ZipRecruiter

Log In

1

Flex Biotech Data Science Jobs in Washington (NOW HIRING)

Nalley Consulting

Data Scientist - Sr

Washington, DC · On-site

... with major data science languages, such as Python and R * 3+ years of experience retrieving ... Flex time * Company-paid short-term disability, long-term disability, and life insurance.

BullFrogAI

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $215K/yr

Translate complex data science findings into clear, actionable insights for non-technical ... biotech, or consulting * Demonstrated proficiency in Python; production-quality code in a research ...

Nalley Consulting

Data Scientist - Sr

Washington, DC · On-site

... with major data science languages, such as Python and R * 3+ years of experience retrieving ... Flex time * Company-paid short-term disability, long-term disability, and life insurance. Powered ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

If you are passionate about the chance to put your Data Science skills to practice in support of ... Flex My Way is a set of supportive workplace policies designed to help manage personal and ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

If you are passionate about the chance to put your Data Science skills to practice in support of ... Flex My Way is a set of supportive workplace policies designed to help manage personal and ...

Eastport Analytics, Inc.

Data Scientist

Washington, DC · On-site

$103K - $120K/yr

Two+ years in a data science role; experience in federal financial regulatory environments (e.g ... flex time, employer funded health reimbursement account (HRA) to cover deductibles for health ...

previous pagenext page

Showing results 21-40

All JobsBiotech Data Science JobsFlex Biotech Data Science JobsFlex Biotech Data Science Jobs in Washington

Flex Biotech Data Science information

What are the key skills and qualifications needed to thrive as a Flex Biotech data scientist, and why are they important?

To thrive as a Flex Biotech Data Scientist, you need a strong background in biology, statistics, and data analysis, typically supported by a degree in bioinformatics, computational biology, or a related field. Expertise in programming languages (such as Python or R), experience with bioinformatics tools, and familiarity with platforms like SQL databases and machine learning frameworks are essential. Strong problem-solving skills, collaboration, and the ability to communicate complex findings to non-technical stakeholders make candidates stand out. These skills are crucial for extracting actionable insights from complex biological data, driving innovation, and supporting research and development in biotech environments.

How do Flex Biotech data science professionals typically collaborate with laboratory and research teams?

Flex Biotech Data Science professionals often work closely with laboratory scientists and research teams to interpret experimental data, refine data collection methods, and translate complex results into actionable insights. This collaboration involves regular meetings to discuss ongoing projects, sharing data findings, and providing statistical expertise to optimize research outcomes. Effective communication and a solid understanding of both computational and biological concepts are essential for bridging the gap between data science and laboratory work.

What is a Flex Biotech data scientist?

A Flex Biotech Data Scientist is a professional who applies data science and analytical techniques within the biotechnology sector, often in flexible or cross-functional roles. They analyze large sets of biological and clinical data to support research, development, and innovation in biotech companies. Flex roles may involve working on various projects, collaborating with interdisciplinary teams, and utilizing skills in programming, statistics, and biology. Their work helps drive discoveries, optimize experiments, and improve decision-making processes in the biotech industry.

What is the difference between Flex Biotech Data Science vs Flex Biotech Data Analysis?

AspectFlex Biotech Data ScienceFlex Biotech Data Analysis
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in biotech or healthcare companies, often involving complex data modelingOperational settings focusing on data reporting, visualization, and supporting decision-making
Employer & Industry UsageUsed in biotech firms, pharmaceutical companies, and research institutionsCommon in biotech companies, healthcare providers, and research organizations

Flex Biotech Data Science roles focus on developing predictive models and advanced analytics, requiring programming skills and a strong statistical background. Flex Biotech Data Analysis positions emphasize interpreting data, creating reports, and supporting business decisions with less emphasis on coding. Both roles are vital in biotech but differ in technical complexity and responsibilities.

What are the most commonly searched types of Biotech Data Science jobs in Washington? The most popular types of Biotech Data Science jobs in Washington are:
What cities in Washington are hiring for Flex Biotech Data Science jobs? Cities in Washington with the most Flex Biotech Data Science job openings:
Flex Biotech Data Science jobs near you

Principal Data Scientist

BULLFROG AI MANAGEMENT LLC

Gaithersburg, MD • On-site, Remote

$175K - $215K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 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.

Apply