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Member of Technical Staff - Medical Research (Remote)

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Member of Technical Staff – Medical Research (Remote)
Location: Remote (Work from Anywhere) Job Type: Full-Time Salary: $350K – $500K/yr
Role Overview
We are hiring for one of our clients to fill the role of Member of Technical Staff – Medical Research, working on a full-time remote basis. This position involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals.
Key Responsibilities
- Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support.
- Collaborate with cross-functional teams (clinicians, data scientists, software engineers) to translate research into scalable solutions.
- Publish findings in academic journals and present results at conferences to advance medical research.
- Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.
- Contribute to the development of internal tools and frameworks that accelerate medical research workflows.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Skills & Qualifications
- PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field, with a focus on medical applications.
- Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data.
- Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with medical imaging data (MRI, CT, X-ray) and relevant toolkits (ITK, SimpleITK, MONAI).
- Strong publication record in peer-reviewed medical or AI research journals.
- Familiarity with healthcare data standards (DICOM, HL7) and compliance (HIPAA, GDPR).
- Ability to work in a fast-paced research environment with iterative development cycles.


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More About the Opportunity
This role offers the chance to work with a global leader in Biotechnology Research, driving breakthroughs in medical diagnostics and treatment optimization. It combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions.
Equal Opportunity Employer
We hire based on skills and expertise and welcome all qualified candidates regardless of background, experience, or prior employment. Applications are reviewed solely on demonstrated technical ability and qualifications.
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