At a Glance
- Tasks: Lead biotech data governance to ensure accuracy and compliance for AI training.
- Company: Join a forward-thinking biotech company shaping the future of AI in life sciences.
- Benefits: Fully remote, flexible hours, and the chance to work on impactful projects.
- Other info: Enjoy freelance autonomy with opportunities for ongoing work and career growth.
- Why this job: Make a real difference in AI-driven biotech research and innovation.
- Qualifications: Experience in data governance within biotech or regulated environments is essential.
The predicted salary is between 40 - 60 £ per hour.
What if your expertise in biotech and clinical data could directly shape how AI understands and works with life sciences research? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory filings, and advanced AI-driven analytics.
This is a fully remote, flexible contract role. If you have a strong background in data governance within regulated biotech or life sciences environments and a sharp eye for data quality, we want to hear from you.
What You'll Do
- Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for scientific analysis and regulatory submissions.
- Define and enforce data policies covering classification, access, security, and metadata across research, clinical, regulatory, and partner teams.
- Enable secure, governed access to data for analytics, innovation, and external collaborations while protecting confidential and patient-related information.
- Identify gaps in data quality and implement standards that support both scientific rigor and compliance requirements.
- Collaborate with scientific, IT, compliance, and business teams to align data workflows and governance frameworks.
- Support AI training initiatives by ensuring biotech datasets meet high standards of quality, integrity, and trustworthiness.
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments.
- Strong working knowledge of data privacy, security, and compliance expectations for research and clinical trial data.
- Able to bridge the gap between scientific, technical, and compliance stakeholders to drive consistent data standards.
- Detail-oriented and systematic — you understand that in regulated environments, the integrity of data is everything.
- Comfortable working independently and asynchronously in a remote, flexible setting.
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation workflows.
- Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, GCP, HIPAA, or GDPR as applied to clinical and research data.
- Background in bioinformatics, clinical data management, or research informatics.
- Experience working alongside AI or machine learning teams in a data stewardship capacity.
Why Join Us
- Work on cutting-edge AI and life sciences projects alongside leading research labs.
- Fully remote and flexible — work when and where it suits you.
- Freelance autonomy with the structure of meaningful, high-impact work.
- Contribute directly to AI initiatives where trustworthy biotech data makes better science possible.
- Potential for ongoing work and contract extension as new projects launch.
Remote Biotech Data Governance Lead for AI Training in Manchester employer: Alignerr
Alignerr is an exceptional employer for those passionate about biotech and AI, offering a fully remote and flexible work environment that empowers you to contribute to groundbreaking projects in life sciences. With a strong focus on employee autonomy and meaningful work, you'll have the opportunity to shape data governance standards that drive scientific discovery while enjoying the benefits of a supportive culture that values innovation and collaboration. Join us to be part of a team that prioritises high-quality data integrity and compliance, ensuring your expertise directly impacts the future of AI in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Biotech Data Governance Lead for AI Training in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the biotech and life sciences fields. Attend virtual meetups or webinars to get your name out there and show off your expertise in data governance.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of data privacy and compliance regulations. Be ready to discuss how you've tackled data quality issues in past roles, as this will show you're the right fit for the job.
✨Tip Number 3
Don’t forget to showcase your remote work skills! Highlight your ability to work independently and manage your time effectively, as this is crucial for a fully remote role like the one we're offering.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote Biotech Data Governance Lead for AI Training in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in biotech data governance. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!
Showcase Your Attention to Detail:Since this role is all about data accuracy and compliance, it’s crucial to demonstrate your meticulous nature. Use specific examples from your past work where you ensured data integrity or implemented quality standards.
Highlight Collaboration Skills:We’re looking for someone who can bridge gaps between different teams. Make sure to mention any experiences where you’ve successfully collaborated with scientific, IT, or compliance teams to enhance data governance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into our system quickly. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Alignerr
✨Know Your Data Governance Inside Out
Make sure you brush up on your knowledge of data governance principles, especially in biotech and life sciences. Be ready to discuss specific frameworks like FDA 21 CFR Part 11 or GDPR, as well as how you've implemented data policies in past roles.
✨Showcase Your Attention to Detail
In this role, accuracy and traceability are key. Prepare examples from your experience where your attention to detail made a significant impact on data quality or compliance. This will demonstrate your systematic approach to data governance.
✨Bridge the Gap Between Teams
Highlight your ability to collaborate with diverse teams, including scientific, IT, and compliance stakeholders. Share instances where you successfully aligned different perspectives to drive consistent data standards, showcasing your communication skills.
✨Prepare for AI-Related Questions
Since this role supports AI training initiatives, be ready to discuss your experience with AI datasets and any familiarity you have with data annotation or quality assessment. This will show that you understand the intersection of biotech and AI, which is crucial for the position.
