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Omics Remote Jobs in Washington (NOW HIRING)

Omics Remote information

What does an Omics Remote do?

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 skills and qualifications are needed to thrive as an Omics Remote?

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.

What are 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 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 cities in Washington are hiring for Omics Remote jobs?

Cities in Washington with the most Omics Remote job openings:

Infographic showing various Omics Remote job openings in Washington as of August 2026, with employment types broken down into 61% Full Time, 36% Part Time, and 3% Contract. Highlights an 50% Physical, 1% Hybrid, and 49% Remote job distribution.

Principal Data Scientist

BULLFROG AI MANAGEMENT LLC

Gaithersburg, MD • On-site, Remote

$175K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Description

About BullFrog AI

BullFrog AI (NASDAQ: BFRG) is a computational biology company spun out of the Johns Hopkins Applied Physics Laboratory. We sit at the intersection of AI and drug discovery, building platforms that help pharmaceutical and biotech companies make better, faster decisions across the drug development lifecycle:

  • bfPREP - biology-aware data harmonization that unlocks the value trapped in fragmented, multi-site clinical and omics datasets
  • bfLEAP - causal AI analytics for patient subgroup discovery, biomarker identification, and drug target prioritization
  • bfARENAS - structured multi-criteria decision support for high-stakes portfolio, indication, and go/no-go decisions


The Role

Help turn complex biomedical and clinical data into defensible decisions for drug discovery and development.


BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in biomedical analytics. This is a senior individual contributor role that combines client-facing project leadership with direct contributions to BullFrog's in-house platform - spanning target discovery, patient subtyping, and multimodal data analysis.


Day-to-day work is client-dependent, with each engagement bringing a different analytical challenge. You will be expected to lead from execution and bring scientific rigor, technical depth, and clear communication to every project.



What You'll Do


Client Engagement & Project Leadership

  • Own end-to-end analytical workstreams across target discovery, patient subtyping, and multimodal data exploration
  • Translate complex data science findings into clear, actionable insights for non-technical stakeholders and senior leadership
  • Collaborate effectively with distributed, remote teams to ensure seamless communication and on-time delivery


Technical Delivery

  • Design, implement, and optimize AI/ML models using diverse healthcare data types, including omics, claims, and EHR
  • Conduct multi-omic analyses such as RNA-seq differential expression, clustering, genomic association analysis, and biomarker discovery
  • Implement NLP and LLM solutions tailored to life sciences datasets
  • Contribute to the development and refinement of BullFrog's in-house platform capabilities

Requirements

What We're Looking For


Education

Advanced degree (MS or PhD) in a quantitative field - biology, computer science, engineering, or related


Experience

5+ years of post-graduate experience in life sciences analytics in pharma, biotech, or consulting

Demonstrated proficiency in Python; production-quality code in a research or commercial environment

Hands-on experience with major healthcare data types - omics data required; claims and EHR experience strongly preferred

Hands-on experience applying LLMs or NLP to real analytical workflows, ideally biomedical or clinical text extraction, summarization, evaluation, or retrieval

Proven track record of collaborating effectively with remote teams

Must be legally authorized to work in the United States


Desired Skills

Prior experience in multi-modal analysis with deep learning

Causal inference experience - a significant differentiator for this role

NLP/LLM expertise applied to life sciences and healthcare text

Strong foundation in data engineering and databases

Experience with graph-based approaches: feature engineering, ML, and visualization

Cloud platform experience, particularly AWS or Google Cloud


Who Will Thrive Here

Intellectually versatile - energized by moving across problem types, data modalities, and scientific domains

Client-ready - comfortable presenting to and partnering with senior scientific and business stakeholders

Independently driven - able to scope, execute, and deliver complex analyses without heavy oversight

Scientifically rigorous - you hold your work to a publication-quality standard even in a commercial environment

Collaborative by default - remote-first is second nature; you communicate proactively and close loops


What We Offer

Base salary range: $175,000 - $210,000 per year, based on level of education, years of relevant experience, skills, and location. This role is eligible for performance bonus and equity/stock options, subject to company and plan terms. Benefits include medical, dental, and vision from day one, short-term disability, 401(k) from first paycheck, 15 days PTO, 11 paid holidays annually, and maternity and paternity leave. 
BullFrog AI is an equal opportunity employer. We are committed to building a diverse team that reflects the communities and patients our work ultimately serves. 
Advancing medicine through artificial intelligence.