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Data Scientist Trainee Jobs in Virginia (NOW HIRING)

Virginia Tech

Research Assistant

Blacksburg, VA · On-site

$17 - $23.25/hr

Research / Scientific The Shin Lab at the Fralin Biomedical Research Institute (VTC, Virginia Tech ... Contribute to research team meetings, problem-solving, and data quality improvement. Manage a large ...

SCCI

Senior Software Developer

King George, VA · On-site

$51 - $67.25/hr

... trainee behavior and mission context * Maintains a working prototype pipeline that enables rapid ... Bachelor of Science (BS) degree in Computer Science, Electrical Engineering, Applied Mathematics ...

Compass Group

LEAD JANITOR

King William, VA · On-site

$18/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Quest Diagnostics

Lab Associate I

Chantilly, VA · On-site

$18.39/hr

Resolves pending list in coordination with Lab Assistants and Medical Lab Scientists. * Liaison for ... Tallies workload data and prepares reports as requested. * Assists in the performance of quality ...

Quest Diagnostics

Lab Associate I

Chantilly, VA · On-site

$18.39/hr

Resolves pending list in coordination with Lab Assistants and Medical Lab Scientists. * Liaison for ... Tallies workload data and prepares reports as requested. * Assists in the performance of quality ...

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Data Scientist Trainee information

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$37.2K

$121.7K

$194.8K

How much do data scientist trainee jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data scientist trainee in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist trainee?

To thrive as a Data Scientist Trainee, you need a solid understanding of statistics, data analysis, and programming (preferably in Python or R), often supported by a degree in a quantitative field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and entry-level certifications such as IBM Data Science Professional Certificate can be highly beneficial. Attention to detail, problem-solving ability, and a willingness to learn and collaborate help distinguish strong candidates in this role. These qualifications and competencies enable trainees to effectively support data projects, extract meaningful insights, and smoothly develop into more advanced data science positions.

Can I get a data scientist trainee job with no experience?

Entry-level data scientist trainee positions often do not require prior professional experience, but candidates typically need a strong foundation in programming, statistics, and data analysis tools like Python or R. Demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such roles.

Is a data scientist trainee job still in demand?

Data scientist trainee roles are in demand as companies seek entry-level professionals with skills in programming, statistics, and data analysis tools like Python or R. The demand is driven by the growing importance of data-driven decision-making across industries, making these positions valuable for those developing foundational data skills and certifications.

What is a data scientist trainee?

A Data Scientist Trainee is an entry-level role designed for individuals looking to gain hands-on experience in data science. Trainees typically work under the guidance of senior data scientists, assisting with data collection, cleaning, analysis, and model development. They may use programming languages like Python or R, as well as tools like SQL and machine learning frameworks. This role helps build foundational knowledge in data science principles, statistical analysis, and data visualization. It is ideal for recent graduates or career switchers who want to develop practical skills before transitioning into a full-time data science role.

What does a data scientist trainee do?

A data scientist trainee assists in analyzing data, developing models, and interpreting results under the supervision of experienced data scientists. They often learn programming languages like Python or R, work with data visualization tools, and gain practical experience in data cleaning, statistical analysis, and machine learning techniques.

What are the typical responsibilities of a data scientist trainee?

As a Data Scientist Trainee, you will often assist with cleaning and organizing large datasets, performing exploratory data analysis, and developing basic predictive models under the guidance of more experienced team members. You may also help create data visualizations, build dashboards, or automate simple data processing tasks. Collaboration is key, as you’ll regularly work with senior data scientists, business analysts, and sometimes cross-functional teams to support ongoing projects and learn industry best practices. This role provides a valuable hands-on foundation, helping you build the technical and analytical skills necessary for future advancement in the field.

What are the most commonly searched types of Data Scientist jobs in Virginia? The most popular types of Data Scientist jobs in Virginia are:
What are popular job titles related to Data Scientist Trainee jobs in Virginia? For Data Scientist Trainee jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Scientist Trainee jobs in Virginia look for? The top searched job categories for Data Scientist Trainee jobs in Virginia are:
What cities in Virginia are hiring for Data Scientist Trainee jobs? Cities in Virginia with the most Data Scientist Trainee job openings:
Data Scientist Trainee jobs near you
Infographic showing various Data Scientist Trainee job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Genomics and Multi-omics Senior Laboratory Research Specialist, Biology

