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Translational Research Jobs (NOW HIRING)

The ACTRI Translational Research Hub (TRH) encompasses the Bridging translational Research Infrastructure, Data analytics, and Genomics (BRIDGE) lab & Center for Computational Biology and ...

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Translational Research information

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$30K

$58.7K

$95K

How much do translational research jobs pay per year?

As of Jul 10, 2026, the average yearly pay for translational research in the United States is $58,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is a Translational Research job?

A Translational Research job focuses on bridging the gap between laboratory research and real-world medical applications. Professionals in this field work to turn scientific discoveries into new treatments, therapies, or medical technologies. This involves collaboration between researchers, clinicians, and regulatory bodies to ensure innovations reach patients efficiently. Roles often require expertise in biomedical sciences, clinical research, and regulatory requirements.

What are the career paths in translational medicine?

Career paths in translational research include roles such as research scientist, clinical research coordinator, regulatory affairs specialist, and medical science liaison. These positions often require a background in biomedical sciences, strong analytical skills, and familiarity with laboratory techniques, clinical trial processes, and regulatory guidelines.

What are the typical career advancement opportunities for someone working in Translational Research?

Professionals in Translational Research often start as research associates or coordinators and can advance to roles such as principal investigator, project manager, or director of research, depending on their experience and education. Many also transition into leadership positions within academia, healthcare organizations, or the pharmaceutical and biotechnology industries. With the growing emphasis on precision medicine and collaborative healthcare, there are expanding opportunities to specialize in areas like regulatory affairs, clinical trials management, or scientific communications. Advancement typically involves developing a strong publication record, securing grant funding, and building interdisciplinary networks.

How to get into translational research?

To enter translational research, candidates typically need a strong background in biomedical sciences, often holding a master's or doctoral degree in fields like biology, medicine, or related areas. Gaining experience through research internships, developing skills in laboratory techniques, data analysis, and understanding of clinical applications are important steps. Familiarity with regulatory requirements and collaboration with multidisciplinary teams also enhance prospects in this field.

What is the highest paid research field?

In translational research, the highest paid fields are often those focused on biomedical sciences, such as pharmaceutical development and personalized medicine, especially in roles requiring advanced degrees and specialized skills. Senior researchers and those working in industry or private sector labs tend to earn higher salaries compared to academic positions.

What are the key skills and qualifications needed to thrive in the Translational Research position, and why are they important?

To thrive in Translational Research, you typically need a strong background in biomedical sciences, clinical research methodologies, and data analysis, often with an advanced degree such as a PhD or MD. Familiarity with laboratory techniques, statistical software (like SPSS or R), and regulatory compliance systems (such as IRB processes) is highly valuable. Excellent project management, critical thinking, and communication skills help professionals excel in collaborative, multidisciplinary environments. These capabilities are essential because Translational Research bridges laboratory discoveries and patient care, requiring rigorous science, teamwork, and effective communication to move innovations into clinical practice.

What does a translational researcher do?

A translational researcher conducts studies to apply laboratory findings to clinical settings, bridging the gap between basic science and patient care. They analyze data, develop new therapies or diagnostics, and often collaborate with multidisciplinary teams using tools like laboratory experiments and clinical trials.
More about Translational Research jobs
What cities are hiring for Translational Research jobs? Cities with the most Translational Research job openings:
What states have the most Translational Research jobs? States with the most job openings for Translational Research jobs include:
Infographic showing various Translational Research job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $58,746 per year, or $28.2 per hour.

Associate Director - ACTRI Translational Research - 140254

UC San Diego Health

On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


UC San Diego Health rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

2nd of 880 rated healthcare providers


Job description

UCSD Layoff from Career Appointment: Apply by 6/30/2026 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Reassignment Applicants: Eligible Reassignment clients should contact their Disability Counselor for assistance.

This position will work a hybrid schedule which includes a combination of working both onsite 1-2 days per week at ACTRI (La Jolla, CA) and remote.

