2

Entry Level Genomics Data Scientist Jobs in Raleigh, NC

Tianlong Chen ( at Department of Computer Science at the University of North Carolina at Chapel ... Strong motivation and interest to analyze genomics data and interpret biomedicine from data ...

Tianlong Chen ( at Department of Computer Science at the University of North Carolina at Chapel ... GitHub is a plus. • Strong motivation and interest to analyze genomics data and interpret ...

Scientist Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do ... Conduct data analysis and interpretation on other large data types in a genomic context.

Scientist Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do ... Conduct data analysis and interpretation on other large data types in a genomic context.

Design and oversee studies integrating patient-derived clinical data with genomic, epigenomic ... Provide scientific oversight for experimental studies using breast cancer models, including ...

Scientific Research & Analysis Travel Required: None Clearance Required: Ability to Obtain Public ... Conduct analysis and interpretation on data from genomic platforms including expression, exon ...

Integrate and analyze diverse genomic and multi-omicdatasets, including sequencing and public data sources. * Install, configure, and support scientific software across computing platforms; ensure ...

... experimental data (R, Python, genomics data experience) * Excellent written and verbal ... and scientific conferences * Mentor graduate and undergraduate students as appropriate

... Genomics data sets using cell ranger pipeline and additional analysis tools is desired. Must have writing experience; manuscript, grant and/or abstracts for scientific meetings Preferred ...

Postdoctoral

Chapel Hill, NC

$41K - $56K/yr

Company Description The Structural Genomics Consortium at the University of North Carolina at ... chemists, and data scientists. The ideal candidate will have significant expertise in ...

next page

Showing results 1-20

Entry Level Genomics Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do entry level genomics data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for entry level genomics data scientist in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

How to become a genomic data scientist?

To become a genomic data scientist, one typically needs a bachelor's degree in bioinformatics, genetics, computer science, or a related field, followed by gaining skills in programming languages like Python or R, and experience with genomic data analysis tools. Advanced roles often require a master's or Ph.D. in a relevant discipline and familiarity with high-throughput sequencing technologies and statistical methods. Building a strong foundation in biology, data analysis, and computational skills is essential for success in this field.

What is the difference between Entry Level Genomics Data Scientist vs Entry Level Bioinformatics Analyst?

AspectEntry Level Genomics Data ScientistEntry Level Bioinformatics Analyst
Required CredentialsBachelor's in Bioinformatics, Genetics, or related field; some roles prefer internshipsBachelor's in Bioinformatics, Biology, or related field; similar certifications
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, academic settings
Industry UsageGenomics research, personalized medicine, biotech developmentGenomics, molecular biology, clinical research
Common Search/ComparisonYesYes

Both roles require similar educational backgrounds and work in genomics-related environments. The main difference is that a Genomics Data Scientist focuses more on analyzing large genomic datasets and developing models, while a Bioinformatics Analyst often performs data processing and interpretation tasks. Understanding these distinctions helps job seekers identify the best fit for their skills and career goals.

Is 40 too late for data science?

Entry level genomics data scientists can start at age 40, as the field values relevant skills such as programming, statistical analysis, and knowledge of genomics tools. Many professionals successfully transition into data science later in their careers by gaining certifications and practical experience, making age less of a barrier than skill set and dedication.

Can I get a data scientist job with no experience?

Entry-level genomics data scientist positions typically require some foundational knowledge in biology, programming, and data analysis, but they often do not require extensive professional experience. Candidates can improve their chances by gaining skills in tools like Python, R, and bioinformatics software, and obtaining relevant certifications or completing internships. Demonstrating a strong understanding of genomics concepts and analytical skills can help entry-level applicants secure such roles.

How do I become a data scientist with no experience?

To become an entry-level genomics data scientist with no experience, focus on building foundational skills in programming (such as Python or R), statistics, and biology through online courses or tutorials. Gaining practical experience with datasets, learning relevant tools like Jupyter notebooks, and obtaining certifications can improve your prospects; internships or volunteer projects also provide valuable hands-on experience.
What are popular job titles related to Entry Level Genomics Data Scientist jobs in Raleigh, NC? For Entry Level Genomics Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Entry Level Genomics Data Scientist jobs? Cities near Raleigh, NC with the most Entry Level Genomics Data Scientist job openings:
Molecular Scientist, Genomics

Full-time

Posted 4 days ago


Job description

About the Job

The Molecular Scientist, I position is an entry level position where the scientist will be responsible for the clinical laboratory testing for Genomics in Henderson. The tests involve DNA extraction, qPCR, and data analysis. The scientist will also have to utilize the LIMS system to process patient data and results. The position will focus on SARS-CoV-2 (COVID19) patient testing.   The scientist must be comfortable working with infectious materials and have experience handling biohazardous materials.  Proficiency with wet lab activities, computers, robotics, and sample tracking are critical to success.

A Day in the Life

  • Extracting DNA from Respiratory Samples
  • Performing quality control on DNA samples
  • Performing qPCR preparation and instrument runs
  • qPCR Data analysis
  • Monitoring positive and negative controls as part of quality control measures
  • Building sample batches within LIMS and resulting and verifying data
  • Maintaining inventory of reagents
  • Communicating with genomics supervisor on status of samples/batches
  • Instrument maintenance and laboratory cleaning
  • Accessioning samples if necessary
  • Working with genomics supervisor and accomplishing necessary assigned duties as needed

Requirements

  • Graduation from an accredited four year college in a relevant field; biology, chemistry, biochemistry, or genetics.
  • Experience in clinical diagnostics or molecular biology laboratory wet work is preferred but not required (1 to 2 years)
  • Extensive knowledge of the principles, theories and practices of molecular biology, specifically DNA extraction and qPCR
  • Specialized knowledge of and ability to use a full range of standard technical equipment, complex scientific apparatus, and automated techniques of analysis;
  • Extensive knowledge of laboratory safety practices and principles;
  • Aware of state and federal laws, rules, regulations, and policies concerning the program area (i.e. CLIA and CAP);
  • Ability to meet requirements for personnel certification as a technologist pursuant to the Clinical Laboratory Improvement Act (CLIA);
  • Ability to effectively communicate technical information both verbally and in writing and maintain productive working relationships;
  • Ability to satisfactorily participate in proficiency testing programs and recognize QA problems;
  • Ability to compile, analyze, evaluate, and prepare laboratory reports.
  • Eagerness to learn and work as part of a team
  • Positive attitude and willingness to help
  • Strong communication skills
  • Experience with Next Generation Sequencing (NGS) is a plus