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Entry Level Genomic Data Analyst Jobs in Baltimore, MD

Nextonic Solutions

Biologist

Baltimore, MD · On-site

Genotyping/Sequencing Outputs - Raw and processed data files * QC Reports - Standardized quality metrics and summaries * Analysis Outputs - Variant and methylation results, visualizations * Scripts ...

Umd

Postdoctoral Associate

College Park, MD · On-site

$75K - $80K/yr

... data analysis and visualization Familiarity with common genomics tools, formats and programs Experience with standard *-nix command-line tools and idioms Familiarity with reproducible scientific ...

Varsity Tutors

Genetics Tutor

Laurel, MD · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Baltimore, MD · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

College Park, MD · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Bowie, MD · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Accenture

Data Protection, A/SA-Evergreen

Baltimore, MD · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Genomic Data Analyst information

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How much do entry level genomic data analyst jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for entry level genomic data analyst in Baltimore, MD is $32.72, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $36.54 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Genomic Data Analyst vs Bioinformatics Technician?

AspectEntry Level Genomic Data AnalystBioinformatics Technician
Required CredentialsBachelor's in Genetics, Biology, or related field; basic knowledge of bioinformatics toolsBachelor's in Bioinformatics, Computer Science, or related; familiarity with laboratory data
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, biotech firms
Employer & Industry UsagePharmaceuticals, biotech, academic researchResearch institutions, biotech companies, hospitals
Common Search & ComparisonYesYes

The main difference between an Entry Level Genomic Data Analyst and a Bioinformatics Technician lies in their focus. The analyst primarily interprets genomic data, performs statistical analysis, and supports research projects. The technician typically handles laboratory data management, sample processing, and technical support. Both roles require similar educational backgrounds but differ in daily tasks and focus areas within the genomics field.

How much do entry level genomic data analysts make?

Entry-level genomic data analysts typically earn between $50,000 and $70,000 annually, depending on location, education, and industry. Starting salaries may be lower in some regions, but proficiency with tools like R or Python and knowledge of genomics can lead to higher compensation over time.

How to become an entry level genomic data analyst?

To become an entry-level genomic data analyst, candidates typically need a bachelor's degree in biology, genetics, bioinformatics, or a related field. Developing skills in programming languages such as Python or R, understanding genomic databases, and gaining experience with data analysis tools are important. Internships or entry-level positions can provide practical experience and help build relevant skills for this role.

What are the most commonly searched types of Genomic Data Analyst jobs in Baltimore, MD?

The most popular types of Genomic Data Analyst jobs in Baltimore, MD are:

What are popular job titles related to Entry Level Genomic Data Analyst jobs in Baltimore, MD?

For Entry Level Genomic Data Analyst jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Entry Level Genomic Data Analyst jobs in Baltimore, MD look for?

The top searched job categories for Entry Level Genomic Data Analyst jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Entry Level Genomic Data Analyst jobs?

Cities near Baltimore, MD with the most Entry Level Genomic Data Analyst job openings:

Entry Level Genomic Data Analyst jobs near you
Infographic showing various Entry Level Genomic Data Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 3% Internship, 88% Full Time, 6% Part Time, and 3% Temporary. Highlights an 79% In-person, 6% Hybrid, and 15% Remote job distribution, with an average salary of $68,052 per year, or $32.7 per hour.

Sr. Research Data Analyst (DOM Infectious Disease)

Johns Hopkins University

Baltimore, MD • On-site

$85K - $107K/yr

Full-time

Re-posted yesterday

Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 622 rated colleges and universities

