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Remote Neonatal Research Jobs (NOW HIRING)

Research Scientist

Aurora, CO · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

University of Colorado Anschutz Department of Pediatrics | Section of Neonatology Job Title ... Remote - this role is eligible to work remotely, but the employee must be in the United States. Why ...

NICU DIETITIAN

Bakersfield, CA · On-site +1

$80K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Semi-Remote- Schedule flexibility offered (4 days onsite/1 day remote). Requirement : Registered ... Apply the latest research in alignment with the diet manual, company policies, and facility ...

NICU DIETITIAN

Bakersfield, CA · On-site +1

$80K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Semi-Remote- Schedule flexibility offered (4 days onsite/1 day remote). Requirement : Registered ... Apply the latest research in alignment with the diet manual, company policies, and facility ...

  • Medical

  • Retirement

... neonatal Fc receptor blocker approved for the treatment of gMG, and with the potential to treat ... The MSL willidentifyclinical trial sites and opportunities for research, work closely with clinical ...

... neonatal Fc receptor blocker approved for the treatment of gMG, and with the potential to treat ... The MSL willidentifyclinical trial sites and opportunities for research, work closely with clinical ...

... neonatal Fc receptor blocker approved for the treatment of gMG, and with the potential to treat ... The MSL willidentifyclinical trial sites and opportunities for research, work closely with clinical ...

$37.40 - $61.71/hr

... research. This remote opportunity is ideal for a dedicated professional eager to apply their ... NICU). * Remote Work Proficiency: Demonstrated experience working effectively in a remote ...

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Remote Neonatal Research information

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$35K

$56.1K

$101K

How much do remote neonatal research jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote neonatal research in the United States is $56,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $47,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote neonatal research roles, and how can they be addressed?

Remote neonatal research professionals often encounter challenges such as coordinating data collection across multiple sites, maintaining consistent communication with clinical teams, and ensuring data integrity when working outside traditional lab environments. Overcoming these hurdles typically involves leveraging secure digital platforms for data sharing, establishing clear protocols for virtual collaboration, and participating in regular video or teleconferences to keep all stakeholders aligned. Building strong relationships with on-site staff and staying adaptable to evolving technologies are also key strategies for success in this field.

What is remote neonatal research?

Remote neonatal research involves conducting studies and collecting data on newborn infants (neonates) using digital tools and virtual collaboration, rather than in-person methods. This can include remote monitoring of vital signs, telemedicine consultations, and electronic data collection from various locations. The goal is to improve neonatal care and outcomes while allowing researchers to work from different sites, making research more accessible and efficient. Remote neonatal research often relies on secure digital platforms to ensure the privacy and safety of sensitive patient information.

What are the key skills and qualifications needed to thrive in remote neonatal research, and why are they important?

Success in Remote Neonatal Research requires a strong background in neonatal medicine, research methodology, and often an advanced degree such as an MD, DO, or PhD. Familiarity with data analysis software (like SPSS or R), electronic data capture systems, and compliance with research ethics (such as CITI certification) is typically expected. Outstanding attention to detail, communication skills, and the ability to collaborate remotely are vital soft skills in this field. These competencies ensure rigorous data collection, ethical research practices, and effective teamwork, all of which are crucial for advancing neonatal care and outcomes.

What is the difference between Remote Neonatal Research vs Remote Pediatric Research?

AspectRemote Neonatal ResearchRemote Pediatric Research
Required credentialsResearch experience, healthcare background, possibly clinical research certificationsResearch experience, healthcare background, possibly clinical research certifications
Work environmentResearch institutions, hospitals, clinical settings, remote optionsResearch institutions, hospitals, clinics, remote options
Employer and industry usageHospitals, research organizations, neonatal care centersHospitals, research organizations, pediatric care centers

Remote Neonatal Research and Remote Pediatric Research share similar credentials and work environments, focusing on different patient populations. Neonatal research centers on newborns, while pediatric research covers children of all ages. Both roles involve remote data collection, analysis, and collaboration within healthcare and research institutions.

More about Remote Neonatal Research jobs

What cities are hiring for Remote Neonatal Research jobs?

Cities with the most Remote Neonatal Research job openings:

What are the most commonly searched types of Neonatal Research jobs?

The most popular types of Neonatal Research jobs are:

What states have the most Remote Neonatal Research jobs?

States with the most job openings for Remote Neonatal Research jobs include:

Infographic showing various Remote Neonatal Research job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 100% Remote job distribution, with an average salary of $56,057 per year, or $27 per hour.

Research Scientist

University of Colorado

Aurora, CO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

145th of 618 rated colleges and universities


Job description

University of Colorado Anschutz

Department of Pediatrics | Section of Neonatology

Job Title: Research Scientist

Position #:00851869 - Requisition #:40806

Job Summary:

The candidate will support a basic-translational research program focused on lung biology by analyzing high-throughput sequencing data, including bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics, to investigate gene expression and cellular dynamics in lung development and disease. This role involves close collaboration with bench scientists to design experiments, interpret biological data, and translate complex datasets into actionable scientific insights. The bioinformatician will develop and maintain reproducible computational pipelines, generate clear visualizations and reports, and ensure data integrity across all stages of analysis. The position requires both independent problem-solving and active engagement with the broader research team to advance the lab's scientific goals.

Key Responsibilities:

         Design, conduct, and lead independent and collaborative biomedical research projects focused on pulmonary biology, neonatal lung injury, and translational medicine.

