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Physics Phd Remote Jobs in Silver Spring, MD (NOW HIRING)

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How much do physics phd remote jobs pay per year?

As of Sep 6, 2026, the average yearly pay for physics phd remote in Silver Spring, MD is $48,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $52,200.00 per year, depending on experience, location, and employer.

What is a Physics PhD remote?

A Physics PhD Remote job is a position that allows individuals with a doctorate in physics to work remotely, often in research, data analysis, consulting, or academia. These roles may involve theoretical modeling, computational physics, scientific programming, or teaching online courses. Common employers include universities, research institutions, technology companies, and government agencies. Remote physics jobs often require strong analytical skills, familiarity with programming and simulation tools, and the ability to collaborate virtually.

What are the key skills and qualifications needed to thrive in the Physics PhD remote position, and why are they important?

To thrive as a Physics PhD in a remote role, you need deep expertise in physics, strong analytical and problem-solving skills, and a doctoral degree in physics or a closely related field. Familiarity with advanced computational tools (such as MATLAB, Python, or specialized simulation software), data analysis platforms, and possibly peer-reviewed publishing systems is typically required. Excellent self-motivation, time management, and clear scientific communication abilities are important soft skills that set top candidates apart. These competencies ensure you can independently produce high-quality research and collaborate effectively in a virtual environment.

What are some common challenges of working remotely as a Physics PhD, and how can they be addressed?

One of the most common challenges in a remote Physics PhD role is maintaining effective communication and collaboration with colleagues across different time zones and locations. It's important to proactively schedule virtual meetings, use shared digital workspaces, and keep thorough documentation of your research progress. Additionally, staying motivated and managing your time independently is key, as supervision can be less direct compared to on-site roles. Many companies offer robust virtual onboarding, regular check-ins, and access to collaborative tools that help mitigate these challenges and foster a supportive remote work environment.

What are popular job titles related to Physics Phd Remote jobs in Silver Spring, MD?

For Physics Phd Remote jobs in Silver Spring, MD, the most frequently searched job titles are:

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The top searched job categories for Physics Phd Remote jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Physics Phd Remote jobs?

Cities near Silver Spring, MD with the most Physics Phd Remote job openings:

Physics Phd Remote jobs near you
Infographic showing various Physics Phd Remote job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $48,486 per year, or $23.3 per hour.

Principal Data Scientist

BullFrog AI Holdings, Inc.

Gaithersburg, MD • On-site, Remote

$175K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Job Type
Full-time
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.
Salary Description
$175,000 - $215,000 annually

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