Application support engineer volunteer roles
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Actively Interviewing
This organisation is scheduling interviews as applications come in. They're ready to hire as soon as they find the right person. Don't miss your opportunity, apply now!
MednTech
We provide an Android AI tool that analyzes cervical images to support frontline screening decisions.
Synthetic Data Engineer-Medical Imaging
About MedNTech
MednTech is a nonprofit organization developing AI-powered tools to improve early detection of cervical cancer and expand access to care in underserved communities, particularly in Africa. It works by equipping frontline healthcare providers with accessible technology and partnering with local health systems to improve outcomes and empower patients. We have already implemented our diagnostic model in real-world settings in Rwanda. We are now looking to further improve its performance and robustness before our next deployment, and are currently seeking volunteers to support this initiative.
Why Volunteer With Us
We are early-stage, moving fast, and building something that matters. You will have real ownership over technical decisions that directly shape a tool going into the field. Cervical cancer is one of the most preventable cancers in the world, yet it remains a leading cause of cancer death in low-resource settings simply because screening does not reach the people who need it. The tool you help build changes that. If you want your code to save lives, this is that opportunity!
Role Overview
We are looking for a data professional to design and implement synthetic data generation pipelines. These images will be used to augment limited cervical image datasets and improve the robustness of our cervical cancer screening model.
Key Responsibilities
- Develop synthetic image pipelines using diffusion models (Stable Diffusion, DreamBooth, LoRA) or GAN-based approaches
- Generate class-balanced datasets, particularly for underrepresented abnormal cases
- Design and run experiments comparing real vs synthetic vs hybrid datasets
- Evaluate synthetic data quality using FID, KID, and downstream model performance
- Implement prompt engineering and conditioning strategies for medically realistic outputs
- Perform domain gap analysis between real and synthetic data
- Collaborate with ML engineers to integrate synthetic data into training pipelines
Required Skills
- Experience with PyTorch and Hugging Face Diffusers or GAN frameworks
- Strong understanding of data augmentation vs synthetic generation tradeoffs
- Experience evaluating generative models (FID, distribution alignment)
- Familiarity with medical imaging challenges (preferred but not required)
Preferred Qualifications
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Experience with GAN based models and LoRA fine-tuning pipelines
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Prior work with imbalanced or medical datasets
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Understanding of bias in synthetic data
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All roles are highly collaborative and will work closely across the MednTech AI pipeline
-
Experience with healthcare AI, low-resource environments, or global health applications is a strong plus
-
Candidates should be comfortable working in fast-paced, early-stage environments
Minimum Hours per Week:
4-6 hours per week
Duration:
One-off project
Non Charity Employer
6 - 10
We connect professionals with impact startups matching their causes, skills & schedule.
The client requests no contact from agencies or media sales.
Thank you!
Honorary Treasurer (Trustee)
Foundation for Science and Technology
The Foundation for Science and Technology is at the heart of the UK’s science and technology policy landscape. For nearly 50 years, we have provided an independent platform bringing together Parliamentarians, civil servants, industry leaders, researchers and charities to explore the most pressing issues shaping the future of science, innovation and public policy.
From artificial intelligence and quantum technologies, to net zero, research culture and skills, the Foundation convenes informed, cross-sector debate and supports the development of future leaders across the UK science and technology ecosystem.
As we approach our 50th anniversary in 2027, we are seeking an Honorary Treasurer to join our Trustee Board and play a key role in supporting the Foundation’s continued impact and sustainability.
The role
As Honorary Treasurer, you will be a full member of the Trustee Board, sharing collective responsibility for the governance and strategic direction of the Foundation.
This is a non-executive role, focused on governance, oversight and constructive challenge. As a trustee, you will contribute to the stewardship of the Foundation, helping to ensure its financial sustainability, integrity and long-term success.
