Mount Sinai in New York City is currently looking for highly skilled and motivated molecular and cell biologists to be the drivers of our efforts to translate the human genetics of Alzheimer's disease (AD) into effective preventative and therapeutic interventions. Core areas of focus will be translating genetics and human biology observations into both in vitro (induced pluripotent stem cell models) and in vivo systems (mouse models) to understand innate immune modifiers of AD pathogenesis. In particular, the Goate lab concentrates on identifying human genetic variants associated with AD and dissecting the molecular, cellular, and tissue-level mechanisms by which these variants and the associated genes (e.g., APOE, TREM2, SPI1/PU.1, MEF2C, MS4A) modulate disease risk, with a major focus on the role of microglial cell function (e.g., phagocytic clearance of cholesterol-rich cellular debris) in the maintenance of brain tissue homeostasis during aging and in disease conditions. In addition, the Goate lab also investigates how the human genetics of the 17q21.31 MAPT/tau locus contributes to mechanisms underlying Tauopathy, and translating this work into effective preventative and therapeutic interventions. Core areas of focus will be translating genetics and human biology observations into in vitro (induced pluripotent stem cell models) models to understand the role of 17q21.31 on disease pathogenesis. The candidate will join a multidisciplinary and highly collaborative research team that includes geneticists, computational biologists, immunologists, neuroscientists, and physician-scientists at the Ronald M. Loeb Center for Alzheimer's Disease, as well as at other leading US and European academic institutions and biopharmaceutical companies.

Qualifications and Skills
  • Ph.D. in Biology, Neuroscience, Immunology, or related field with deep expertise in molecular and cellular biology techniques
  • Strong research experience in microglia/macrophage biology (preferred)
  • Strong research experience in mouse microglia/macrophage biology in vivo (preferred)
    - or -
    Strong research experience in human iPSC technology and targeted genome editing in vitro (preferred)
    - or -
    Strong research experience in high-throughput technologies (e.g., NGS and CyTOF) for bulk and single-cell transcriptomics, epigenomics, lipidomics and/or proteomics (preferred)
    - or -
    Strong research experience in functional genomics (e.g., siRNA, shRNA, CRISPR/Cas9, and chemogenomic) screens (preferred)
  • Knowledge of experimental design
  • Statistical and quantitative analysis skills
  • Basic bioinformatics skills (preferred)
  • Self-motivated and highly dedicated
  • Effective organizational and prioritization skills
  • Effective oral, written, and interpersonal communication skills
  • Ability to work both independently as well as collaboratively in a multidisciplinary environment
Strength Through Diversity

The Mount Sinai Health System believes that diversity and inclusion is a driver for excellence. We share a common devotion to delivering exceptional patient care. Yet we're as diverse as the city we call home- culturally, ethically, in outlook and lifestyle. When you join us, you become a part of Mount Sinai's unrivaled record of achievement, education and advancement as we revolutionize healthcare delivery together.

We work hard to recruit and retain the best people, and to create a welcoming, nurturing work environment where you have the opportunity and support to develop professionally. We share the belief that all employees, regardless of job title or expertise, have an impact on quality patient care.

Explore more about this opportunity and how you can help us write a new chapter in our story!

The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression.