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$57.5K

$191.3K

$230.5K

How much do translational research director jobs pay per year?

As of Sep 11, 2026, the average yearly pay for translational research director in the United States is $191,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $229,000.00 per year, depending on experience, location, and employer.

What is a translational research director?

A Translational Research Director is a senior leader who oversees research projects that bridge the gap between laboratory discoveries and clinical applications in healthcare. They are responsible for guiding teams that translate basic scientific findings into new treatments, therapies, or medical technologies. This role often involves collaborating with scientists, clinicians, and regulatory bodies to ensure that promising research can be safely and efficiently advanced to benefit patients. Translational Research Directors also manage budgets, set strategic goals, and monitor the progress of projects from conception to implementation.

How does a translational research director collaborate with clinical and laboratory teams to advance research projects?

A Translational Research Director plays a pivotal role in bridging the gap between laboratory discoveries and clinical application. They frequently coordinate multidisciplinary teams, including scientists, clinicians, and regulatory experts, to ensure that research findings are efficiently moved from the bench to the bedside. This often involves overseeing collaborative meetings, aligning research goals with clinical needs, and facilitating communication between teams to address scientific, logistical, and regulatory challenges. Their leadership fosters an environment where innovative ideas can be translated into real-world therapies and interventions.

What are the key skills and qualifications needed to thrive as a translational research director?

To thrive as a Translational Research Director, you need advanced scientific expertise (often a PhD or MD), project management skills, and a strong background in clinical and preclinical research. Familiarity with laboratory information management systems (LIMS), clinical trial management software, and regulatory compliance certifications such as GCP are typically required. Excellent leadership, strategic communication, and cross-functional collaboration skills set top candidates apart in this role. These abilities are essential for effectively bridging the gap between laboratory discoveries and clinical application, ensuring successful translation of research into patient care.

What is the difference between Translational Research Director vs Clinical Research Manager?

AspectTranslational Research DirectorClinical Research Manager
Required CredentialsAdvanced degrees (PhD, MD), research experienceBachelor's or Master's in life sciences, clinical research experience
Work EnvironmentResearch institutions, biotech companies, academiaPharmaceutical companies, clinical trial sites, healthcare organizations
Employer & Industry UsageFocus on bridging lab research to clinical applicationOversees clinical trial operations and management

While both roles involve research and clinical settings, the Translational Research Director primarily focuses on transforming laboratory findings into clinical applications, requiring advanced research credentials. In contrast, the Clinical Research Manager manages the day-to-day operations of clinical trials, often with a background in clinical sciences. Understanding these differences helps in choosing the right career path or job search focus.

What cities are hiring for Translational Research Director jobs?

Cities with the most Translational Research Director job openings:

What states have the most Translational Research Director jobs?

States with the most job openings for Translational Research Director jobs include:

What are popular job titles related to Translational Research Director jobs?

For Translational Research Director jobs, the most frequently searched job titles are:

Infographic showing various Translational Research Director job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $191,320 per year, or $92 per hour.

Senior Principal Scientist / Assoc Director, Oncology Translational Research

Cambridge, MA • On-site

Novartis Group Companies
See more jobs at Novartis Group Companiesexternal

$107K - $137K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Job Description Summary

Location: Cambridge LI#Onsite
The Oncology Pathology and Biomarkers group within Oncology Translational Research at Novartis Biomedical Research is seeking an accomplished Imaging Scientist to join the Image Analysis team in Cambridge.
This role is for a scientific and technical leader with expertise in digital pathology, computational image analysis, AI/ML, and tissue-based oncology biomarkers. The successful candidate will develop and support scalable workflows for whole-slide pathology and multiplexed tissue imaging data.
The position will expand OPB's AI-enabled image analysis capabilities and deliver scalable solutions for digital pathology and translational biomarker assessment across oncology programs.
The scientist will support spatial analysis of tumor samples, help establish pipelines for RareCyte Orion high-plex imaging data, and strengthen harmonized HALO AI workflows across Cambridge and Basel.


