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Remote Genomics Jobs in Trumbull, CT (NOW HIRING)

CooperCompanies

Data Engineer Lead- PMS & QA

Trumbull, CT · On-site +1

$160K/yr

... genomic testing solutions. Learn more at www.coopersurgical.com. Work location: Trumbull, CT (on-site), Livingston, NJ (on-site) or Remote in US (if not residing in NY-metro area) Scope: The Data ...

Cohen Veterans Network

Research Associate

Stamford, CT · Remote

Research Associate Experience 5-7 years (including doctoral training) Location Remote Area Institute for Quality Business Cohen Veterans Network, Inc. Status Full Time - Exempt/Permanent Job Grade 5 ...

All JobsGenomics JobsRemote Genomics JobsRemote Genomics Jobs in Trumbull, CT

Remote Genomics information

What is a remote genomics?

A Remote Genomics job involves analyzing genetic data, conducting bioinformatics research, and interpreting genomic insights while working from a remote location. Professionals in this field use computational tools to study DNA, identify genetic variations, and apply findings to healthcare, agriculture, or biotechnology. Roles may include bioinformaticians, geneticists, or data scientists collaborating with research institutions, healthcare organizations, or biotech companies. Strong skills in programming, data analysis, and genetics are essential. Remote work allows flexibility but requires self-discipline and effective communication with teams.

What skills and qualifications are needed for remote genomics?

Succeeding in Remote Genomics requires a solid background in genetics, molecular biology, bioinformatics, or a related field, often supported by a relevant degree or research experience. Familiarity with industry-standard tools like Python/R for data analysis, genome sequencing platforms (e.g., Illumina), and experience with cloud-based collaboration systems is typical. Strong organizational skills, attention to detail, and clear remote communication are crucial soft skills for managing complex data and working across distributed teams. These qualifications ensure accuracy in genomic research, effective collaboration, and successful project delivery in a remote work environment.

What are common challenges in remote genomics?

Professionals in Remote Genomics roles often encounter challenges related to managing large datasets securely, ensuring seamless communication across dispersed teams, and keeping up with rapidly evolving analytical tools. Working remotely requires strong self-discipline and proactive collaboration through digital platforms to ensure project milestones are met. Additionally, handling sensitive genomic data means adhering to strict data privacy and compliance standards. However, many organizations offer robust onboarding, regular virtual meetings, and access to technical support to help overcome these challenges.

Is remote genomics a good career?

Remote genomics is a growing field that involves analyzing genetic data outside of traditional laboratory settings, often requiring skills in bioinformatics, programming, and understanding of genomics tools. It offers flexibility and opportunities in research, healthcare, and biotech industries, with demand increasing as personalized medicine advances. Success in this career typically requires relevant education, certifications, and proficiency with genomic analysis software.

What jobs can you get with a remote genomics degree?

A remote genomics degree can qualify you for roles such as genomic data analyst, bioinformatics specialist, research scientist, or laboratory technician. These positions often require skills in data analysis, programming, and familiarity with genomic tools and databases, and may involve working independently or collaborating with research teams remotely.

What are popular job titles related to Remote Genomics jobs in Trumbull, CT?

For Remote Genomics jobs in Trumbull, CT, the most frequently searched job titles are:

What job categories do people searching Remote Genomics jobs in Trumbull, CT look for?

The top searched job categories for Remote Genomics jobs in Trumbull, CT are:

What cities near Trumbull, CT are hiring for Remote Genomics jobs?

Cities near Trumbull, CT with the most Remote Genomics job openings:

Remote Genomics jobs near you
Infographic showing various Remote Genomics job openings in Trumbull, CT as of August 2026, with employment types broken down into 52% Full Time, and 48% Part Time. Highlights an 100% Remote job distribution.

Scientist- Bioinformatics R&D -REMOTE

SEMA4

Stamford, CT • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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.

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