         Analyze and interpret complex multiomics datasets, including bulk RNA sequencing, single-cell RNA sequencing (scRNA-seq), and spatial transcriptomics data using R, Python, and advanced bioinformatics methodologies.

         Develop, optimize, and maintain reproducible computational workflows utilizing Docker, version control systems, and modern data science best practices.

         Perform statistical analyses and generate publication-quality figures, visualizations, and reports to support scientific discoveries and grant-funded research.

         Create and deploy interactive data visualization tools and web applications using R Shiny and other software frameworks to facilitate data exploration and scientific communication.

         Collaborate with multidisciplinary teams including clinicians, biologists, statisticians, and computational scientists to develop innovative research approaches and translate findings into impactful publications.

         Lead manuscript preparation, scientific writing, and presentation of research findings at institutional, national, and international scientific meetings.

         Contribute to the development of grant proposals, research protocols, and scientific reports supporting funded research programs.

         Mentor students, trainees, research staff, and junior investigators in experimental design, bioinformatics, statistical analysis, and computational research methodologies.

         Develop and maintain laboratory databases, data management systems, and data governance practices to ensure data integrity, accessibility, and regulatory compliance.

         Apply machine learning, data science, and computational biology techniques to investigate biological mechanisms and identify novel therapeutic targets.

         Support the design and implementation of laboratory informatics solutions, including database architecture, workflow automation, and user-centered software development.

         Establish standard operating procedures (SOPs) and quality assurance practices to enhance research rigor, reproducibility, and operational efficiency.

         Serve as a subject matter expert in computational biology and bioinformatics, providing consultation on study design, data analysis, and interpretation of high-dimensional biological datasets.

         Foster scientific collaborations across academic and clinical research programs to advance translational and precision medicine initiatives.

         Maintain awareness of emerging technologies, computational methods, and scientific literature to drive innovation and continuous improvement in research programs.

         Publish peer-reviewed research findings as first author and co-author in high-impact scientific journals.

         Contribute to institutional teaching, training activities, and educational programs related to bioinformatics, data science, computational biology, and biomedical research.

Work Location:

Remote - this role is eligible to work remotely, but the employee must be in the United States.

Why Join Us:

The University of Colorado Anschutz Medical Campus is a public education, clinical, and research facility serving 4,500 students and is a world-class medical destination at the forefront of life-changing science, medicine, and healthcare. CU Anschutz offers more than 42 highly rated degree programs through 6 schools and colleges and receives over $757 million in research awards each year. We are the single largest health professions education provider in Colorado, awarding nearly 1,450 degrees annually. Powered by our award-winning faculty, renowned researchers, and a reputation for academic excellence, the CU Anschutz Medical Campus drives innovation from the classroom to the laboratory to the delivery of unparalleled patient care.

Why work for the University?

We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:

  • Medical: Multiple plan options
  • Dental: Multiple plan options
  • Additional Insurance: Disability, Life, Vision
  • Retirement 401(a) Plan: Employer contributes 10% of your gross pay
  • Paid Time Off: Accruals over the year (based on percentage of time)
  • Vacation Days: 22/year (maximum accrual 352 hours)
  • Sick Days: 15/year (unlimited maximum accrual)
  • Holiday Days: 11/year
  • Tuition Benefit: Employees have access to this benefit on all CU campuses
  • ECO Pass: Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage.

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire.

         Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field

         Four (4) years of experience analyzing data using high-performance computing

Condition of Employment:

         Must successfully pass a drug test through Children's Hospital Colorado

         Must be willing and able to pass a national criminal background check

*For questions regarding Children's Hospital drug testing requirements, please contact Children's Human Resources at 720-777-8598. Some positions may require testing if access to Children's Hospital or their systems is needed at any time during employment with the University. If drug testing is required, it will be listed in the job posting.

Preferred Qualifications:

         3-5 years of demonstrated experience analyzing large-scale biological datasets, including RNA sequencing (RNA-seq), single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and other multiomics data platforms.

         Proficiency in programming and statistical computing, with advanced experience in R and Python, as well as familiarity with reproducible research tools, version control, Docker, and workflow automation.

         Strong record of scholarly productivity, including peer-reviewed publications as first author and/or co-author, scientific presentations, and contributions to collaborative research projects.

         Experience developing research software, databases, data visualization tools, or web-based applications that support scientific discovery, data management, and communication of research findings to diverse audiences.

Knowledge, Skills and Abilities:

         Expert knowledge of basic statistical principles relevant in medical research

         Expert ability to analyze and solve complex problems and apply quantitative analytical approaches

         Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C ) and willingness to learn new programming languages as necessary

         Familiarity with statistical analytical concepts and methods

         Ability to communicate effectively, both in writing and orally

How to Apply:

For full consideration, please submit the following document(s):

1.    A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position

2.    Curriculum vitae / Resume

3.    Five professional references including name, address, phone number (mobile number if appropriate), and email address

Applications are accepted electronically ONLY at www.cu.edu/cu-careers.

Questions should be directed to: Diane Hitchcock diane.hitchcock@cuanschutz.edu

Screening of Applications Begins:

Immediately and closes August 17, 2026.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as HIRING RANGE: $80,000 - $85,000

The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

This position is not eligible for overtime compensation unless it is non-exempt.

Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125

Equal Opportunity Statement:

The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

ADA Statement:

The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu.

Background Check Statement:

The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.

Vaccination Statement:

CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program. 


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