At a Glance
- Tasks: Join our team to develop innovative data pipelines for cutting-edge proteomics research.
- Company: Dynamic bioinformatics company at the forefront of scientific innovation.
- Benefits: Competitive salary, benefits package, and opportunities for professional growth.
- Other info: 1-year fixed-term contract with potential for exciting career development.
- Why this job: Make a real impact in science by applying your skills in a collaborative environment.
- Qualifications: Master's degree in Bioinformatics, Statistics, or related field; strong stats and ML skills required.
The predicted salary is between 70000 - 90000 £ per year.
About the role
Portal is seeking a motivated Data Scientist to join our Bioinformatics & Machine Learning team. In this 1-year, fixed-term role, you will work directly with the wet lab, applying techniques from statistics and machine learning to invent new applications of Portal's single-molecule proteomics platform. The work spans the full range from exploratory data analyses to shipping production-hardened methods, and is embedded in a fast-moving, highly collaborative research environment at the scientific frontier of the field. This role is ideal for someone who is excited by novel methodological challenges, applies scientific rigour and first principles approach to their work, and is comfortable in rapidly evolving and often ambiguous problem spaces.
Tasks and responsibilities
- Research, development, and shipping of analytical pipelines for nanopore-based proteomic data
- Design and implementation of statistical and ML approaches to novel biological data, iterating from exploratory analysis through to deployable pipeline components
- Robust evaluation and benchmarking of algorithmic approaches, with clear documentation of findings
- Liaise with experimental scientists and engineers to understand data characteristics, interpret results, and align on deliverables
- Present analytical results and methodological decisions to multidisciplinary audiences, including non-technical stakeholders and clients
- Contribute to a culture of scientific rigour, reproducibility, and code quality within the team and outwards to the entire company
Qualifications
- Master's degree or higher in Bioinformatics, Statistics, Machine Learning, or a related field
Technical
- Strong theoretical grounding in statistics and ML, with the ability to apply it in biological contexts
- Solid command of DS best practices: major Python DS/ML libraries, data science experimentation workflows, Git version control, and ability to read and reuse code from existing projects
- Demonstrated data engineering fundamentals, including handling messy data, applying robust cleaning and validation practices, and exercising good judgement as data complexity increases
- A genuine, considered view on the use of AI tools in day-to-day technical work, where they add value, and where they don't
- Ability to ship code from analysis notebooks to robust, reusable pipeline components
- Familiarity with experiment tracking tools and shared compute environments and/or cloud platforms
Behavioural
- Demonstrates strong scientific curiosity and a data hunter mindset; asks good clarifying questions and is comfortable navigating complex, ambiguous, and under-specified problems
- Ability to work effectively across experimental, engineering, and commercial functions, and explain complex technical work to non-specialist audiences
- Strong internal and external collaborator, with an outward looking, market-aware mindset and the ability to articulate technical value in terms of customer and business impact
Desirable
- A theoretical background in molecular biology or protein biochemistry, including foundational understanding of proteomics-related concepts
- Hands-on experience developing data science pipelines for omics or other complex biological data, including familiarity with relevant data standards and formats
- Experience with unsupervised or semi-supervised learning, Bayesian modelling, or time-series data
- Experience with or interest in single-molecule or electrophysiology data
- Demonstrated ability to learn new biological domains, data modalities, or analytical techniques quickly and effectively
Benefits
We offer a competitive salary and benefits package. If you are passionate about developing cutting‑edge scientific tools and want to contribute to breakthrough innovations in proteomics, we encourage you to apply!
Additional information
This is a 1-year fixed-term position. This role requires candidates to have full, unrestricted, and immediate right to work in the UK.
Data Scientist (1-year fixed-term contract) London employer: Meeveem Limited
Portal is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for innovative minds eager to tackle complex challenges in bioinformatics and machine learning. Located in London, employees benefit from a competitive salary and a comprehensive benefits package, alongside ample opportunities for professional growth and development within a cutting-edge scientific environment. Join us to contribute to groundbreaking advancements in proteomics while working with a team that values scientific rigour and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (1-year fixed-term contract) London
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We think you need these skills to ace Data Scientist (1-year fixed-term contract) London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Meeveem Limited, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Meeveem Limited, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Meeveem Limited’s attention and show the tangible impact of your work.
How to prepare for a job interview at Meeveem Limited
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Meeveem Limited.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Meeveem Limited.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Meeveem Limited.
