Mitra bio
Principal Data Scientist – Precision Biomarkers in Skin Health

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About Mitra Bio
Mitra Bio is building the future of skincare through epigenetics, longevity science, and AI. We help people better understand their skin over time using non-invasive skin sampling and advanced data analysis. Backed by leading investors and trusted by global partners, our goal is to make highly personalised skincare more effective, accessible, and science-driven.
As we continue to grow, we're looking for a Principal Data Scientist – Precision Biomarkers in Skin Health to play a pivotal role in shaping our scientific platform, leading client-facing scientific projects and helping translate breakthrough research into products used by global skincare and pharmaceutical companies.
The Role
Reporting to the Head of Data Science, you'll work at the intersection of skin biology, bioinformatics and AI to discover novel biomarkers, develop predictive models and translate complex biological datasets into scientific insights and customer-facing products.
This is a hands-on, senior individual contributor role for someone who sees data as more than numbers. You enjoy uncovering the biological story within complex datasets and communicating those insights through scientific writing, publications, presentations and conversations with clients and collaborators.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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About You
You're a scientist first, with deep computational expertise.
You probably began your career in biology, molecular biology, genetics, dermatology or another life science before specialising in bioinformatics or computational biology.
Ideally, you've built your expertise in skin biology, dermatology, skin ageing, melanoma or a closely related area, giving you a deep understanding of both the biology and the computational approaches needed to generate meaningful insights.
You don't just analyse data. You enjoy interpreting it, connecting it back to biology, and communicating the story it tells. Whether you're writing a publication, presenting to a client or discussing results with colleagues, you're able to turn complex analyses into clear, evidence-based scientific narratives that inform research, shape products and help clients make better decisions.
Qualifications


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You should apply if you have:
- An MSc, PhD or equivalent industry experience in Bioinformatics, Computational Biology, Molecular Biology, Genetics or a related discipline
- A strong background in skin biology, dermatology, skin ageing, melanoma or a closely related field
- 5+ years' experience developing bioinformatics and ML solutions
- Deep experience analysing NGS, DNA methylation and other high-dimensional omics datasets
- Strong Python skills and experience developing reproducible bioinformatics workflows
- Experience designing scientific studies or analysing clinical research datasets
- Experience working directly with external clients, collaborators or commercial partners
- Excellent written communication skills, with experience writing scientific reports, publications, conference abstracts or white papers
- Excellent presentation skills and the ability to communicate complex science to both technical and non-technical audiences
- The ability to independently lead scientific projects from concept through delivery in a collaborative, multidisciplinary environment
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