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Data Scientist Biotech Jobs in Virginia (NOW HIRING)

rockITdata

Full Stack Data Scientist

Arlington, VA · On-site +1

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

CRDF Global

Biosecurity Expertise

Arlington, VA · On-site

Train scientific communities, such as those in biotech sectors, working with toxins, conducting synthetic biology, and storing/ housing human genomic data on security best practices. Risk Assessment ...

ATCC Biotechnology

Director, Partnerships

Manassas, VA · On-site

$170 - $215/hr

Preferred: Experience within biotechnology, pharmaceutical, life sciences, scientific research ... market data. In addition to base salary, this role may be eligible for additional incentive ...

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Eli Lilly and Company

TSMS- Sr. Scientist

Richmond, VA

$90K - $123K/yr

MS in Biochemistry, Biotechnology, Chemical Engineering or related discipline * Technical knowledge ... Self-starter with high initiative and data-driven approach to problem-solving. * Demonstrated ...

Eli Lilly and Company

TSMS- Sr. Scientist

Richmond, VA · On-site

$90K - $123K/yr

MS in Biochemistry, Biotechnology, Chemical Engineering or related discipline * Technical knowledge ... Self-starter with high initiative and data-driven approach to problem-solving. * Demonstrated ...

Genomics Ltd

Lead Scientist

Triangle, VA · On-site

... health data with proprietary analytics to accelerate drug discovery and advance predictive ... You might act as strategic consultant to an external pharma or biotech partner in the morning ...

ATCC Biotechnology

Partnerships Manager

Manassas, VA · On-site

$125 - $165/hr

... sciences, biotechnology, pharmaceutical, diagnostics, technology, academic, or research ... Scientific fluency with biological products, technologies, data, or related life sciences concepts.

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All JobsData Scientist Biotech JobsData Scientist Biotech Jobs in Virginia

Data Scientist Biotech information

What is the difference between Data Scientist Biotech vs Data Analyst Biotech?

AspectData Scientist BiotechData Analyst Biotech
Required CredentialsBachelor's/Master's in Data Science, Bioinformatics, or related fields; proficiency in programming and statistical toolsBachelor's degree in Life Sciences, Statistics, or related fields; basic data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms; focus on complex data modelingClinical settings, research teams; focus on data collection and reporting
Employer & Industry UsageBiotech firms, pharma companies, research institutionsBiotech and healthcare organizations, research labs

In summary, Data Scientist Biotech roles involve advanced data modeling, machine learning, and bioinformatics, requiring higher technical skills and often advanced degrees. Data Analysts Biotech focus on interpreting and reporting data, with less emphasis on complex modeling. Both roles are vital in biotech but differ in scope and technical depth.

How do you become a data scientist in biotech?

To become a data scientist in biotech, one typically needs a strong background in mathematics, statistics, and programming, often with a master's or Ph.D. in a related field such as bioinformatics, computer science, or biology. Gaining experience with data analysis tools like Python, R, and machine learning techniques, along with understanding biological data and laboratory processes, is essential. Internships, research projects, or relevant work experience can also help build expertise in the biotech industry.

What does a data scientist biotech do?

A data scientist in biotech analyzes complex biological and clinical data to identify patterns, develop predictive models, and support research and development efforts. They often use statistical tools, machine learning techniques, and programming languages like Python or R to interpret data and inform decision-making in biotech projects.

What are popular job titles related to Data Scientist Biotech jobs in Virginia?

For Data Scientist Biotech jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Scientist Biotech jobs in Virginia look for?

The top searched job categories for Data Scientist Biotech jobs in Virginia are:

What cities in Virginia are hiring for Data Scientist Biotech jobs?

