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Remote Applied Biology Jobs (NOW HIRING)

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.). * Build new ...

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.). * Build new ...

ATCC

Licensing Manager

Gaithersburg, MD · Remote

$100K - $120K/yr

... biological materials for science and health, is seeking a remote Licensing Manager with deep ... applied research environments. The position requires strong scientific and business acumen to ...

ATCC

Licensing Manager

Gaithersburg, MD · On-site +1

$100K - $120K/yr

... biological materials for science and health, is seeking a remote Licensing Manager with deep ... applied research environments. The position requires strong scientific and business acumen to ...

The Pennsylvania State University

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The position requires a PhD in chemistry with a focus on spectroscopy applied to biomolecules, or ...

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Remote Applied Biology information

What are the key skills and qualifications needed to thrive as a Remote Applied Biologist, and why are they important?

To thrive as a Remote Applied Biologist, you need a solid background in biological sciences, data analysis, and research methodologies, typically supported by a relevant degree such as biology, biotechnology, or environmental science. Proficiency with statistical software (like R or Python), laboratory information management systems (LIMS), and virtual collaboration tools is often required. Strong problem-solving abilities, self-motivation, and clear written communication are critical soft skills for remote work environments. These skills and qualities enable effective research, accurate data interpretation, and successful collaboration on virtual scientific teams.

How do remote applied biology professionals effectively collaborate with laboratory-based teams?

Remote applied biology professionals typically collaborate with lab-based teams through regular virtual meetings, shared digital platforms for data analysis, and clear communication protocols. They are often responsible for tasks such as data interpretation, literature review, and computational modeling, which complement laboratory work. To ensure seamless collaboration, remote biologists use cloud-based tools and maintain consistent updates with lab colleagues, bridging the gap between experimental results and applied research. Building strong communication skills and being proactive in seeking feedback are key to thriving in this collaborative environment.

What is a Remote Applied Biologist?

A Remote Applied Biologist is a professional who studies living organisms and applies biological principles to solve real-world problems, often working from a remote location rather than on-site in a lab or field. Their work may involve data analysis, research, and collaboration with other scientists remotely using digital tools. This role is common in areas such as environmental consulting, healthcare technology, and biotechnology, where much of the analysis and reporting can be done online. Remote Applied Biologists may also contribute to research papers, manage datasets, and participate in virtual meetings with teams across the globe.
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What cities are hiring for Remote Applied Biology jobs? Cities with the most Remote Applied Biology job openings:
What are the most commonly searched types of Applied Biology jobs? The most popular types of Applied Biology jobs are:
What states have the most Remote Applied Biology jobs? States with the most job openings for Remote Applied Biology jobs include:
What job categories do people searching Remote Applied Biology jobs look for? The top searched job categories for Remote Applied Biology jobs are:
Remote Applied Biology jobs near you
Infographic showing various Remote Applied Biology job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution.

Principal Data Scientist

BULLFROG AI MANAGEMENT LLC

Gaithersburg, MD • On-site, Remote

$175K - $215K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 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.

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