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What are the key skills and qualifications needed to thrive as a data science PhD?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
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Data Science Phd jobs near you
Infographic showing various Data Science Phd job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Image Data Scientist-Center for Bioimage Informatics

St. Jude Children's Research Hospital, Inc.

Memphis, TN • On-site

$86.32 - $154.96/hr

Other

Re-posted 25 days ago

St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

40th of 1,055 rated hospitals

Job description

Overview

The Center for Bioimage Informatics at St. Jude Children's Research Hospital is seeking a Senior Image Data Scientist to design, develop, validate, document, and operate image-analysis pipelines and visualization solutions for biomedical imaging research. The role works closely with investigators, software engineers, data scientists, imaging facility scientists, and biostatisticians to translate scientific questions into reproducible, scalable analysis workflows using modern image analysis, statistical, computer vision, and machine learning approaches.

Responsibilities
  • Design, develop, validate, document, and operate image‑analysis pipelines and visualization solutions.
  • Support image data management and maintain analysis software and repositories.
  • Evaluate new methods and tools, and provide technical consultation and training to research teams.
  • Serve as a project lead to coordinate image‑analysis efforts and align related projects.
  • Contribute to shared CBI infrastructure that supports routine and advanced bioimage analysis.
Applicant Statement

Applicants are encouraged to include a brief cover letter or supplemental statement with a link to representative work, such as a public repository, napari plugin, published pipeline, or comparable artifact. The statement should briefly describe one end‑to‑end image‑analysis project or software tool the applicant has owned in production, including the biological or scientific question, data scale, methods or model used, pipeline design, validation approach, user adoption, and resulting impact.

Preferred Qualifications
  • PhD in a relevant quantitative, computational, biomedical, or scientific field.
  • Experience developing, validating, and maintaining image‑analysis pipelines for biological or medical imaging data.
  • Strong programming skills in Python and experience with modern computer vision, machine learning, deep learning, or statistical image‑analysis methods.
  • Experience with emerging AI methods relevant to bioimage analysis (vision transformers, foundation models, generative AI, large language models, or agentic AI tools).
  • Experience with scalable and reproducible scientific workflows (e.g., Snakemake, Nextflow), containers, version control, and HPC or cloud environments.
  • Demonstrated experience using modern bioimaging tools, data standards, and open‑source ecosystems such as napari, ImageJ/Fiji, Cellpose, SAM‑family and related foundation segmentation models, QuPath, BioFormats, OME‑Zarr/NGFF, or similar platforms.
  • Experience with large image data volumes, image data management, quality control, benchmarking, annotation strategies, and method evaluation.
  • Demonstrated ability to collaborate with research teams, communicate technical results clearly, write user‑facing documentation, and provide training through courses, workshops, seminars, or similar formats.
  • Evidence of technical leadership (leading multi‑lab projects, contributing to shared infrastructure, publishing methods, or contributing to open‑source scientific software).
Minimum Education and Training
  • Bachelor's degree in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering, or related field (required).
  • Master's degree preferred.
Minimum Experience
  • 3+ years of work experience in a relevant area for a Bachelor's degree, or 1+ years of relevant experience for a Master's degree.
  • Experience in image analysis, image data management, and programming (Python, R, Matlab, Java, C/C++).
  • Experience in image analysis platforms (ImageJ/Fiji, CellProfiler), scientific computing, scientific data visualization, code optimization and evaluation in an HPC environment, development of algorithms, statistical methods or scientific software, working with large image data volumes, biological/medical imaging preferred.
  • Proven performance in an earlier or comparable role.
Compensation

Estimated salary range for this role is $86,320 - $154,960 per year.

Equal Opportunity Employer

St. Jude is an Equal Opportunity Employer.

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