Job Description

Key Responsibilities

Digital Pathology and Imaging Strategy

  • Develop and deploy scalable workflows for pathology whole-slide image acquisition, processing, analysis, and interpretation
  • Apply AI/ML and quantitative image analysis to address biological, translational, and biomarker questions in human and preclinical samples
  • Provide expertise in digital pathology, spatial analytics, and AI-enabled biomarker quantification across oncology programs
  • Evaluate emerging computational imaging approaches that strengthen OPB biomarker capabilities and decisional data delivery

HALO AI Support and Cross-Site Harmonization

  • Serve as a subject matter expert for HALO and HALO AI workflows and drive harmonization across Cambridge and Basel
  • Build robust, reproducible, and well-documented analytical processes that improve operational resilience and cross-site consistency
  • Improve image data organization, sharing, and best practices to support collaboration with Oncology Data Science, Data42, and enterprise AI initiatives

AI/ML-Enabled Image Analysis

  • Build, optimize, and apply AI/ML models and reproducible workflows for whole-slide, multiplexed, and high-plex tissue imaging
  • Use tools such as HALO and HALO AI for segmentation, classification, feature extraction, spatial analysis, and biomarker scoring
  • Translate image-derived outputs into clear biological insights that inform project decisions

High-Plex Imaging and RareCyte Orion Analysis

  • Develop and implement pipelines to process, analyze, visualize, and interpret RareCyte Orion and other high-plex imaging data
  • Partner with OPB scientists to define fit-for-purpose analytical approaches for multiplexed tissue imaging studies
  • Integrate high-plex imaging outputs with broader biomarker and translational datasets
  • Establish quality control, documentation, and reporting standards that support innovative use of multiplexed imaging in oncology

Cross-Functional Collaboration and Impact

  • Partner with scientists, pathologists, physician-scientists, computational biologists, data scientists, and project teams to design, analyze, and interpret tissue-based studies
  • Engage across Oncology Translational Research and broader Novartis Biomedical Research to identify stakeholder needs, address workflow gaps, and implement practical solutions
  • Communicate image analysis strategies, recommendations, and findings clearly to multidisciplinary teams while contributing to a collaborative culture of scientific excellence and innovation
Essential requirements
  • This is a dual posting. The final level of the offered role will be determined by the hiring team based on the skills, experience, and capabilities required to perform the role at the offered level.
  • PhD or MS in biology, bioinformatics, biomedical engineering, computational biology, data science, pathology, or a related field
  • Minimum 5 years of industry experience
  • Significant experience in digital pathology, computational image analysis, imaging data science, translational oncology, or tissue-based biomarker research
  • Expertise with image analysis tools such as HALO and experience developing, implementing, and applying AI/ML models to tissue images
  • Demonstrated success applying advanced imaging solutions to pathology and translational research workflows, including high-resolution whole-slide and gigapixel image datasets
  • Strong understanding of tissue-based biomarker development, oncology biology, and translational research
  • Strong organizational, communication, and problem-solving skills, with the ability to engage stakeholders, identify process gaps, and drive next steps
  • Ability to work effectively in multidisciplinary, matrixed teams and contribute in a collaborative, innovative, and self-directed way
Desirable Qualifications
  • Background in cancer biology, immuno-oncology, radioligand therapy, spatial biology, or tumor microenvironment biology
  • Experience supporting oncology drug discovery or early clinical development with image-based biomarker strategies and spatial scoring approaches for pharmacodynamic, indication, isotope, or patient selection decisions
  • Familiarity with RareCyte Orion or other multiplexed/high-plex tissue imaging platforms, including machine learning and computational methods for tissue image analysis
  • Proficiency in Python or R
  • Experience harmonizing digital pathology workflows across sites, teams, or software environments, with familiarity in image data centralization, digital pathology infrastructure, FAIR principles, or enterprise data platforms
  • Experience collaborating with oncology data science, informatics, translational medicine, or enterprise AI teams
  • Scientific visibility through publications, presentations, or collaborations in digital pathology, oncology biomarkers, image analysis, or spatial biology

Novartis Compensation and Benefit Summary:

The salary for this position is expected to range between $138,600.00 - $257,400.00 USD Annual per year.

The final salary offered is determined based on factors like, but not limited to, relevant skills and

experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published

salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the

role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and

disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In

addition, employees are eligible for a generous time off package including vacation, personal days,

holidays and other leaves.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$138,600.00 - $257,400.00


Skills Desired

Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Research, Clinical Trials, Collaboration, Communication Skills, Curious Mindset, Data, Data Analysis, Decision Making, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy- Leadership, Influence, Laboratory, Lifesciences, Machine Learning (ML), Medical Research, Mentorship {+ 11 more}

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