ZipRecruiter

Log In

1

Trainee Bioinformatics Jobs (NOW HIRING)

Tufts University

Data Management Specialist

Boston, MA · On-site

$54K - $81K/yr

... and trainees on data management best practices, and in data sharing and retention policies. Data management services include partnering with investigators and the HNRCA bioinformatician ...

next page

Showing results 1-20

All JobsTrainee Bioinformatics Jobs

Trainee Bioinformatics information

See salary details

$49K

$203.5K

$400K

How much do trainee bioinformatics jobs pay per year?

As of Jun 19, 2026, the average yearly pay for trainee bioinformatics in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks can a Trainee Bioinformatics expect to work on during their initial months?

As a Trainee Bioinformatics, you can expect to contribute to projects involving data preprocessing, quality control, and basic analysis of biological datasets, such as genomic or transcriptomic data. You will likely collaborate closely with senior bioinformaticians, biologists, and software developers, assisting with data annotation, pipeline testing, and report generation. The early stages often focus on building foundational skills in scripting (such as Python or R), using bioinformatics tools, and understanding the lab's data workflows, which sets you up for more complex analytical tasks as you gain experience.

What are Trainee Bioinformaticians?

Trainee Bioinformaticians are entry-level professionals who are learning to apply computational and statistical methods to analyze biological data, such as DNA, RNA, or protein sequences. They often work under the supervision of experienced bioinformaticians or researchers, assisting with data processing, software development, and research projects. Their role is crucial in fields like genomics, biomedical research, and pharmaceutical development, as they help make sense of complex biological information. Trainee Bioinformaticians typically have a background in biology, computer science, or a related field, and are developing their skills in programming, data analysis, and bioinformatics tools.

What are the key skills and qualifications needed to thrive as a Trainee Bioinformatics, and why are they important?

To thrive as a Trainee Bioinformatics, you need a solid grounding in biology, statistics, and computer science, often backed by a relevant bachelor's or master's degree. Familiarity with programming languages such as Python or R, experience with bioinformatics databases, and use of tools like BLAST or Galaxy are typically required. Strong analytical thinking, attention to detail, and effective communication help you interpret complex data and collaborate with interdisciplinary teams. These skills and qualities are essential for extracting meaningful insights from biological data and supporting scientific research.

What is the difference between Trainee Bioinformatics vs Bioinformatics Analyst?

AspectTrainee BioinformaticsBioinformatics Analyst
Required CredentialsTypically a bachelor's degree in bioinformatics, biology, or related field; entry-levelBachelor's or master's degree; some roles prefer experience or certifications
Work EnvironmentTraining programs, internships, or entry-level positions in research labs or biotech companiesFull-time roles in research institutions, biotech firms, or healthcare organizations
Employer & Industry UsageUsed by employers for onboarding new talent or students gaining practical experienceUsed by employers for ongoing data analysis, research projects, and bioinformatics workflows

The main difference between a Trainee Bioinformatics and a Bioinformatics Analyst is experience level and responsibility. Trainee Bioinformatics roles are designed for individuals starting their careers, focusing on learning and skill development. Bioinformatics Analysts are more experienced professionals responsible for analyzing biological data, interpreting results, and supporting research projects.

More about Trainee Bioinformatics jobs
What cities are hiring for Trainee Bioinformatics jobs? Cities with the most Trainee Bioinformatics job openings:
What are the most commonly searched types of Bioinformatics jobs? The most popular types of Bioinformatics jobs are:
What states have the most Trainee Bioinformatics jobs? States with the most job openings for Trainee Bioinformatics jobs include:
What job categories do people searching Trainee Bioinformatics jobs look for? The top searched job categories for Trainee Bioinformatics jobs are:
Trainee Bioinformatics jobs near you
50% Research Associate - Infectious Diseases

50% Research Associate - Infectious Diseases

The University Of Iowa

Iowa City, IA • On-site

Other

Posted 3 days ago

University Of Iowa rating

6.8

Company rating: 6.8 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

409th of 538 rated colleges and universities

Job description

BASIC FUNCTION

The Research Assistant - Computational Scientist supports research efforts in Dr. Priya Issuree' laboratory, which studies epigenetic mechanisms of gene regulation in immune cells. This position will provide computational support by analyzing experiments across laboratory projects and will require analysis, organization and interpretation of both newly generated and existing genomic datasets and using computational tools to perform integrated and multimodal data analyses, under the PI's supervision. This role involves the development, implementation, and maintenance of computational pipelines; application of statistical tests and rigor to generation of integrative models of gene function in immune cells. The RA will work closely with scientists, trainees, and collaborators and will contribute to study design, data interpretation, visualization, and dissemination. The position may also support data infrastructure efforts, including computational tools that enhance data sharing, reproducibility, and discovery.

