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Remote Biomedical Engineering Co Op Jobs in Washington

Senior Production Underwriter

Washington, DC · Remote

$111K - $131K/yr

... co-op, rental properties and fine dining restaurants. We are a team of seasoned underwriting and ... This role can be located in OH, IL, or MD/DC on a remote basis. The Senior Production Underwriter ...

... co-op, rental properties and fine dining restaurants. We are a team of seasoned underwriting and ... This role can be located in OH, IL, or MD/DC on a remote basis. The Senior Production Underwriter ...

This is a full-time position located at the NIH campus in Bethesda, MD and/or remote. The National ... NCBI is the world's premier biomedical center hosting over six million daily users that seek ...

Engineering Team Leader

Bethesda, MD · On-site +1

$109K - $144K/yr

There is the possibility of 1 day/week as remote work. This position functions as a Technical ... edge biomedical research. The Technical Program Manager works closely with a Program Head to ...

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... Learn, and maintain, knowledge of compliance and co-op requirements for all manufacturers * Support ...

Platform Ops Lead

Bethesda, MD · On-site +1

$56.50 - $77.25/hr

The Systems & DevOps team is responsible for the efficient operation of infrastructure to run NCBI ... NCBI offers flexible working hours, remote options, on- and off-site training courses, and ...

Must be flexible to work remote or in the office on any given day and reside within a commutable ... Preferred Procurement or related internship/co-op experience. Additional Requirements : * You ...

Must be flexible to work remote or in the office on any given day and reside within a commutable ... Preferred Procurement or related internship/co-op experience. Additional Requirements: * You should ...

Showing results 41-60

Remote Biomedical Engineering Co Op information

What is the difference between Remote Biomedical Engineering Co Op vs Biomedical Equipment Technician?

AspectRemote Biomedical Engineering Co OpBiomedical Equipment Technician
CredentialsTypically pursuing or holding a degree in biomedical engineering or related fieldUsually requires certification such as CBET or associate degree in biomedical technology
Work EnvironmentPrimarily remote, involving design, research, and collaboration tasksOn-site, focusing on maintenance, repair, and installation of medical equipment
Employer & Industry UsageUsed by hospitals, biotech firms, and research institutions for internships and entry-level rolesCommonly employed by hospitals, clinics, and medical device companies for technical support

The main difference is that Remote Biomedical Engineering Co Op roles are typically remote internships or entry-level positions focused on engineering design and research, while Biomedical Equipment Technicians work on-site maintaining and repairing medical devices. The co-op offers a more research-oriented experience, whereas technicians focus on hands-on technical support.

What are popular job titles related to Remote Biomedical Engineering Co Op jobs in Washington?

For Remote Biomedical Engineering Co Op jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Remote Biomedical Engineering Co Op jobs?

Cities in Washington with the most Remote Biomedical Engineering Co Op job openings:

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 24 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.