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Remote Data Jobs in Frederick, MD (NOW HIRING)

Emmes

Data Manager

Rockville, MD · On-site +1

Overview Clinical Data Manager - Temp to Hire US - Remote Note for Applicants: This position will begin as a full-time temporary assignment scheduled for 40 hours per week. The assignment is ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

Viasat, Inc.

Data Engineer

Germantown, MD · On-site +1

$174K - $261K/yr

What you'll do As a member of our Data Platform team, you'll help build infrastructure and tools for collecting and processing data in streaming and batch pipelines. Your work will power access to ...

VIS IT Solutions Inc

MongoDB Analyst

Dulles, VA · Remote

Remote We are seeking a skilled MongoDB Analyst to manage, analyze, and optimize large-scale NoSQL databases. The ideal candidate will be responsible for designing data models, ensuring data ...

Promoted2

Remote Insurance Agent

Hagerstown, MD · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

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Remote Data information

See Frederick, MD salary details

$45.7K

$164.1K

$242.1K

How much do remote data jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote data in Frederick, MD is $164,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $169,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Frederick, MD? The most popular types of Data jobs in Frederick, MD are:
What are popular job titles related to Remote Data jobs in Frederick, MD? For Remote Data jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Frederick, MD look for? The top searched job categories for Remote Data jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Remote Data jobs? Cities near Frederick, MD with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Frederick, MD as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $164,072 per year, or $78.9 per hour.

Principal Data Scientist

BULLFROG AI MANAGEMENT LLC

Gaithersburg, MD • On-site, Remote

$175K - $215K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 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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