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For Companies At a Glance
- Tasks: Design and optimise data pipelines for cutting-edge AI in precision medicine.
- Company: Alignerr, a leader in AI research collaboration.
- Benefits: Competitive pay, flexible remote work, and freelance perks.
- Why this job: Lead innovative AI projects and make a real impact in healthcare.
- Qualifications: Experience with large-scale healthcare datasets and strong data integration skills.
- Other info: Join a dynamic team with potential for contract extension.
The predicted salary is between 30 - 60 £ per hour.
About The Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
Organization: Alignerr
Position: Precision Medicine Data Lead
Type: Hourly Contract
Compensation: $40–$80 /hour
Location: Remote
Commitment: 10–40 hours/week
Responsibilities
- Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms.
- Lead analytical strategies that convert integrated datasets into actionable insights for research, clinical decision support, and precision medicine initiatives.
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and alignment between data strategy and organizational goals while clearly communicating results to stakeholders.
Qualifications
- Experience working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles.
- Strong background in data integration, data governance, and translating complex data into meaningful insights for scientific or clinical audiences.
- Ability to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments.
- Prior experience with data annotation, data quality, or evaluation systems (preferred).
Why Join Us
- Competitive pay and flexible remote work.
- Lead a team working on cutting-edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Precision Medicine Data Lead in Oxford employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Precision Medicine Data Lead in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the precision medicine field on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Showcase your skills! Create a portfolio or a project that highlights your experience with large-scale healthcare datasets. This can be a great conversation starter during interviews and shows you mean business.
✨Tip Number 3
Prepare for the interview by brushing up on the latest trends in AI and precision medicine. Being knowledgeable about current developments will impress your interviewers and show your passion for the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we review applications daily, so you won’t be left waiting too long!
We think you need these skills to ace Precision Medicine Data Lead in Oxford
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience with large-scale healthcare and genomic datasets. We want to see how your background aligns with the role of Precision Medicine Data Lead, so don’t be shy about showcasing relevant projects!
Showcase Your Analytical Skills: In your application, emphasise your ability to convert complex data into actionable insights. We’re looking for someone who can lead analytical strategies, so share examples of how you've done this in past roles.
Communicate Clearly: Since collaboration is key, make sure your application reflects your communication skills. We need someone who can clearly convey results to stakeholders, so include any experiences where you’ve successfully communicated complex information.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we review applications daily, so you won’t be waiting long!
How to prepare for a job interview at Alignerr
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of healthcare, genomic, and life sciences datasets you’ll be working with. Brush up on your data integration and governance knowledge, as you might be asked to explain how you would handle complex datasets during the interview.
✨Showcase Your Analytical Skills
Prepare to discuss specific analytical strategies you've implemented in the past. Be ready to share examples of how you’ve converted integrated datasets into actionable insights, especially in a clinical or research context. This will demonstrate your ability to lead analytical initiatives effectively.
✨Communicate Clearly with Stakeholders
Since collaboration is key in this role, practice explaining complex data concepts in simple terms. Think about how you would communicate results to non-technical stakeholders, as this will likely come up in your interview. Clear communication can set you apart!
✨Familiarise Yourself with Regulatory Compliance
Understand the regulatory landscape surrounding healthcare data. Be prepared to discuss how you ensure data quality and compliance in your previous roles. This knowledge will show that you’re not just technically skilled but also aware of the broader implications of your work.
