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Omics Remote Jobs (NOW HIRING)

Ionis

Director, Computational Biology

Carlsbad, CA · On-site +1

We continue to invest time, money and energy into making our onsite, hybrid and remote work ... We are seeking an exceptional computational biologist to lead target identification and multi-omics ...

Allen Institute

Bioinformatics Analyst III

Seattle, WA · On-site +1

$105K - $130K/yr

Analyze multi-omics data from neuroimmunology projects, including but not limited to: spatial ... remote work must be performed in Washington State Travel * Occasional travel may be required

The Pennsylvania State University

$16/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The research project the successful applicant will be leveraging both epidemiological and omics to ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... and uncertainty quantification) for multi-omics and related data types. * Build ...

The Pennsylvania State University

... omics data. This position is full time, on-site at the Penn State University Park campus. This position does not permit remote work. This is a term appointment funded for one year from the date of ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... omics integration, biological data harmonization, systems-level analysis, or related areas that ...

HistoWiz, Inc

Senior Sales Executive

Boston, MA · Remote

$100K - $120K/yr

This is a remote, field-based role covering Boston and the broader New England territory. The right ... multi-omics tissue analysis, quantitative image analysis, and pathology consultations. Strong ...

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Omics Remote information

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How much do omics remote jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for omics remote in the United States is $25.17, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $25.24 per hour, depending on experience, location, and employer.

What is the difference between Omics Remote vs Bioinformatics Technician?

AspectOmics RemoteBioinformatics Technician
Required CredentialsBachelor's degree in biology, genetics, or related field; experience with omics dataBachelor's degree in bioinformatics, biology, or related field; familiarity with bioinformatics tools
Work EnvironmentRemote, often project-based or freelanceLaboratory or office setting, sometimes remote for data analysis tasks
Employer & Industry UsageResearch institutions, biotech companies, remote research projectsResearch labs, biotech firms, healthcare organizations

Omics Remote and Bioinformatics Technicians both work with biological data, but Omics Remote typically involves remote, project-based roles focusing on omics data analysis, while Bioinformatics Technicians often work in lab or office settings with a focus on bioinformatics tools and data management.

What does an Omics Remote job involve?

An Omics Remote job typically involves analyzing and interpreting large-scale biological data sets such as genomics, proteomics, or metabolomics from a remote location. Professionals in this field use specialized bioinformatics tools and computational methods to extract meaningful insights from complex biological data. These roles often require collaboration with researchers, data scientists, and healthcare professionals, and may involve tasks like data processing, quality control, and scientific reporting. Working remotely in omics offers flexibility and the opportunity to contribute to cutting-edge research from anywhere in the world.

What are some common challenges faced by professionals working remotely in omics roles, and how can they be addressed?

Working remotely in omics roles often involves managing large datasets, collaborating with interdisciplinary teams, and maintaining effective communication across different time zones. Challenges can include ensuring secure data sharing, overcoming potential feelings of isolation, and staying updated with rapidly evolving technologies. To address these, professionals should leverage collaborative tools for project management, schedule regular video meetings to foster team cohesion, and participate in online training or professional networks to stay connected to industry advancements.

What are the key skills and qualifications needed to thrive as an Omics Remote Specialist, and why are they important?

To thrive as an Omics Remote Specialist, you need expertise in genomics, transcriptomics, or proteomics, typically supported by an advanced degree in a life science field. Familiarity with bioinformatics tools, data analysis platforms like R or Python, and experience with omics databases are essential. Strong analytical thinking, attention to detail, and effective remote communication skills help distinguish top performers. These abilities are crucial for accurate data interpretation, collaboration across distributed teams, and driving impactful research outcomes.
More about Omics Remote jobs
What cities are hiring for Omics Remote jobs? Cities with the most Omics Remote 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 Remote jobs? States with the most job openings for Omics Remote jobs include:
What job categories do people searching Omics Remote jobs look for? The top searched job categories for Omics Remote jobs are:
Omics Remote jobs near you
Infographic showing various Omics Remote job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $52,360 per year, or $25.2 per hour.
AI Data Engineer - Scientific Data Platforms (Remote)

AI Data Engineer - Scientific Data Platforms (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $38/hr

Full-time

Posted 17 days ago

Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is a leading global biotechnology and pharmaceutical organization driven by a mission to innovate, continuously advance science, and ensure everyone has access to the healthcare they need.
Title: AI Data Engineer - Scientific Data Platforms
Location: Remote, Must work PST
Pay rate: $35-38/hr (Depends on experience level)
Schedule: Full-time (40 hours/week)
Duration: 1-year contract, (Plus benefits)
Position Overview
This role addresses a critical need in scaling our AI models for drug discovery by building largely automated, scalable, agent-driven data ingestion and curation pipelines for genomics data. This includes metadata inference, constructing performant query architectures, and transforming high-dimensional datasets (e.g., single-cell omics, clinical trials) into AI-ready training formats.
Key Responsibilities
  • Build an agentic data ingestion pipeline and move beyond bespoke steps toward agents that teams can reliably use as a shared, deployed service.
  • Triage and prioritize incoming requests to ingest specific datasets. Clean and organize data, building the first-pass cleaning and organization steps into the agentic flow.
  • Validate cross-modal linkage. Add automated checks that catch when ingested data does not connect correctly and flag low-quality or mismatched records.
  • Version every dataset, retaining and making prior versions addressable. Preserve raw data and provenance, ensuring agent workflows log validation and transformation steps so lineage is fully traceable.
  • Partner with AI, software engineering, and computational biology groups to co-define data standards and conventions.

Qualifications & Requirements
  • Demonstrated experience building multi-agent workflows or LLM workflows using tools/frameworks such as LangGraph or LlamaIndex, including tool/function calling and asynchronous task execution.
  • Strong Python skills for data manipulation, working with APIs and databases, and handling heterogeneous data formats.
  • Familiarity with dataset versioning approaches (e.g., DVC, lakeFS, or equivalent).
  • Comfortable with or showing a strong willingness to learn common omics data formats like AnnData, H5AD, and TileDB.
  • No deep bioinformatics expertise required; just a basic conceptual understanding of different modalities (e.g., RNA-seq vs. scRNA-seq vs. WES; genomics vs. transcriptomics vs. proteomics vs. metabolomics).
  • Comfortable writing unit and functional tests to ensure data processing workflows are reliable and reproducible.
  • Degree in a technical field or equivalent practical experience.
  • Must be Authorized to work in the United States without Sponsorship.
Nice to Have
  • Experience deploying agent workflows as a shared service (e.g., FastAPI or MCP endpoints).
  • Exposure to cloud platforms (AWS, GCP) and containerization (Docker).
  • Familiarity with scientific workflow managers such as Nextflow or Snakemake.

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