Job description

The Center for Infectious Diseases in India (CIDI) in the Division of Infectious Diseases is seeking a Sr. Research Data Analyst (Sr. RDA) to lead analytics for multiple projects within the Center. The Sr. RDA will be active in the data pre-processing stages as well as the analysis and interpretation of results. The Sr. RDA will be involved in designing and developing analysis plans involving genomic analysis (Illumina, nanopore, RNA-seq, and nano String data), application-based data representation (e.g., Rshiny), and epidemiological methods (e.g., mixed methods and predictive analytics). The position will interact with other data analysts, genomics experts, laboratory staff, and clinicians. This position requires the ability to independently analyze and interpret clinical and genomic data, explore and select appropriate analytic methods and models, and conduct statistical analyses independently. Analysis will be interpreted and presented in collaboration with clinical and scientific investigators. The position will include research and study design, data analysis planning and execution, grant applications, and preparation of presentations and publications. The position will work independently and in collaboration with faculty to solve problems posed by the clinical and laboratory investigators along the study design, data generation, collection, and management process, regulatory approvals, adherence to data storage, sharing, and dissemination rules, and to ensure successful progression of associated research projects.
The Sr. Research Data Analyst will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is responsible for the coordination of data and data analysis activities across multiple studies.
Specific Duties & Responsibilities
  • Develop, manage, and maintain a database for study data for multiple studies.
  • Develop standard operating procedures for initial data entry and data updates.
  • Oversee quality control procedures for databases and ongoing analysis.
  • Develop data models.
  • Conduct statistical analyses of data collected in this system to support empirical study.
  • Build transmission models.
  • Create and curate software tools across diverse programming languages in support of research efforts.

Other duties include
  • Consults with investigators to determine their needs with respect to analysis of data in collaboration with a member of the faculty.
  • Maintains appropriate systems for database-associated management, including preparing codebooks, cleaning data, creating analytic data sets, and performing quality assurance/quality control.
  • Carries out appropriate methodological procedures for statistical analysis of data, ranging from descriptive exploratory data analyses to causal inference.
  • Create and curate software tools across diverse programming languages in support of research efforts, with routine translation of data, models, and tools between languages.
  • Prepares written reports of the statistical analyses, including relevant statistical theory, references, methods, results, and conclusions.
  • Plan data management, including determining type format of data and types of documentation, considering privacy, confidentiality, and other ethical issues.
  • Clean data by coding missing data, fixing or deleting miscoded data, transforming variables into more useful formats, and annotating the data properly. Use descriptive statistics to help characterize and summarize the data.
  • Collaborate with clinical and scientific investigators to propose ideas for new projects, design research, develop data plans, and prepare analyses with general direction from investigators.
  • Apply different technical approaches to visualize the data and prepare publication-quality tables and graphs based on analyses.
  • Identify potential data problems from analytic queries and bring them to the attention of the team.
  • Demonstrate understanding of high-dimensional data collection processes and data sets, and share knowledge with collaborators.
  • Collaborate closely with investigators, project managers, and other team leadership to ensure that research study or project results and conclusions are presented accurately and without bias.
  • Demonstrate progress in ability to multi-task and manage time spent working with individual faculty members and on specific projects.
  • Participate in regularly scheduled meetings with study investigators and the team. Prepares progress reports as needed. Maintain appropriate systems for data organization.
  • Ensure data quality for documentation and dissemination of data. Conduct and track specific activities to accomplish project goals, including evaluating and reporting data and documenting analytic procedures.
  • Able to work collaboratively in a team environment with a high degree of initiative and self-motivation.

Minimum Qualifications
  • Master's Degree in a related field.
  • One year of related experience.
  • Highly specialized advanced knowledge, education, and/or training in a specialized field of study to conduct research.
  • Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications
  • Doctoral Degree in a related discipline.
  • Knowledge and practical experience with programming languages (e.g., Java, C or C++), a scripting language (e.g., Perl, Python), and a statistical environment (e.g., R).
  • Familiarity with longitudinal data analysis of epidemiological studies.
  • Comfort with coding and bioinformatics, including both bacterial genomics and host gene expression analysis (primarily Illumina sequencing data).
  • Comfort working in a command-line environment, such as a high-performance computing environment (like the Rockfish cluster).
  • Experience with computers and knowledge of SAS, Python, STATA, or R, as well as either Mac OS or Windows operating systems.
  • Proficiency in Office Suite of applications.

Classified Title: Sr. Research Data Analyst
Role/Level/Range: ACRP/04/MD
Starting Salary Range: $55,800 - $97,600 Annually ($75,000 targeted; Commensurate w/exp.)
Employee group: Full Time
Schedule: M-F 8:30am-5pm
FLSA Status: Exempt
Location: School of Medicine Campus
Department name: SOM DOM Infectious Disease
Personnel area: School of Medicine

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876

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