In addition to your general responsibilities as a trustee, you will:
- Provide oversight and assurance on the Foundation’s financial position, ensuring appropriate controls and compliance with charity law and good practice
- Support the Board in scrutinising financial reporting, including budgets, forecasts and annual accounts
- Offer insight and constructive challenge on financial planning, risk and long-term sustainability
- Contribute to Board-level thinking on income generation, including sponsorship and grants
- Act as a source of financial insight and support to fellow trustees and the Chief Executive
About you
You will bring:
- Senior financial expertise, whether from accountancy, finance leadership or equivalent experience
- Experience of financial oversight and governance
- An understanding of, or interest in, the charity sector
- The ability to work effectively as part of a Board, providing both support and appropriate challenge
- An interest in science, technology, research or innovation policy
Just as importantly, you will bring sound judgement, curiosity and a collaborative approach, with the ability to see both detail and the wider strategic picture.
Time commitment
Approximately three hours per month, plus attendance at three Board meetings per year, typically in London.
Why join us
This is an opportunity to contribute to an organisation that sits at the interface of science, technology and public policy in the UK, helping to ensure that important decisions are informed by evidence, insight and cross-sector collaboration.
The client requests no contact from agencies or media sales.
Thank you!
Actively Interviewing
This organisation is scheduling interviews as applications come in. They're ready to hire as soon as they find the right person. Don't miss your opportunity, apply now!
MednTech
We provide an Android AI tool that analyzes cervical images to support frontline screening decisions.
Data Preprocessing Model Specialist-Input Quality & Standardization
About MednTech
MednTech is a nonprofit organization developing AI-powered tools to improve early detection of cervical cancer and expand access to care in underserved communities, particularly in Africa. It works by equipping frontline healthcare providers with accessible technology and partnering with local health systems to improve outcomes and empower patients. We have already implemented our diagnostic model in real-world settings in Rwanda. We are now looking to further improve its performance and robustness before our next deployment, and are currently seeking volunteers to support this initiative.
Why Volunteer With Us
We are early-stage, moving fast, and building something that matters. You will have real ownership over technical decisions that directly shape a tool going into the field. Cervical cancer is one of the most preventable cancers in the world, yet it remains a leading cause of cancer death in low-resource settings simply because screening does not reach the people who need it. The tool you help build changes that. If you want your code to save lives, this is that opportunity!
Role Overview
Your role will be to aid design and implement a preprocessing model that ensures all incoming cervical images meet strict quality and consistency standards before being passed into downstream models.
Our cervical cancer screening method is dependent on pictures taken using a smartphone, leading to large variation in lighting and cervix positions in the image. On top of natural variances in fluid blockages or rotation and angle or cervix, it’s important that only valid images are run through our model.
Key Responsibilities
- Build automated checks for:
- Lighting normalization
- Blur and focus detection
- Angle and framing validation
- Specular reflection handling
- Develop preprocessing models or heuristics to:
- Enhance image quality (contrast, de-noising)
- Standardize image format, resolution, and scale
- Implement image rejection and acceptance criteria pipeline
- Create a quality scoring system for input images
- Collaborate with CV and ML engineers to optimize preprocessing impact on performance
- Optimize preprocessing for real-world noisy data (mobile capture, low-resource settings)
Required Skills
- Strong background in computer vision fundamentals
- Experience with OpenCV, PIL, or similar image processing libraries
- Understanding of image quality metrics
- Experience building automated data validation pipelines
Preferred Qualifications
-
Experience with medical image preprocessing
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Familiarity with variability across capture devices and environments
-
All roles are highly collaborative and will work closely across the MednTech AI pipeline
-
Experience with healthcare AI, low-resource environments, or global health applications is a strong plus
-
Candidates should be comfortable working in fast-paced, early-stage environments
Minimum Hours per Week:
4-6 hours per week
Duration:
One-off project
Non Charity Employer
6 - 10
We connect professionals with impact startups matching their causes, skills & schedule.
The client requests no contact from agencies or media sales.