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Trainee Bioinformatics Jobs (NOW HIRING)

Mentor graduate and undergraduate trainees and participate in collaborative research activities. Qualifications: Required * Ph.D. in Genomics, Bioinformatics, Computational Biology, Animal Science ...

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Trainee Bioinformatics information

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$49K

$203.5K

$400K

How much do trainee bioinformatics jobs pay per year?

As of Jul 11, 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:
Infographic showing various Trainee Bioinformatics job openings in the United States as of July 2026, with employment types broken down into 3% As Needed, 80% Full Time, 10% Part Time, 1% Temporary, 1% Contract, and 5% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.
Postdoctoral Fellow - Thoracic Head & Neck Medical Oncology

Postdoctoral Fellow - Thoracic Head & Neck Medical Oncology

MD Anderson

Houston, TX • On-site

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 7 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 169 frontline employees who took The Breakroom Quiz

28th of 881 rated healthcare providers


Job description

Postdoctoral positions are available to study molecular mechanisms associated with therapeutic response and resistance to RAS inhibition in non-small cell lung cancer (NSCLC) in the laboratory of Ferdinandos Skoulidis, MD, PhD, at the University of Texas MD Anderson Cancer Center in Houston, TX. The lab is largely interested in understanding the molecular diversity of KRAS-mutant NSCLC and developing rational and tailored treatment strategies for patients bearing KRAS-mutant lung tumors. We utilize a multifaceted approach that encompasses preclinical studies in immunocompetent syngeneic and genetically engineered co-mutational models of KRAS-mutant NSCLC as well as PDX/CDXs, in vitro models, and large collections of well-annotated clinical specimens. We employ state-of-the-art computational biology/bioinformatics approaches to dissect acute and adaptive responses to RAS inhibition in vitro and in vivo. We are committed to a question-driven approach that seeks to address the most urgent clinically relevant scientific questions. Applicants with experience in any of these areas and a true passion for cutting-edge bench-to-bedside research are encouraged to apply and provide three professional references.
LEARNING OBJECTIVES
Trainees will perform basic and translational research involving molecular biology approaches (such as CRISPR/Cas technology, Western blotting, ELISA, immunohistochemistry), in vitro assays (such as drug screening, flow cytometry, development of resistant cell lines) and in vivo experiments using xenograft, syngeneic and genetically engineered mouse models of KRAS-mutant lung cancer. Candidates with prior experience in computational biology will acquire additional skills and be involved in the analysis of single-cell RNA Sequencing, WES, and in situ transcriptomics data. Trainees will present their findings at regular lab meetings, departmental seminars, and national conferences. Trainees will submit their findings for publication in a peer-reviewed scientific journal.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
ELIGIBILITY REQUIREMENTS
Applications are invited from qualified individuals interested in working in a translational research lab, with a PhD and/or MD. The ideal candidate(s) should have less than 2 years of prior postdoctoral experience and have a background in cancer or cell and molecular biology. Experience in RAS signaling and targeting, and studies involving mouse models of KRAS-driven cancers, is preferred. We are also looking for applicants with prior expertise in computational biology and bioinformatics, including analysis of single-cell RNA sequencing data and in situ transcriptomics. Candidates should be innovative thinkers and highly motivated to pursue an independent career in biomedical research.
Job Knowledge And Skills:
1. Enthusiastic, highly self-motivated candidate with the ability to think and function independently
2. A strong background in cancer biology or cell and molecular biology. Prior experience in RAS signaling and/or targeting is preferred
3. Expertise in computational biology/bioinformatics (including proficiency in Python/R) would be desirable, though this skill is not essential
4. Prior experience with studies involving mice, including both xenograft/syngeneic models and genetically engineered mice, is preferred
5. Dedication to basic research, a true "drive", is important
6. Collegial nature and ability to work well as part of a team
7. Excellent command of written and spoken English language
8. Prior publication record with at least one published manuscript as first author
ADDITIONAL APPLICATION INFORMATION
https://faculty.mdanderson.org/profiles/ferdinandos_skoulidis.html
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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