University of Virginia

Charlottesville, VA • On-site

Full-time

Posted 9 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

207th of 616 rated colleges and universities

Job description

The Department of Biology at the University of Virginia's College and Graduate School of Arts & Sciences seeks applications for a full-time Senior Laboratory Research Specialist to provide genomic and multi-omic technical support, training, and consultation to research groups across the Department and, as demand warrants, elsewhere in the College. The position reconstitutes and expands the Department's genomics support beyond traditional DNA library preparation to encompass single-cell and single-nucleus methods, epigenomics, spatial transcriptomics, and multi-omic sample preparation.
The Senior Laboratory Research Specialist works with laboratories throughout the Department-using departmental and laboratory-hosted instrumentation-to design and execute experiments, train personnel, and build shared technical capacity. Projects are undertaken on a fee-for-service basis with faculty and departmental oversight. Broad service across the Department's research areas, and across a wide range of organisms and sample types, is a core expectation of the role, as is the flexibility to grow with the Department's evolving technical needs. Additional technical specialist positions in complementary areas are anticipated.
Duties and responsibilities will include but are not limited to:
  • Consulting with faculty, staff, and trainees on experimental design, platform selection, sample and library QC strategy, cost, and feasibility.
  • Preparing next-generation sequencing libraries across a range of applications: bulk RNA-seq, genomic DNA, and amplicon libraries; single-cell and single-nucleus RNA-seq and multi-omic methods (e.g., 10x Genomics, Parse Biosciences); epigenomic assays (ATAC-seq, ChIP-seq/CUT&RUN, bisulfite-seq); and spatial transcriptomics.
  • Extraction and quality control for nucleic acids from diverse tissues, species, and sample types-including low-input, degraded, and non-traditional model organism samples-by real-time PCR/qPCR, fluorometry, and automated electrophoresis (Agilent TapeStation).
  • Performing in-house Illumina MiSeq or Nanopore sequencing; coordinating submissions to and negotiating rates with external sequencing providers; preparing samples for proteomic and metabolomic analysis in coordination with other facilities.
  • Performing of standard sample-to-result data handling (e.g., demultiplexing, read quality control, alignment, and generation of count or feature matrices).
  • Training users across the Department: personalized, bench-side instruction for undergraduate researchers, graduate students, postdocs, and staff, together with periodic workshops; developing and maintaining protocols and best-practice documentation.
  • Coordinating use of departmental and laboratory-hosted instrumentation across research groups; maintaining equipment inventories, service contracts, and maintenance plans; implementing cost-reduction strategies (bulk purchasing, pooled service contracts, negotiated discounts, avoidance of redundant purchases).
  • Purchasing and maintenance of laboratory supplies and equipment; service unit tracking and monthly billing; contributing to the development of operating procedures and rates in consultation with departmental faculty and leadership.
  • Providing support, as departmental needs evolve, in adjacent molecular biology methods including molecular cloning and plasmid construction, PCR, qPCR, and digital droplet PCR, genotyping, and in situ hybridization.
  • Other duties as assigned.

Minimum Qualifications
  • Education: Bachelor's degree.
  • Experience: 5+ years of relevant experience required.

Preferred Qualifications
  • Ph.D. or M.S. in molecular biology, genomics, genetics, or a related field.
  • Strong background in molecular biology techniques, with demonstrated ability to follow, adapt, and develop laboratory protocols.
  • Hands-on experience with multiple methods of sequencing library preparation, including single-cell or single-nucleus methods and, ideally, at least one epigenomic or spatial approach; experience with real-time PCR/qPCR and automated electrophoresis (Agilent TapeStation or equivalent).
  • Experience supporting multiple independent research groups, and the ability to work effectively across diverse organisms, sample types, and scientific questions, including non-model systems.
  • Broad molecular biology and biochemistry skills beyond core genomics-for example cloning, digital droplet PCR, genotyping, or in situ hybridization-with flexibility to apply them as departmental needs evolve.
  • Experience in pre-processing of sequencing reads and standard analysis methods (coverage, quality, mutations); working proficiency at the command line and in R and/or Python.
  • Demonstrated teaching, mentoring, or training experience, and enthusiasm for building technical skills in others.
  • Demonstrated analytical, troubleshooting, and problem-solving skills.
  • Experience with spreadsheets, ordering, and budget management.
  • Excellent communication skills, ability to work independently, and ability to set and communicate priorities transparently among many stakeholders.

Physical Demands
This position can spend extensive periods of time standing while conducting experiments, and requires keyboarding and other bench work requiring fine finger manipulation.
Salary Range
The anticipated hiring range is $76,000-$85,000 annually, commensurate with education and experience.
Position Type & Work Location
This is an exempt-level, benefited position. Learn more about UVA benefits . This position is based in Charlottesville, VA, and must be performed fully on-site. To learn more about UVA and the Charlottesville area, visit UVA Life and Embark CVA .
Application Timeline
Application review will begin after July 22, 2026.
Additional Requirements
  • Background checks will be conducted on all new hires prior to employment.
  • This position will not consider candidates who require immigration sponsorship.
  • This is a restricted position, which is dependent on funding and is contingent upon funding availability.

How to Apply
Please apply online , by searching for requisition number R00XXXXX.
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
Complete an application with the following documents:
  • Resume
  • Cover Letter

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Reference Check Process
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
Contact
  • For questions about the position, please contact Dave Parichy at dmp6n@virginia.edu
  • For questions about the application process, please contact Jon Freeman at jf2sw@virginia.edu.

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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