Bioinformatics PhD - Toolkit Specialist in London

Bioinformatics PhD - Toolkit Specialist in London

London Full-Time 48000 - 68000 € / year (est.) No home office possible
Mercor

At a Glance

  • Tasks: Review bioinformatics problems and specify toolkits for computational biology.
  • Company: Join a leading AI research lab backed by top investors in San Francisco.
  • Benefits: Competitive pay of $60–$85/hour for a short-term contract.
  • Other info: Dynamic role with daily application reviews and quick interview process.
  • Why this job: Shape scientific solutions with cutting-edge bioinformatics tools and techniques.
  • Qualifications: PhD or Master's in bioinformatics with hands-on experience in key areas.

The predicted salary is between 48000 - 68000 € per year.

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Bioinformatician

Type: Contract

Compensation: $60–$85/hour

Duration: 2-week engagement

Role Responsibilities

  • Review representative problems from your assigned problem class to understand the data shape and expected output.
  • Specify a complete toolkit including Python/R packages and system tools, each with a brief rationale.
  • Validate the final toolkit to ensure it solves specific classes of computational biology problems.
  • Shape how frontier models approach real scientific problems through your tool selections.
  • Work independently and collaboratively to meet project deadlines.

Qualifications Must-Have

  • PhD or Master's degree in bioinformatics, computational biology, genomics, or a closely related field.
  • Hands-on experience with at least 3 of the following: protein structure analysis, variant effect prediction, RNA-seq/expression analysis, ChIP-seq/epigenomics, single-cell analysis, CRISPR screen analysis, molecular docking, or cheminformatics.
  • Deep familiarity with the standard tool ecosystem for your subdomain (e.g., Rosetta, FoldX, DESeq2, MAGeCK, AutoDock Vina, HOMER, scanpy).
  • Proficiency in Python and/or R for bioinformatics workflows.
  • Familiarity with command-line bioinformatics tools (e.g., samtools, BEDTools, BLAST).

Interview Process

  • Short screening questionnaire to assess subdomain expertise and tool familiarity.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome

For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Bioinformatics PhD - Toolkit Specialist in London employer: Mercor

Mercor is an exceptional employer that fosters a dynamic work culture, connecting top-tier talent with pioneering AI research labs in the heart of San Francisco. With competitive compensation and a focus on employee growth, we offer unique opportunities for collaboration and innovation in the bioinformatics field, ensuring that our team members are at the forefront of scientific advancements while enjoying a supportive and engaging environment.

Mercor

Contact Detail:

Mercor Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Bioinformatics PhD - Toolkit Specialist in London

Tip Number 1

Get familiar with the tools mentioned in the job description. Brush up on your Python and R skills, and make sure you can confidently discuss your experience with bioinformatics tools during the interview.

Tip Number 2

Practice makes perfect! Run through some mock interviews with friends or colleagues. Focus on explaining your toolkit choices and how they solve specific computational biology problems.

Tip Number 3

Don’t forget to showcase your collaborative skills! Be ready to share examples of how you've worked independently and as part of a team to meet project deadlines.

Tip Number 4

Apply through our website for a smoother process. We review applications daily, so get your AI interview done and show us what you've got!

We think you need these skills to ace Bioinformatics PhD - Toolkit Specialist in London

Bioinformatics
Computational Biology
Genomics
Protein Structure Analysis
Variant Effect Prediction
RNA-seq/Expression Analysis
ChIP-seq/Epigenomics

Some tips for your application 🫡

Tailor Your Resume:Make sure your resume highlights your relevant experience in bioinformatics and showcases your hands-on skills with the tools mentioned in the job description. We want to see how your background aligns with the role!

Showcase Your Toolkit Knowledge:When specifying your toolkit, be clear about the Python/R packages and system tools you’re familiar with. A brief rationale for each choice will help us understand your thought process and expertise.

Be Concise and Clear:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. This helps us quickly grasp your qualifications and fit for the role.

Complete the AI Interview:Don’t forget to complete the AI interview after submitting your application! It’s a crucial step in our process, and we review applications daily, so get it done to boost your chances!

How to prepare for a job interview at Mercor

Know Your Toolkit Inside Out

Make sure you’re well-versed in the Python/R packages and system tools relevant to bioinformatics. Be ready to explain why you’ve chosen specific tools for particular problems, as this will show your depth of understanding and ability to apply your knowledge practically.

Brush Up on Key Concepts

Review the core areas of bioinformatics mentioned in the job description, like RNA-seq analysis or molecular docking. Having a solid grasp of these concepts will help you answer questions confidently and demonstrate your expertise.

Practice Problem-Solving Scenarios

Prepare for potential problem-solving scenarios that may come up during the interview. Think about how you would approach specific computational biology challenges and be ready to discuss your thought process and solutions.

Familiarise Yourself with Command-Line Tools

Since familiarity with command-line bioinformatics tools is a must-have, ensure you can navigate and use tools like samtools and BLAST effectively. Being able to discuss your experience with these tools will set you apart from other candidates.