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Remote Fashion Researcher Jobs (NOW HIRING)

We are looking for a talented Scientist- Bioinformatics R&D tojoin our team. The Bioinformatics ... High self-motivation, great ability to work in both multiple-task and independent fashions. * Good ...

Remote Support Technician Tier 3

Woburn, MA · On-site +1

$65K - $85K/yr

... fashion. * Work with required vendors to troubleshoot issues to a point of resolution when they ... Ability to conduct research into a wide range of computing issues as required. * Extensive ...

Conduct market research to identify trends, pricing benchmarks, and competitor activity ... Minimum 5+ years of experience in sales within the home textile, apparel, or fashion industry

Remote Radiologist - Breast Imaging

$327K - $409K/yr

... fashion, education, as well as other sectors. In 2008, Forbes Magazine ranked Miami "America ... The Civic Center is a major center for hospitals, research institutes, medical centers, and ...

Showing results 21-40

Remote Fashion Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do remote fashion researcher jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote fashion researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Fashion Researcher vs Remote Fashion Buyer?

AspectRemote Fashion ResearcherRemote Fashion Buyer
CredentialsFashion-related degree, research skillsFashion degree, purchasing experience
Work EnvironmentResearch labs, online sources, trend analysisOnline, retail, brand offices
Industry UsageTrend forecasting, product developmentInventory selection, vendor negotiations

While both roles operate remotely within the fashion industry, Remote Fashion Researchers focus on analyzing trends and market data, whereas Remote Fashion Buyers are responsible for selecting and purchasing products. Understanding these differences helps job seekers identify the right role based on their skills and career goals.

More about Remote Fashion Researcher jobs
What cities are hiring for Remote Fashion Researcher jobs? Cities with the most Remote Fashion Researcher job openings:
What are the most commonly searched types of Fashion Researcher jobs? The most popular types of Fashion Researcher jobs are:
What states have the most Remote Fashion Researcher jobs? States with the most job openings for Remote Fashion Researcher jobs include:
Infographic showing various Remote Fashion Researcher job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 65% Full Time, 33% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Scientist- Bioinformatics R&D -REMOTE

SEMA4

Stamford, CT • On-site, Remote

Full-time

Re-posted 3 days ago


Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
We are looking for a talented Scientist- Bioinformatics R&D tojoin our team. The Bioinformatics Scientist leads translational bioinformatics and product development for NGS pipelines as part of the R&D Bioinformatics department. This scientist is an integral part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data from reproductive health, cancer, and other diseases. As part of a development team of engineers and scientists, this scientist will translate research prototypes into production-quality, scalable pipeline products used by a variety of clinical diagnostics and research projects across many teams at Sema4. This scientist will serve as an authority in these products to other users and teams and optimize them to serve Sema4 data science needs.
RESPONSIBILITIES
  • Design, develop, and test NGS pipelines for clinical tests and research projects in oncology, reproductive health, and other indications.
  • Lead or support bioinformatics projects to translate NGS results, as well as public and internal genomic, phenotype, and clinical/EMR datasets, to features and optimizations of clinical utility.
  • Analyze and integrate heterogeneous NGS data (somatic and germline SNVs, indel variants, copy-number alterations, structural variants, gene fusions, transcript isoforms, RNA abundance, RNA editing and modification) from diverse next-generation sequencing assays (Illumina, Ion Torrent, Pacific Biosciences; targeted panels, whole-exome sequencing, whole-genome sequencing, RNA-Seq; bulk and single-cell) and microarrays.
  • Work with wet labs and clinical teams to plan and design experiments to generate such data, and analyze this data.
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs.

QUALIFICATIONS
  • PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline requiring strong computational and analytical skills supplemented with biology background
  • Hands-on experience working with NGS tools with high proficiency, especially for sequence analysis and expression analysis
  • Strong coding proficiency in R, Python, and SQL programming languages in a Linux environment.
  • Well-versed in the art of effective communication on interdisciplinary teams (scientists, programmers, and clinicians), especially graphical communication about high-complexity datasets to scientific audiences from different backgrounds.
  • High self-motivation, great ability to work in both multiple-task and independent fashions.
  • Good understanding of molecular, cell, and developmental biology, especially where relevant to cancer genomics, oncology, or endocrine neoplasms, and especially molecular cloning and NGS library preparation methodologies.
  • Developing code using distributed version control tools (especially Git) and software issue tracking/management systems (especially Jira).
  • Using or developing genome browsers or other tools for visualization of genomic datasets.