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Trainee Biotech Data Science Jobs in Virginia (NOW HIRING)

rockITdata

Full Stack Data Scientist

Arlington, VA · On-site +1

The ideal candidate will possess a strong background in both data science and software engineering ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

IQVIA

CRA 1, IQVIA Biotech

Fairfax, VA

$71K - $145K/yr

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

IQVIA

CRA 1, IQVIA Biotech

Fairfax, VA

$71K - $145K/yr

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

ATCC

Chief Scientific Officer (Manassas)

Manassas, VA · On-site

Partner with Commercial, Operations, Quality, and data science teams to align priorities, integrate ... Proven track record of building and scaling scientific organizations within biotech, life sciences ...

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Trainee Biotech Data Science information

What is the difference between Trainee Biotech Data Science vs Junior Biotech Data Analyst?

AspectTrainee Biotech Data ScienceJunior Biotech Data Analyst
Required CredentialsBachelor's in biotech, data science, or related fieldBachelor's in biotech, life sciences, or related field
Work EnvironmentResearch labs, biotech companies, data-focused projectsBiotech firms, research institutions, data reporting
Industry UsageData science, machine learning, bioinformaticsData analysis, reporting, data management
Common Search/ComparisonYesYes

The Trainee Biotech Data Science role focuses on applying data science and bioinformatics techniques within biotech settings, often involving machine learning and programming. In contrast, a Junior Biotech Data Analyst primarily handles data reporting and basic analysis. Both roles require a background in biotech or related fields, but the data science trainee emphasizes advanced data modeling, while the analyst concentrates on data interpretation and reporting.

What are the most commonly searched types of Biotech Data Science jobs in Virginia?

The most popular types of Biotech Data Science jobs in Virginia are:

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

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

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

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

What cities in Virginia are hiring for Trainee Biotech Data Science jobs?

Cities in Virginia with the most Trainee Biotech Data Science job openings:

Trainee Biotech Data Science jobs near you
Infographic showing various Trainee Biotech Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full Stack Data Scientist

rockITdata

Arlington, VA • On-site, Remote

Full-time

Re-posted 10 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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