Cities in Virginia with the most Data Scientist Biotech job openings:

Data Scientist Biotech jobs near you
Infographic showing various Data Scientist Biotech job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Full Stack Data Scientist

rockITdata

Arlington, VA • On-site, Remote

Full-time

Re-posted 25 days ago

Job description

Driven by Innovation and built on Trust, rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations - think AI, automation and data transformation. We then bring those commercially tested solutions to government entities to deliver predictable, measurable impact for the American taxpayer and consumer.
We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in both data science and software engineering, with a focus on developing end-to-end data-driven solutions. This role offers an exciting opportunity to leverage advanced analytics and cutting-edge technologies to drive impactful business outcomes. This is a Remote position.
Key Responsibilities
  • Data Collection and Preprocessing:
    • Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various sources.
    • Implement strategies for data quality assessment and assurance to ensure reliable analysis outcomes.
  • Exploratory Data Analysis and Visualization:
    • Conduct comprehensive exploratory data analysis to uncover patterns, trends, and insights within the data.
    • Create interactive visualizations and dashboards to effectively communicate findings to stakeholders.
  • Machine Learning Model Development:
    • Design, develop, and deploy predictive models using advanced machine learning algorithms and techniques.
    • Optimize model performance through feature engineering, hyperparameter tuning, and model selection.
  • Software Development and Integration:
    • Build scalable and efficient software solutions for deploying machine learning models into production environments.
    • Integrate data science workflows with existing systems and applications to enable seamless data-driven decision-making.
  • Performance Monitoring and Maintenance:
    • Establish monitoring mechanisms to track the performance of deployed models and identify opportunities for improvement.
    • Conduct regular maintenance activities to ensure the reliability, stability, and scalability of data science solutions.
  • Collaboration and Cross-functional Communication:
    • Collaborate closely with cross-functional teams including data engineers, software developers, and business stakeholders.
    • Communicate technical concepts and findings effectively to both technical and non-technical audiences.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience in data preprocessing, exploratory data analysis, and feature engineering.
  • Expert-level skills in data visualization platforms (e.g. Qlik, Tableau, Power BI)
  • Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis.
  • Strong understanding of machine learning algorithms and statistical modeling techniques.
  • Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
  • Experience in developing and deploying end-to-end data science solutions in cloud environments (e.g., AWS, Azure, GCP).
  • Solid understanding of software engineering principles and best practices for building scalable and maintainable code.

Preferred Qualifications
  • Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industries.
  • Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Knowledge of DevOps practices for continuous integration and deployment (CI/CD).
  • Experience with distributed computing frameworks for parallel processing (e.g., Dask, Ray).
  • Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.

#LIREMOTE
Here at rockITdata, we are committed to following our 10 Guiding Principles.
Our Guiding Principles define our culture. They're who we are, how we work, and what inspires us to be the best. We empower our people to be themselves and encourage an entrepreneurial way of thinking. In our challenging, fast-paced environment, no day is the same.
Know the Why.
Value People Above All Else.
Transparency to a Fault.
Progress, Not Perfection.
Be Good by Doing Good.
Smart People Can Disagree.
Bend but Don't Break.
Represent Your Brand.
Think Differently.
Be Amazing, Be Fearless, Smile, Have Fun!
Interested in joining something unique? Join us on our rockIT ship as we begin to blast off to the next chapter in our organization!
rockITdata has become aware of a recruitment scam where unauthorized individuals are impersonating rockITdata recruiters, issuing fake job offers, and attempting to setup payment for the job seeker's new hire costs. No one is ever required to complete any monetary transactions before starting employment with rockITdata. Legitimate rockITdata communications only come from @rockitdata.com email addresses and our official Applicant Tracking system, JazzHR (@applytojob.com email addresses). Please refer to our official Careers page at www.rockitdata.com/careers to accurately submit your application with us. You may also verify any suspicious communication by contacting our recruitment team directly through our official email, dreamjob@rockitdata.com.
rockITdata is an equal opportunity employer and is committed to non-discrimination in all employment practices and decisions. All qualified applicants will receive consideration for employment without regard to disability status, veteran status or any characteristic protected by Federal, state, or local law.
rockITdata wants all interested and qualified candidates to be able to use our career site to review and apply for employment opportunities. If you have a disability and need an accommodation to access the application process, please contact us for assistance at dreamjob@rockitdata.com.

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