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Biomedical Data Analyst Remote Jobs in Maryland (NOW HIRING)

Experience: 3 years experience in functional, operational, business, data, systems or testing analysis. Preferred Qualifications : * Demonstrated ability to deliver high quality, effective ...

Experience: 3 years experience in functional, operational, business, data, systems or testing analysis. Preferred Qualifications: * Demonstrated ability to deliver high quality, effective ...

Experience: 3 years experience in functional, operational, business, data, systems or testing analysis. Preferred Qualifications: * Demonstrated ability to deliver high quality, effective ...

$88K - $114K/yr

Leads Data Analysis : market, financial, operations, organizational data analysis and synthesizes large volumes of data to identify trends, derive insights, validate hypothesis and inform decisions

... Clarity data models, Clarity ETL, Caboodle) Senior Consultant A Senior Consultantprovides ... Analyze and document workflows. * Work closely with project leadership, including documentation and ...

... Clarity data models, Clarity ETL, Caboodle) Senior Consultant A Senior Consultantprovides ... Analyze and document workflows. * Work closely with project leadership, including documentation and ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Showing results 21-40

Biomedical Data Analyst Remote information

What does a biomedical data analyst do in a remote position?

A Biomedical Data Analyst working remotely is responsible for collecting, processing, and interpreting complex biological and healthcare data. Their primary tasks include analyzing datasets from clinical trials, genomic studies, or electronic health records to uncover trends and support medical research. They use statistical tools and programming languages, often collaborating virtually with researchers and clinicians. Their insights help improve patient outcomes, develop new treatments, and advance scientific understanding. Remote roles allow analysts to contribute to projects from anywhere while utilizing secure technology to handle sensitive health data.

What are the key skills and qualifications needed to thrive as a biomedical data analyst in a remote setting?

To thrive as a Biomedical Data Analyst (Remote), you need a solid background in biostatistics, data science, and life sciences, often supported by a relevant degree such as bioinformatics or computational biology. Familiarity with programming languages (like Python or R), statistical software, and data visualization tools, as well as experience with databases and cloud-based collaboration platforms, is typically required. Strong analytical thinking, attention to detail, and effective virtual communication skills are vital for collaborating with multidisciplinary teams remotely. These skills ensure accurate analysis, meaningful insights, and successful project outcomes in a distributed work environment.

What are some common challenges faced by remote biomedical data analysts, and how can they be addressed?

Remote Biomedical Data Analysts often face challenges such as ensuring secure access to sensitive health data, maintaining effective communication with cross-functional teams, and managing time zone differences. To address these, it's important to use secure VPNs and follow data privacy protocols, utilize collaborative tools like Slack or Teams for regular updates, and establish clear working hours and expectations. Proactively scheduling check-ins and participating in virtual team meetings can help maintain strong collaboration and project alignment.

What are the most commonly searched types of Biomedical Data Analyst jobs in Maryland?

The most popular types of Biomedical Data Analyst jobs in Maryland are:

What job categories do people searching Biomedical Data Analyst Remote jobs in Maryland look for?

The top searched job categories for Biomedical Data Analyst Remote jobs in Maryland are:

What cities in Maryland are hiring for Biomedical Data Analyst Remote jobs?

Cities in Maryland with the most Biomedical Data Analyst Remote job openings:

Infographic showing various Biomedical Data Analyst Remote job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

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 25 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