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Remote Biotechnology Graduate Jobs in Washington, DC

IQVIA

Clinical Trial Psych Rater

Fairfax, VA · Remote

$62K - $156K/yr

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... We partner with the world's leading pharmaceutical, biotechnology, and medical device companies to ...

All JobsBiotechnology Graduate JobsRemote Biotechnology Graduate JobsRemote Biotechnology Graduate Jobs in Washington, DC

Remote Biotechnology Graduate information

See Washington, DC salary details

$5

$26

$38

How much do remote biotechnology graduate jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote biotechnology graduate in Washington, DC is $26.08, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $26.68 per hour, depending on experience, location, and employer.

What is a remote biotechnology graduate?

Remote biotechnology graduate jobs are entry-level positions or internships in the biotechnology field that allow recent graduates to work from home or another remote location. These roles may involve tasks such as data analysis, research support, report writing, or assisting with experiments virtually. They provide an opportunity for new graduates to gain industry experience, develop their skills, and contribute to biotech projects without being physically present in a lab or office. The availability of remote roles in biotechnology has increased due to advances in digital technology and the need for flexible work options.

What are the key skills and qualifications needed to thrive as a remote biotechnology graduate?

To thrive as a Remote Biotechnology Graduate, you need a solid background in molecular biology, data analysis, and laboratory techniques, typically backed by a relevant degree in biotechnology or a related field. Familiarity with bioinformatics tools, virtual lab simulation software, and platforms like Python or R for data analysis is often required. Strong self-motivation, effective written communication, and the ability to collaborate virtually are essential soft skills for remote work. These skills and qualities are crucial to ensure productivity, accuracy, and impactful contributions to research and development projects in a remote setting.

What are some common challenges faced by remote biotechnology graduates in their first role, and how can they be addressed?

Remote biotechnology graduates often encounter challenges such as limited hands-on laboratory access, communication barriers with team members, and adapting to virtual collaboration tools. To overcome these hurdles, it's important to proactively seek virtual lab simulations or remote-access lab opportunities, participate actively in team meetings, and leverage digital platforms for project management and data sharing. Building strong communication habits and regularly engaging with mentors or colleagues can also help bridge gaps and foster professional growth, even in a remote setting.

What is the difference between Remote Biotechnology Graduate vs Remote Laboratory Technician?

AspectRemote Biotechnology GraduateRemote Laboratory Technician
Required CredentialsBachelor's in Biotechnology or related fieldAssociate's or Bachelor's in Laboratory Science or related field
Work EnvironmentPrimarily data analysis, research, report writing, and project coordinationSample processing, equipment handling, and experimental setup (may be limited remotely)
Employer & Industry UsageBiotech firms, research institutions, pharmaceutical companiesLaboratories, research centers, biotech companies
Common Search & ComparisonYesYes

The Remote Biotechnology Graduate typically focuses on research, data analysis, and project management within biotech and pharma industries, often working remotely on planning and reporting. In contrast, the Remote Laboratory Technician usually handles sample processing and experimental tasks, which may be limited remotely. Both roles are essential in biotech, but they differ mainly in responsibilities and required credentials.

What are popular job titles related to Remote Biotechnology Graduate jobs in Washington, DC?

For Remote Biotechnology Graduate jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Biotechnology Graduate jobs in Washington, DC look for?

The top searched job categories for Remote Biotechnology Graduate jobs in Washington, DC are:

Remote Biotechnology Graduate jobs near you
Infographic showing various Remote Biotechnology Graduate job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $54,249 per year, or $26.1 per hour.

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 18 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.

Apply