KEY AREAS OF RESPONSIBILITY

Computational and Bioinformatic Analysis:

  • Perform bioinformatic analyses (scRNA-Seq, ATAC-Seq, Cut and Tag, DNA methylation) based upon protocols developed by the principal investigator of the research project.

  • Perform combinatorial/multimodal bioinformatic analyses and appropriate statistical analyses, and generate graphical outputs to visualize findings.

  • Use multimodal datasets to develop new hypotheses and generate avenues for biological validation and testing by other team and lab members, with assistance from the PI

  • Generate figures, summaries, and visualizations for manuscripts, presentations, grant applications, and internal reports.

Data management, analysis and compliance:

  • Proper documentation of bioinformatic codes used for different projects and establish a systematic approach to easily locate, analyze, and store data.

  • Develop and rigorously test new pipelines as necessary and ensure methods used are scientifically sound

  • Assist in preparing documentation of computational methods for publications and regulatory or funding requirements, as directed by the Principal Investigator

  • Develop independence in troubleshooting, analysis, and propose modifications to protocols; present results at team meetings and meet with collaborators as needed.

  • Adhere to safety and compliance guidelines in the laboratory.

  • Adhere to Quality Assurance protocols to maintain the validity and integrity of research data.

Administrative and Project Management:

  • Assist with manuscript and grant preparations, under PI's supervision

  • Track various indicators of project progress and summarize in reports to the research team. Prepare data/ project updates and results for discussion at weekly meeting with PI.

Facilities and Equipment Management:

  • Assist in the maintenance of cloud servers and external servers used for data storage at the university

  • Ensuring proper functioning of all hardware and software needed for data analysis and storage

REQUIRED QUALIFICATIONS

  • Bachelor's degree in computational biology, Bioinformatics, Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a closely related quantitative or lifescience field, or equivalent combination of education and progressively responsible experience in a research laboratory environment is required

  • Experience performing computational analysis of highthroughput biological data, such as singlecell RNA sequencing (scRNAseq) and ATAC Seq

  • Proficiency in at least one programming language commonly used in computational biology (e.g., R and/or Python).

  • Working knowledge of standard bioinformatic workflows, including data quality control, normalization, statistical analysis, and data visualization.

  • Ability to follow established computational pipelines and analytical protocols under general supervision.

  • Strong attention to detail and ability to document computational methods, code, and results.

  • Effective written and verbal communication skills, including the ability to explain computational results to collaborators with varied scientific backgrounds.

  • Ability to work collaboratively as part of a multidisciplinary research team and manage multiple projects simultaneously.

DESIRED QUALIFICATIONS:

  • Prior experience with integration of multimodal datasets (e.g., transcriptomic + epigenomic, data).

  • Basic experience applying machine learning or predictive modeling approaches to biological data.

  • Experience developing or contributing to reproducible workflows using version control systems (e.g., Git).

  • Experience generating publicationquality figures and contributing to manuscripts, abstracts, or grant applications.

  • Master's degree in computational biology, Bioinformatics, Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a closely related quantitative or lifescience field.

Position and Application Details:

In order to be considered for an interview, applicants must upload the following documents and mark them as a "Relevant File" to the submission:

  • Resume
  • Cover Letter

Job openings are posted for a minimum of 7 calendar days and may be removed from posting and filled any time after the original posting period has ended.

Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification. Up to 5 professional references will be requested at a later step in the recruitment process.

For additional questions, please contact ashley-rayer@uiowa.edu.

Additional Information
  • Classification Title: Research Associate
  • Appointment Type: Professional and Scientific
  • Schedule: Part-time
Compensation
  • Pay Level: 4A
Contact Information
  • Organization: Healthcare
  • Contact Name: Ashley Nelson
  • Contact Email: ashley-rayer@uiowa.edu

What University Of Iowa employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply