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- Tasks: Collaborate on groundbreaking research in disease prediction and develop innovative statistical models.
- Company: Fast-developing company at the forefront of decoding complex diseases.
- Benefits: Flexible hours, fully remote work, and the chance to contribute to impactful research.
- Why this job: Join a team making a real difference in health through cutting-edge bioinformatics.
- Qualifications: Post-doc or PhD in relevant fields with strong computational skills.
- Other info: Opportunity to work independently and make key decisions in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Read the overview of this opportunity to understand what skills, including relevant soft skills and software package proficiencies, are required.
We are supporting a fast-developing disease prediction company, leading the way of decoding complex diseases through polygenic risk scoring (PRS) and health data. We are looking for a keen post-doc, staff scientist or student (within genomics, computer science, bioinformatics, or another relevant field) with strong computational/statistical skills to help build the next generation of disease prediction by focusing on PRS, model validation and scientific methods.
Core Responsibilities- Work alongside our CTO and Lead Data Scientist on high impact research
- Develop and validate PRS methods
- Help refine statistical and computational models
- Work with genomic datasets helping support research
- Work independently making key decisions
- Help towards open-source tools and internal research pipelines
- Build scientific tools and software within Python/Rust
- Post-doctoral/ PhD
- Experience in dealing with large bio-bank scale datasets (UKBB or AoU)
- PRS, statistical genetics and disease risk modelling experience
- Relevant publications/contributions
- Familiarity with scientific validation (calibration, benchmarking, AUC/r2, evaluation)
- Python/Rust programming
- AWS or cloud-based workflows
- Flexible hours
- Fully remote
- Freelance role
Freelance Bioinformatics/ML Researcher employer: Barrington James
Contact Detail:
Barrington James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Bioinformatics/ML Researcher
✨Tip Number 1
Network like a pro! Reach out to your connections in the bioinformatics and ML fields. Attend webinars, join relevant forums, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PRS and statistical modelling. Use platforms like GitHub to share your code and findings. This way, potential employers can see your expertise in action!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to bioinformatics and machine learning. We recommend practising your responses to technical questions and discussing your past research experiences. Confidence is key, so let your passion shine through!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Keep an eye on our listings and make sure your application stands out by tailoring it to each role.
We think you need these skills to ace Freelance Bioinformatics/ML Researcher
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your computational and statistical skills in your application. We want to see how your experience aligns with the core responsibilities, especially in PRS and model validation.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements mentioned in the job description. This shows us that you’ve done your homework and are genuinely interested in the role.
Include Relevant Experience: If you've worked with large genomic datasets or have experience in Python/Rust, make it prominent in your application. We love seeing relevant publications or contributions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Barrington James
✨Know Your Stuff
Make sure you brush up on your bioinformatics and machine learning knowledge. Be ready to discuss your experience with polygenic risk scoring and any relevant projects you've worked on. Familiarity with large datasets like UKBB will definitely give you an edge!
✨Showcase Your Skills
Prepare to demonstrate your computational and statistical skills during the interview. Bring examples of your work, especially any publications or contributions you've made in the field. If you've built tools in Python or Rust, be ready to talk about them!
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's research focus and their approach to model validation. This shows your genuine interest and helps you assess if the role is the right fit for you.
✨Be Ready to Think on Your Feet
Expect some problem-solving scenarios or technical questions that test your ability to think critically. Practice explaining your thought process clearly, as this will demonstrate your analytical skills and how you approach complex problems.
