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Biotech Data Science Remote Jobs in Frederick, MD

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

... data science, or similar role within a complex business environment. * Experience with DevOps tools / modern cloud stack and practices Physical Requirements * Onsite or remote: 60% onsite * Vision:

ATCC

Product Manager

Gaithersburg, MD · On-site +1

$115K - $130K/yr

... for science and health, ATCC is hiring a remote Product Manager, Microbiology portfolio . This ... Gather and analyze voice-of-the-market data, win/loss insights, and market research to support ...

ATCC

Product Manager

Gaithersburg, MD · Remote

$115K - $130K/yr

... for science and health, ATCC is hiring a remote Product Manager, Microbiology portfolio . This ... Gather and analyze voice-of-the-market data, win/loss insights, and market research to support ...

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

$140K/yr

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Key Qualifications: * 5+ years of experience in AI/ML, Data Science, or Data Engineering * 3+ years ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Key Qualifications: * 5+ years of experience in AI/ML, Data Science, or Data Engineering * 3+ years ...

MSD

Director, Scientific Affairs

Rockville, MD · On-site +1

$174K - $272K/yr

Minimum of 10 years of experience in pharma or biotech, leading drug development projects KNOWLEDGE ... This position is performed in a remote/home office environment, when on travel the environment can ...

MSD

Director, Scientific Affairs

Rockville, MD · On-site +1

$174K - $272K/yr

Minimum of 10 years of experience in pharma or biotech, leading drug development projects KNOWLEDGE ... This position is performed in a remote/home office environment, when on travel the environment can ...

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Biotech Data Science Remote information

See Frederick, MD salary details

$41.3K

$141.6K

$199.8K

How much do biotech data science remote jobs pay per year?

As of Sep 4, 2026, the average yearly pay for biotech data science remote in Frederick, MD is $141,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $165,500.00 per year, depending on experience, location, and employer.

What is a remote biotech data scientist?

A remote biotech data scientist is a professional who applies data analysis, machine learning, and statistical methods to biological and biomedical data while working from a location outside of a traditional office. They help interpret complex datasets from experiments, clinical trials, or genomics to aid in research, drug development, and healthcare innovation. Their work involves programming, data visualization, and collaborating with cross-functional teams, all done virtually. Remote biotech data scientists typically use tools like Python, R, and specialized bioinformatics software to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a biotech data scientist in a remote role?

To thrive as a Biotech Data Scientist in a remote role, you need a strong background in biology or biotechnology, advanced data analysis skills, and proficiency in programming languages like Python or R, often supported by a relevant degree. Familiarity with bioinformatics tools, machine learning frameworks, and cloud-based collaboration platforms is typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for effective remote teamwork and project delivery. These competencies ensure accurate data-driven insights, seamless remote collaboration, and impactful contributions to biotech research and innovation.

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

Remote biotech data scientists often encounter challenges related to cross-disciplinary collaboration and data accessibility, as projects frequently require input from wet lab scientists, clinicians, and IT specialists. Effective communication tools, regular virtual meetings, and clear project management protocols can help bridge these gaps. Additionally, ensuring secure and reliable access to large and sensitive datasets is essential, so familiarity with cloud platforms and data governance best practices is beneficial for success in this role.

What are popular job titles related to Biotech Data Science Remote jobs in Frederick, MD?

For Biotech Data Science Remote jobs in Frederick, MD, the most frequently searched job titles are:

What job categories do people searching Biotech Data Science Remote jobs in Frederick, MD look for?

The top searched job categories for Biotech Data Science Remote jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Biotech Data Science Remote jobs?

Cities near Frederick, MD with the most Biotech Data Science Remote job openings:

Biotech Data Science Remote jobs near you
Infographic showing various Biotech Data Science Remote job openings in Frederick, MD as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $141,644 per year, or $68.1 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 26 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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