At a Glance
- Tasks: Design data-centric benchmarks and create biologically grounded mystery problems.
- Company: Remote role with a focus on advanced AI models in biology.
- Benefits: Competitive pay of $65–$85/hour, flexible hours, and remote work.
- Other info: 15–20 hours/week, independent contractor position with potential for follow-on projects.
- Why this job: Make an impact in AI by solving real-world biological challenges.
- Qualifications: PhD/MS in computational biology, strong coding skills, and experience with sequencing data.
We are hiring Computational Biologists to design data-centric benchmarks that test the reasoning abilities of advanced AI models. You'll create biologically grounded "mystery problems," build anonymized datasets, and validate solutions through custom analysis pipelines. This short-term project pays $65–$85/hour.
What You’ll Do:
- Design biology problems with one correct answer and multiple strong distractors
- Source, preprocess, and anonymize public datasets (GEO, SRA, NCBI, etc.)
- Validate answers using your own analysis workflows and visualizations
- Work within defined technical constraints
- Ensure all datasets reflect real-world biological complexity
What Makes You a Great Fit:
- Experience analyzing sequencing/omics data (RNA-seq, WGS, mass spec, etc.)
- Proficiency with tools like BLAST, samtools, DESeq2, FASTA/FASTQ/BAM
- Strong coding skills in Python, R, or bash
- Understanding of experimental design and common data artifacts
- Advanced degree (MS/PhD) in computational biology, genomics, or bioinformatics
Role Details:
- 15–20 hours/week, fully remote and asynchronous
- ~1-month project with potential follow-on opportunities
- Weekly payments via Stripe Connect
- Independent contractor position
Application Process:
- Submit your resume
- Short technical form required
- Possible sample task or brief review call
- Typical response within 3–5 business days
Apply Now!
PhD-Level Computational Biologist in Crawley employer: Recruit Loop
Join a forward-thinking team that values innovation and collaboration in the field of computational biology. As a remote employer, we offer flexible working hours and the opportunity to engage in meaningful projects that push the boundaries of AI and biological research. Our supportive work culture fosters professional growth, allowing you to expand your skills while contributing to impactful solutions in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land PhD-Level Computational Biologist in Crawley
✨Tip Number 1
Network like a pro! Reach out to fellow computational biologists on LinkedIn or relevant forums. Share your expertise and ask about their experiences; you never know when a connection might lead to a job opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work with datasets, analysis pipelines, and any cool projects you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to computational biology and data analysis. Practice explaining your thought process when solving problems, as this will demonstrate your reasoning abilities.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace PhD-Level Computational Biologist in Crawley
Some tips for your application 🫡
Tailor Your Resume:Make sure your resume highlights your experience with sequencing/omics data and any relevant tools you've used. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills!
Show Off Your Coding Skills:Since coding is a big part of this role, include specific examples of projects where you’ve used Python, R, or bash. We love seeing how you’ve tackled problems in the past, so let us know what you’ve built!
Be Clear and Concise:When filling out the technical form, keep your answers straightforward and to the point. We appreciate clarity, so make it easy for us to understand your thought process and expertise.
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 the ball rolling on your application. We can’t wait to hear from you!
How to prepare for a job interview at Recruit Loop
✨Know Your Biology
Make sure you brush up on your biology fundamentals, especially around sequencing and omics data. Be ready to discuss how you would design a biology problem with one correct answer and strong distractors, as this is key for the role.
✨Showcase Your Coding Skills
Prepare to demonstrate your proficiency in Python, R, or bash during the interview. You might be asked to solve a coding challenge or explain your previous projects, so have examples ready that highlight your technical skills.
✨Familiarise Yourself with Datasets
Get comfortable with public datasets like GEO, SRA, and NCBI. Be prepared to discuss how you would source, preprocess, and anonymise these datasets, as well as how you would validate answers using your own analysis workflows.
✨Understand the Project Scope
Since this is a short-term project, make sure you understand the technical constraints and the importance of reflecting real-world biological complexity in your datasets. Being able to articulate how you would approach this will impress your interviewers.