DESCRIPTION

The Altman Clinical and Translational Research Institute (ACTRI) is an NIH-funded Clinical and Translational Science Award (CTSA) institution that provides the infrastructure to support high-quality and innovative translational research. ACTRI's vision is to translate scientific discoveries into improved health by delivering education, training, and infrastructure for clinical research in the San Diego area and beyond. Mike Hogarth, M.D. and Davey Smith M.D. are the principal investigators on ACTRI's CTSA grant. The ACTRI functions under the direction of Dr. Smith, M.D., Director and Assistant Vice Chancellor of Clinical and Translational Research at UC San Diego.

The ACTRI Translational Research Hub (TRH) encompasses the Bridging translational Research Infrastructure, Data analytics, and Genomics (BRIDGE) lab & Center for Computational Biology and Bioinformatics (CCBB) to advance biomarker services, computational genomics, bioinformatics support and infrastructure at UCSD Health Sciences. TRH fosters translational research community collaborations by educating clinicians, researchers, and trainees in biospecimen acquisition, processing, biobanking, and multi-omics technologies. TRH provides study design consultations for investigators, biobanking services, genomics-optimized sample processing, data management and bioinformatics support. TRH offers services in data analysis and biological interpretation as well as vouchers to support early-stage projects.

The ACTRI TRH CCBB Associate Director reports to the TRH Director and provides vision and thought leadership for CCBB. The role is critical for maintaining day-to-day CCBB operations, with oversight of project goals, timelines, and deliverables. Provide scientific consultations for new projects, participate in business development, and provide scientific guidance for ongoing projects, study design, grant writing, and drive development and application of statistical methods for integrated analysis of large-scale bioinformatics datasets. Maintain and develop long-term collaborations. Support and spearheads collaborative grants, to bring in more diverse funding to support CCBB staff. Gives technical presentations to associated research and technology groups and management. May represent the organization as part of a team at national and international meetings, conferences and committees.

Generally the role will be responsible for maintaining a vibrant, leading edge vision for laboratory & biobanking support, computational genomics, bioinformatics support and infrastructure at UCSD Health Sciences. Receives assignments in the form of objectives and determines how to use resources to meet schedules and goals. Review and approve recommendations for HPC /Data / CI research, development and technology programs and initiatives. Provides guidance to subordinates to achieve research and technology goals in accordance with established policies.

Receives assignments in the form of objectives and determines how to use resources to meet schedules and goals. Reviews and approves recommendations for HPC /Data / CI research, development and technology programs and initiatives. Provides guidance to subordinates to achieve research and technology goals in accordance with established policies. Erroneous decisions or failure to achieve goals results in additional costs and personnel, and delays in overall schedules of research and development projects.

MINIMUM QUALIFICATIONS
  • Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience.

  • Seven (7) or more years of relevant experience.

  • Two-five years of experience managing in a research organization.

  • Proven ability to lead a technical staff of HPC / Data / CI and / or scientific personnel, including projects performed by multiple developers.

  • Broad knowledge of research and development methods, HPC hardware and software power and performance analysis and research, design, modification, implementation and deployment of HPC or data science or CI applications and tools.

  • Proven ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.

  • Proven experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base.

  • Proven ability to initiate research proposals and acquire funding.

  • Proven research and technology project leadership and management skills.

  • Demonstrated knowledge about research centers and systemwide protocols and procedures for budget and account management.

  • Verbal and written communication, quantitative abilities, strong analytical skills.

  • Thorough knowledge of subject area for strategic planning, research and technology assessment and direction.

  • Experience in the management of ongoing HPC / Data / CI technology infrastructure acquisition and expansion, to include the identification and integration of emerging hardware and software technologies.

  • Proven critical thinking, persuasion/negotiation, conflict resolution, mentoring and staff development, supervision, problem solving, human resources policies and procedures relating to management responsibilities.

PREFERRED QUALIFICATIONS
  • Ph.D. in biology, bioinformatics, statistics or a related field, preferred.

  • Demonstrated ability to foster collaboration, build partnerships, and communicate effectively across diverse stakeholders.

  • Working knowledge of key issues and concepts in translational research and translational science.

SPECIAL CONDITIONS
  • Must be able to work various hours and locations based on business needs. Occasional evenings and weekends may be required.
  • Employment is subject to a criminal background check.

Pay Transparency Act

Annual Full Pay Range: $132,600 - $259,800 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $63.51 - $124.43

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).


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