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Applied Biotech Jobs in Washington (NOW HIRING)

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $215K/yr

... 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 ...

Lead Photonics Engineer

Ashburn, VA · On-site

$150K - $170K/yr

... fuses biotechnology, nanotechnology, and AI to tackle global challenges in climate, medicine, and ... Required Qualifications • MS or PhD in Applied Physics, Electrical Engineering, Materials Science ...

Lead Microsystems Engineer

Ashburn, VA · On-site

$150K - $170K/yr

... fuses biotechnology, nanotechnology, and AI to tackle global challenges in climate, medicine, and ... Required Qualifications • MS or PhD in Electrical Engineering, Applied Physics, Mechanical ...

Showing results 21-40

Applied Biotech information

See Washington salary details

$13

$28

$43

How much do applied biotech jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for applied biotech in Washington is $28.84, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $35.14 per hour, depending on experience, location, and employer.

What are applied biotech jobs?

Applied biotech jobs involve using biological processes and organisms to solve real-world problems in industries such as healthcare, agriculture, and environmental science. Professionals in this field may work on developing new medicines, improving crop yields, or creating sustainable materials. These roles often require knowledge of genetics, molecular biology, and bioengineering, as well as laboratory and analytical skills. Applied biotech careers can be found in research labs, pharmaceutical companies, and biotech startups.

What are the key skills and qualifications needed to thrive as an applied biotechnologist?

To thrive as an Applied Biotechnologist, you need a strong background in biology, chemistry, and molecular techniques, often supported by a bachelor's or master's degree in biotechnology or a related field. Familiarity with laboratory instruments, PCR, chromatography, and bioinformatics tools, as well as certifications like GLP or GMP, is highly valuable. Attention to detail, analytical thinking, and effective teamwork are crucial soft skills in this role. These competencies enable accurate experimentation, data interpretation, and innovation, which are vital for advancing biotechnological solutions and ensuring regulatory compliance.

What are some common challenges faced by professionals working in applied biotechnology roles?

Professionals in applied biotechnology often encounter challenges such as adapting to rapidly evolving technologies, maintaining regulatory compliance, and effectively collaborating with interdisciplinary teams. The work can involve troubleshooting experimental protocols, meeting tight project deadlines, and ensuring product quality and safety standards are met. Additionally, staying current with industry advancements and integrating new scientific findings into practical applications is essential for ongoing success in the field.

What is the difference between Applied Biotech vs Laboratory Technician?

AspectApplied BiotechLaboratory Technician
CredentialsBachelor's in Biotechnology, Life Sciences, or related fieldsAssociate's or Bachelor's in Laboratory Technology or related fields
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsClinical, research, or industrial laboratories
Industry UsageBiotech, pharmaceutical, research institutionsHealthcare, research, manufacturing
Job FocusResearch, product development, experimental analysisSample testing, data recording, equipment operation

Applied Biotech professionals typically engage in research and development activities within biotech and pharmaceutical companies, requiring a strong background in biotechnology. Laboratory Technicians focus on conducting tests, maintaining lab equipment, and supporting research or clinical work. While both roles work in laboratory settings, Applied Biotech roles are more research-oriented, whereas Laboratory Technicians handle routine testing and sample processing.

What can you do with an applied biotech degree?

An applied biotech degree prepares individuals for roles in research, development, and manufacturing within the biotechnology and pharmaceutical industries. Graduates can work as lab technicians, quality control analysts, research scientists, or regulatory affairs specialists, often using laboratory skills, data analysis, and knowledge of biotech tools. The degree may also lead to careers in healthcare, agriculture, or environmental sectors, sometimes requiring certifications or advanced training.

What are popular job titles related to Applied Biotech jobs in Washington?

For Applied Biotech jobs in Washington, the most frequently searched job titles are:

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 15 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.