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The Neuroscience Graduate Program based in the department is the first PhD program in neuroscience in Texas. Tenure-Track Faculty Opportunities- The Department of Translational Neuroscience in the ...

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Phd Translation information

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$27.5K

$57.2K

$87.5K

How much do phd translation jobs pay per year?

As of Sep 12, 2026, the average yearly pay for phd translation in the United States is $57,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $57,500.00 per year, depending on experience, location, and employer.

What is a PhD in translation?

A PhD in Translation is a doctoral degree focused on advanced research in translation studies, including theory, methodology, and practice. Students in this program typically explore topics such as translation theory, intercultural communication, linguistics, and the use of technology in translation. Graduates often pursue academic careers, research positions, or leadership roles in translation and localization industries. The degree usually requires original research culminating in a dissertation that contributes new knowledge to the field.

What are typical research and collaboration opportunities for a PhD in translation within academic or professional settings?

PhD holders in Translation often engage in interdisciplinary research, working alongside linguists, literary scholars, or experts in technology to explore new translation theories or tools. Collaborative projects may include co-authoring papers, participating in international conferences, or consulting on large-scale translation initiatives. These roles frequently involve mentoring graduate students, contributing to curriculum development, and building partnerships with industry or translation agencies. Such collaboration not only enriches research but also opens pathways to leadership or specialized academic positions.

What are the key skills and qualifications needed to thrive as a PhD-level translator, and why are they important?

To thrive as a PhD-level Translator, you need advanced proficiency in at least two languages, deep subject-matter expertise, and a doctoral degree in translation studies or a related field. Familiarity with computer-assisted translation (CAT) tools, terminology databases, and research methodologies is typically required. Exceptional attention to detail, cultural sensitivity, and strong analytical and communication skills distinguish top performers in this role. These abilities ensure accurate, contextually appropriate translations and contribute to academic or professional credibility.

What is the difference between Phd Translation vs Translator?

AspectPhd TranslationTranslator
Required CredentialsPhD in Translation, Linguistics, or related fieldTypically a bachelor's or master's degree, certification optional
Work EnvironmentAcademic, research, or specialized industry settingsFreelance, corporate, or agency-based translation work
Industry UsageAcademic publishing, research projects, specialized industriesBusiness, legal, medical, technical, general translation

While both roles involve language skills, a Phd Translation usually requires advanced academic credentials and focuses on research or specialized fields. A Translator may have less formal education but is more involved in day-to-day translation tasks across various industries.

What jobs can I do with a Phd in translation?

A PhD in translation prepares individuals for advanced roles such as translation project manager, language consultant, or academic researcher in linguistics. Graduates can also work as language editors, localization specialists, or university professors, often requiring strong language skills, cultural knowledge, and familiarity with translation tools like CAT software.
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Phd Translation jobs near you
Infographic showing various Phd Translation job openings in the United States as of September 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $57,200 per year, or $27.5 per hour.

Data Scientist - Innovation - PhD

Irving, TX • On-site

Caris Life Sciences
See more jobs at Caris Life Sciencesexternal

Full-time

Re-posted 6 hours ago

Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
Want to help build AI models for the next generation of cancer diagnostics? The models you build here have direct line-of-sight to translational research and clinical decision-making -- work with the potential to shape how cancer is detected, profiled, and treated. As a Data Scientist on the Innovation Team, you will develop machine learning and deep learning algorithms on molecular sequencing data (WGS, WES, RNA-seq, cfDNA), design analytic pipelines for novel biomarker discovery, and tackle the most challenging problems in liquid biopsy and translational oncology research.
About the Team
The Innovation Team is a small, fast-moving R&D group within Caris Life Sciences, drawing on proprietary clinical research data that no other team in oncology can match. We work closely with bioinformaticians, molecular biologists, and clinical scientists to develop high-impact AI models with the potential to shift the landscape of clinical outcomes. You will have the freedom to lead research projects end-to-end -- from problem framing to deployment -- and to shape the methods that drive Caris' R&D agenda. In your first year, success looks like leading one or two research projects from problem framing through deployment, contributing to a peer-reviewed publication or conference submission, and helping shape methods that inform Caris' diagnostic platform.
Job Responsibilities
  • Processing, manipulating, and analyzing large diverse datasets generated from NGS to develop biomarkers for cancer diagnosis, prognosis, and treatment.
  • Developing novel algorithms for feature extraction and biomarker discovery from molecular sequencing data.
  • Applying first-principles analysis to translate open research questions into tractable, well-defined problems.
  • Applying state-of-the-art machine learning and deep learning methods to biological and clinical research questions.
  • Creating rigorous evaluation frameworks and tracking experiments systematically using tools such as MLflow or Weights & Biases.
  • Authoring peer-reviewed research publications and presenting findings at scientific conferences.

Required Qualifications
  • PhD in Data Science, Bioinformatics, Computational Biology, Genomics, Statistics, Computer Science, Engineering, Biophysics, or a related quantitative or biological field.
  • PhD recently completed, or up to approximately 2 years of post-doctoral research experience (academic or industry).
  • Demonstrated work on a cancer biology or translational research problem (PhD thesis chapter, peer-reviewed publication, or postdoc / industry role).
  • Hands-on experience with molecular sequencing data (e.g., WGS, WES, RNA-seq, cfDNA) including production-grade pipelines and analysis.
  • Hands-on experience with generative AI -- large language models, foundation models (e.g., genomic or protein language models), or agentic workflows applied to scientific or clinical data.
  • Proficiency with PyTorch and modern deep learning architectures (transformers, attention mechanisms), with demonstrated application of ML/DL to biological or clinical data.
  • First-author or co-first-author peer-reviewed publications in machine learning venues (e.g., NeurIPS, ICML, ICLR) or in bioinformatics / computational biology journals.
  • Strong Python; comfortable in Linux; proficient with git and collaborative workflows.

Preferred Qualifications
  • Multi-omics integration experience (genomics, transcriptomics, proteomics, methylation, etc.).
  • Experience with epigenetics -- DNA methylation analysis, chromatin biology, or related.
  • Interest in cell-free DNA, liquid biopsy, and next-generation early cancer diagnostics.
  • Interest in novel algorithm development for biomedical signal extraction in sequencing data.
  • Proficiency in cloud platforms (AWS EC2, S3, HealthOmics) and containerization (Docker).

Physical Demands
  • This role primarily involves sedentary work at a computer workstation, including extended periods of typing, reading screens, and virtual or in-person collaboration. Caris provides reasonable accommodations to qualified individuals with disabilities; candidates who need accommodation during the application or interview process are encouraged to contact Caris HR.

Training
All job-specific, safety, and compliance training are assigned based on the job functions associated with this employee.
Other
  • This position is on-site in Irving, TX. The team operates on a fast-iteration research cycle that benefits from close, in-person collaboration.
  • Relocation assistance may be available for qualified candidates.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

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