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Biology Computer Science Jobs in Washington, DC (NOW HIRING)

BullFrogAI

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $215K/yr

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 ...

GAP Solutions, Inc

Computer Scientist (51337)

Rockville, MD · On-site

$200K - $225K/yr

... biology. * Design software to help solve problems that arise during the development of new ... Maintain deep understanding of computer science theories and the latest trends and developments in ...

kgs

SME II Technology Capabilities Analyst

Arlington, VA

$81K - $102K/yr

... Biology, Computer Science, Information Technology, Data * Science, Robotics, Computer Architecture and Machine Learning, etc.) Preferred Skills and Experience: * Military or DoW experience. * Five ...

kgs

SME II Technology Capabilities Analyst

Arlington, VA · On-site

$81K - $102K/yr

... Biology, Computer Science, Information Technology, Data * Science, Robotics, Computer Architecture and Machine Learning, etc.) Preferred Skills and Experience: * Military or DoW experience. * Five ...

kgs

Mid-level Engineer

Arlington, VA · On-site

Bachelor's degree from an accredited college or university in an engineering or physical science discipline (e.g., engineering, chemistry, physics, biology, computer science, Information Technology ...

Koniag, Inc.

Mid-level Engineer

Arlington, VA · On-site

$130K - $160K/yr

Bachelor's degree from an accredited college or university in an engineering or physical science discipline (e.g., engineering, chemistry, physics, biology, computer science, Information Technology ...

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Biology Computer Science information

See Washington, DC salary details

$27.7K

$54.8K

$89.5K

How much do biology computer science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for biology computer science in Washington, DC is $54,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $58,900.00 per year, depending on experience, location, and employer.

What is a biology computer science?

A Biology Computer Science job integrates principles of biology and computational techniques to analyze biological data, develop bioinformatics tools, and solve complex biological problems. Professionals in this field may work in genomics, drug discovery, systems biology, or healthcare technology. They utilize programming, machine learning, and data analysis to interpret biological processes. Common roles include bioinformaticians, computational biologists, and biotech software developers. This interdisciplinary field is crucial for advancements in medicine, agriculture, and environmental science.

What are the key skills and qualifications needed to thrive in biology computer science?

To thrive in a Biology Computer Science role, you need a strong background in both biological sciences and computer science, often supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages (such as Python or R), data analysis software, and biological databases is essential, and specialized certifications in bioinformatics can be advantageous. Analytical thinking, attention to detail, and effective communication skills help professionals translate complex biological data into actionable insights. These capabilities enable success by bridging the gap between computational analysis and biological research, driving innovation in life sciences.

What types of projects do professionals in biology computer science typically work on?

Professionals in Biology Computer Science often work on projects involving the analysis of large biological datasets, such as genome sequencing, protein structure prediction, or population genetics studies. They may develop algorithms, create data visualization tools, or collaborate with laboratory researchers to interpret results. Day-to-day work often involves coding, statistical analysis, and frequent interdisciplinary meetings with biologists, bioinformaticians, and IT specialists. This collaborative environment offers opportunities to contribute to cutting-edge discoveries and continually expand technical skills, making the field both intellectually rewarding and dynamic.

What are popular job titles related to Biology Computer Science jobs in Washington, DC?

For Biology Computer Science jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Biology Computer Science jobs in Washington, DC look for?

The top searched job categories for Biology Computer Science jobs in Washington, DC are:

Biology Computer Science jobs near you
Infographic showing various Biology Computer Science job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $54,807 per year, or $26.3 per hour.

Principal Data Scientist

BullFrogAI

Gaithersburg, MD • On-site

$175K - $215K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Key responsibilities

  • Own end-to-end analytical workstreams across target discovery, patient subtyping, and multimodal data exploration

  • Design, implement, and optimize AI/ML models using healthcare data types including omics, claims, and EHR

  • Translate complex data science findings into clear, actionable insights for non-technical stakeholders and senior leadership

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.