ZipRecruiter

Log In

1

Internship Biomarker Jobs (NOW HIRING)

Bio-Techne

Product Support Scientist

Wallingford, CT · On-site

$81K - $134K/yr

... biomarker analysis platform. This role is ideal for a life sciences professional who excels at ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

Pathos

ML Engineer (Intern)

New York, NY · On-site

$30 - $60/hr

... and biomarker strategy. So therapies reach the patients most likely to benefit, sooner. How We ... About the role We are hiring Machine Learning Engineer Interns. You will work alongside senior ...

Bio-Techne

Scientist, Probe Design

Newark, CA

$89K - $146K/yr

... and quantifying RNA biomarkers in situ at single molecule sensitivity. RNAscope is an ideal ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

Bio-Techne

Scientist, Probe Design

Newark, CA · On-site

$89K - $146K/yr

... RNA biomarkers in situ at single molecule sensitivity. RNAscope ® is an ideal platform for ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

next page

Showing results 1-20

All JobsInternship Biomarker Jobs

Internship Biomarker information

See salary details

$9

$17

$23

How much do internship biomarker jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship biomarker in the United States is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are internship biomarker positions?

Internship biomarker positions are temporary roles, often for students or recent graduates, within research, pharmaceutical, or biotech organizations that focus on the study and analysis of biomarkers. Biomarkers are biological indicators used to measure and evaluate physiological processes, disease states, or responses to treatments. These internships provide hands-on experience in areas such as laboratory research, data analysis, and clinical trials, helping interns develop practical skills and knowledge in biomarker discovery and development. Interns often work alongside experienced scientists and contribute to ongoing research projects, gaining valuable industry insight and networking opportunities.

What are the typical responsibilities of an intern in a biomarker research team?

As a biomarker intern, your daily tasks may include assisting with laboratory experiments, analyzing biological samples, and supporting data collection or management. You’ll often collaborate closely with scientists, research associates, and bioinformaticians to help interpret experimental results and maintain accurate records. Interns may also participate in team meetings, learn about regulatory standards, and contribute to ongoing projects, gaining exposure to both the technical and collaborative aspects of biomarker discovery.

What are the key skills and qualifications needed to thrive as an Internship Biomarker, and why are they important?

To thrive as an Internship Biomarker, you generally need a background in life sciences, molecular biology, or related fields, often pursuing or holding a relevant degree. Familiarity with laboratory techniques, data analysis software (such as R or Python), and exposure to biomarker discovery platforms are typically required. Strong attention to detail, analytical thinking, and effective communication skills help interns stand out in collaborative research environments. These competencies are crucial for producing reliable results, supporting scientific projects, and contributing to advancements in biomarker research.
More about Internship Biomarker jobs
What cities are hiring for Internship Biomarker jobs? Cities with the most Internship Biomarker job openings:
What are the most commonly searched types of Biomarker jobs? The most popular types of Biomarker jobs are:
What states have the most Internship Biomarker jobs? States with the most job openings for Internship Biomarker jobs include:
What job categories do people searching Internship Biomarker jobs look for? The top searched job categories for Internship Biomarker jobs are:
Internship Biomarker jobs near you
Infographic showing various Internship Biomarker job openings in the United States as of May 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 100% In-person job distribution, with an average salary of $35,518 per year, or $17.1 per hour.
Assistant/Associate Professor

Assistant/Associate Professor

Howard University

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Howard University rating

8.7

Company rating: 8.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

40th of 535 rated colleges and universities

Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
We are seeking to hire an Assistant/Associate Professor. The Department of Pediatrics and Child Health in the College of Medicine at Howard University invites applications for a tenure-line, full-time, faculty position at the rank of Assistant/Associate Professor, with research expertise and teaching experience in advancing artificial intelligence (AI) for environmental health and community outcomes. The successful candidate will support the ongoing project on allergies and asthma. With an anticipated start date of August 2026, this position is part of the Office of the Provost Artificial Intelligence (AI) Cluster Hire Initiative, which aims to expand AI interdisciplinary research and instruction across the university.
SUPERVISORY AUTHORITY:
The candidate will supervise postdocs, students, research assistants, or lab interns conducting projects.
NATURE AND SCOPE:
The successful candidate will be housed in the Department of Pediatrics and Child Health in the College of Medicine (COM) and will develop an innovative, extramurally-funded research program applying AI techniques and advanced data science to questions at the intersection of environmental health, variation in health outcomes across populations, and clinical allergies and asthma care.
Research expertise in social and environmental determinants of health employing artificial intelligence methodologies is required.
The faculty member will lead interdisciplinary research at the intersection of computational health, AI, GIS, and medical data analytics, utilizing data science and data engineering approaches to convert unstructured data into structured formats suitable for large-scale analysis. This is an exciting opportunity to work with a cross-disciplinary team to build computational infrastructure to mobilize data. Experience designing systems to capture and structure unstructured electronic health record (EHR) data is required, and the design and maintenance of efficient, secure databases.
The successful candidate will publish in high-impact journals, present at national and international conferences, and pursue competitive external funding. The candidate will partner with another AI Cluster hire, housed in the School of Social Work and the College of Arts and Sciences' Department of Earth, Environment, and Equity (E3), to develop interdisciplinary coursework and advance collaborative research applying AI and machine learning to clinical, environmental, and behavioral datasets.
Preferred screening deadline of March 31, 2026, and will be considered until position is filled. Be sure to submit your cv, research statement, teaching statement, and letters of recommendation.
PRINCIPAL ACCOUNTABILITIES:
  • Lead interdisciplinary research at the intersection of computational health, AI, GIS, and medical data analysis, leveraging data science and data engineering approaches to convert unstructured data into structured, analyzable formats.
  • Apply machine learning models to analyze and interpret complex environmental and health data, with a focus on digital biomarker discovery.
  • Design systems to capture unstructured EHR data; demonstrate proficiency in Python or R, structured query language (SQL), cloud-based solutions (e.g., Microsoft Azure), and database design and management.
  • Publish research findings in high-impact journals, present at conferences, and pursue external funding through competitive grant submissions.
  • Partner with other AI cluster faculty to develop interdisciplinary coursework, including responsible and ethical AI in healthcare.
  • Contribute to teaching and mentoring medical, graduate, and undergraduate students.

CORE COMPETENCIES:
  • M.D., Ph.D., M.D./Ph.D., or M.D./M.S. or equivalent terminal degree in Environmental Health, Data Science, Epidemiology, Biomedical Informatics, Computer Science, or a related field.
  • Strong expertise in AI, machine learning, and natural language processing for data extraction and analysis.
  • Demonstrated experience working with electronic health records (EHRs) and digital biomarker data analysis.
  • Excellent written and oral communication skills, with a proven track record of publishing high-quality research.
  • Ability to work collaboratively in an interdisciplinary research environment.

MINIMUM REQUIREMENTS:
  • Experience with large-scale health data analysis, including the use of big data technologies.

  • Knowledge of regulatory and ethical considerations related to health data, including electronic health records governance.

  • Familiarity with public health datasets, environmental exposure assessment, and population health outcomes.

  • Experience in database management, data visualization, and bioinformatics tools.

  • Teaching experience in environmental health or related fields is desirable but not required.

Compliance Salary Range Disclosure
Compensation Range: $120,000 - $150,000

Apply