ABOUT PH

Picture Health creates multimodal AI imaging biomarkers that accelerate oncology research and drug development. Our Px Platform integrates radiomics and pathomics to extract biologically interpretable features from routine scans and slides—powering patient stratification, early response assessment, and predictive endpoints. We partner with leading academic medical centers, biopharma, and CROs to bring better therapies to patients faster. We are a fast‑growing, mission‑driven team headquartered in Cleveland with a hybrid/remote culture. If you are passionate about translating AI into patient impact, come build with us.

ROLE SUMMARY

You will support our academic research collaborations and internal teams by coordinating the logistics, documentation, and day‑to‑day tasks that move datasets from request to analysis‑ready—quickly, accurately, and safely. You will also be responsible for patient data ingestion—setting up data transfers, keeping trackers current, running quality checks, and processing data to ensure collaborators and internal teams have what they need to keep work moving at startup speed.

WHAT YOU WILL DO

• Manage the relationship and procurement process with data providers, which may include pharmaceutical companies, academic collaborators and real-world-data providers. 
• Coordinate data requests and intake: draft checklists and specifications, align on timelines, and confirm completeness against study objectives. Research and identify relevant datasets from public sources and partners.
• Obtain DUAs and IRBs from drafting, reviewing, editing and final approvals. 
• Manage the secure data transfer process with academic, clinical, and pharmaceutical partners as well as public datasets and RWD vendors.
• Prepare for and verify data receipt: perform basic QC, confirm de‑identification, standardize file naming/structures, and fill in required metadata.
• Maintain organized source‑of‑truth trackers for datasets, lineage, versioning, and use restrictions; ensure traceability from raw files to analysis packages.
• Support annotation workflows: schedule sessions with clinicians, prepare labeling guidelines/materials, track progress, and perform spot‑checks for consistency.
• Coordinate meetings and communications: schedule, circulate agendas, capture notes/action items, and follow up to closure.
• Compile regular status summaries for internal teams; flag risks and blockers early with clear options to resolve.
• Collaborate with AI/ML, biostatistics, and data engineering to confirm data readiness and align handoffs to ingest and analysis.
• Identify potential data vendors and evaluate data sets against internal project needs. 
• Learn new data and collaboration tools quickly and operate at an administrator level once trained; suggest improvements to increase speed and quality.
• Contribute lightweight templates and documentation that make recurring tasks faster while maintaining flexibility for disparate collaborations and data types.
  
  

REQUIRED QUALIFICATIONS

• Bachelor’s degree in a relevant field such as Biology, Molecular Biology, Biomedical Engineering, Bioinformatics, Data Science, or a related discipline.
• Two to five years of experience in research coordination or research data operations at an oncology center, academic medical center, or similar environment.
• Hands‑on experience collecting, abstracting, entering, and QA/QC‑ing oncology research data (clinical variables and/or imaging files) with strong attention to detail and documentation.
• Hands-on experience with medical imaging data (e.g., radiology and pathology) and basic data wrangling.
• Working knowledge of research governance and privacy (HIPAA, IRB approvals, DUAs) and the basics of secure data transfer.
• Proficiency with spreadsheets and comfort learning new tools quickly to an administrator level.
• Strong organization, written communication, and stakeholder coordination skills; proven reliability in meeting deadlines across multiple projects.
• Bias for action and resolving ambiguity while operating at startup speed.
  
  

IDEAL QUALIFICATIONS

• Experience coordinating multi‑site academic collaborations and/or managing external vendors for data acquisition or annotation.
• Familiarity with oncology clinical terminology and the flow of information in clinical or observational research.
• Scripting or SQL experience is a plus but not required.
• Track record improving a process or creating simple templates that reduce turnaround time and errors.
  
  

WHAT SUCCESS LOOKS LIKE IN SIX MONTHS

• Multiple collaborations have delivered complete, analysis‑ready datasets with clear documentation and provenance.
• Average cycle time from data request to analysis‑ready delivery has decreased through better coordination and practical workflow improvements.
• Clean, reliable trackers and templates are adopted by teammates and embedded in our platform workflows.
  
  

POSITION DETAILS

• Employment: Full-time.
• Location: Hybrid in Cleveland, Ohio preferred; remote within the United States considered. Periodic travel for off-sites and collaborator meetings.
• Compensation: Base salary $50,000–$75,000 (location- and experience-adjusted) plus equity. Competitive medical benefits and flexible paid time off.
  
  

HOW TO APPLY

Apply below or send your resume and a brief note about your most relevant academic collaboration and data‑operations experience to careers@picturehealth.com