National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist (London)

Pear Bio
London
1 week ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Join to apply for the Senior Data Scientist (London) role at Pear Bio
2 weeks ago Be among the first 25 applicants
Join to apply for the Senior Data Scientist (London) role at Pear Bio
Get AI-powered advice on this job and more exclusive features.
About Pear Bio

At Pear Bio, we are personalizing cancer treatment selection because every cancer is unique. To achieve this, we have developed a test that cultures patient tumor samples and matched immune cells, monitors cell behaviors during therapy exposure, and identifies effective treatments for that patient. This technology acts as a translational model and clinical development tool for drug discovery. Our patient data, biobank and biomarker technology have led to the creation of an in-house drug discovery pipeline for cancers with high unmet need.
About Pear Bio

At Pear Bio, we are personalizing cancer treatment selection because every cancer is unique. To achieve this, we have developed a test that cultures patient tumor samples and matched immune cells, monitors cell behaviors during therapy exposure, and identifies effective treatments for that patient. This technology acts as a translational model and clinical development tool for drug discovery. Our patient data, biobank and biomarker technology have led to the creation of an in-house drug discovery pipeline for cancers with high unmet need.

We are a VC-backed start-up based in London, England and Natick, Massachusetts. To grow our company, were looking for a Senior Data Scientist with experience in biotech to join our early-stage team. Will you be the one?

Job Description

This role offers an opportunity to apply your expertise in data science, machine learning, and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including genomics, transcriptomics, proteomics, and high-content imaging data, to support the identification of cancer targets and the development of novel therapeutics.

You will be part of the Software Team and support wet-lab scientists across our Target and Drug Discovery and Precision Medicine R&D teams on a number of exciting projects at Pear Bio.

Job Responsibilities

Develop and implement machine learning and statistical models for target discovery, drug development and patient response prediction.
Collaborate with wet-lab scientists to design experiments and analyze results to inform target and drug discovery efforts.
Integrate and analyze multi-omic datasets (genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights.
Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data.
Design and develop interactive dashboards and visualization tools to support data-driven decision-making.
Work on single-cell resolution data from high-throughput imaging pipelines to identify biomarkers and therapeutic targets.
Present findings in internal meetings and contribute to scientific publications and conferences.
Stay up to date with advancements in computational oncology, machine learning, and data science methodologies.
Manage multiple projects simultaneously and ensure timely, high-quality deliverables.

Must-Haves

MSc/PhD in data science, computational biology, bioinformatics, biostatistics, or a related field.
3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery).
Strong foundation in statistics, data analysis and machine learning.
Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data).
Proficient in Python and/or R for data wrangling, modeling, and visualization.
Hands-on experience with data integration, mining, and visualization tools.
Experience working with relational and non-relational databases.
Strong written and verbal communication skills and the ability to present complex analyses to a diverse audience.

Nice-to-Haves

Understanding of cancer biology, target identification, and drug response modeling.
Experience working as an applied scientist or closely with wet-lab biologists.
Experience with collaborative coding and version control (ideally GitHub).
Experience developing and deploying bioinformatics pipelines.
Familiarity with cloud computing environments (ideally AWS) for large-scale data analysis.

Whats In It For You

London office/lab space
Competitive compensation in line with industry standards
Stock options in a growing startup
28 days of annual leave excluding bank holidays and Christmas closure
Yearly personal development budget, plus the chance to represent the company at international conferences
Open work environment where your opinions are valued
High career growth & personal development in a fast-paced, dynamic environment
The chance to have an impact in shaping the future of an early-stage start-up
Company perks / discounts via Perks at Work

Please Note

We are unable to sponsor work visas at this time. Please confirm your ability to work in the UK without visa sponsorship before applying.
The position is not eligible for remote work. If you are not based out of London, you will be expected to relocate.

Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Science
Industries IT System Data Services
Referrals increase your chances of interviewing at Pear Bio by 2x
Sign in to set job alerts for “Senior Data Scientist” roles. London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 hours ago
London, England, United Kingdom 3 months ago
EMEA ML Practice - Sr. Data Science Manager London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 month ago
Machine Learning Scientists and Engineers: AI for Quantum London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
EMEA ML Practice - Sr. Data Science Manager Greater London, England, United Kingdom 4 weeks ago
London, England, United Kingdom 4 days ago
London, England, United Kingdom 4 days ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 2 weeks ago
Hammersmith, England, United Kingdom 2 weeks ago
Research Scientist (Quantum Chemistry and Machine Learning), London London, England, United Kingdom 5 days ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 3 days ago
London, England, United Kingdom 1 week ago
Quantitative Researcher - Machine Learning London, England, United Kingdom 1 week ago
Quantitative Researcher (Machine Learning) London, England, United Kingdom 3 months ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 1 hour ago
London, England, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Biotechnology Job After a Lay-Off or Redundancy

Being made redundant from a biotechnology role can come as a shock, especially when your work involves complex research, innovation, and long development cycles. Whether due to funding cuts, mergers, shifting priorities in pharma or medtech, or economic turbulence, redundancies in biotech are becoming more common. But this doesn’t have to be the end of your career trajectory. In fact, many professionals go on to find better, more rewarding roles after a redundancy. With the UK’s biotech sector still growing rapidly across life sciences, pharmaceuticals, diagnostics, biomanufacturing, and synthetic biology, new opportunities are emerging every day. This guide will help you bounce back with purpose. From mental reset and CV refresh to recruiter outreach and sector-specific job search tips, here’s how to turn redundancy into a career upgrade.

Biotech Jobs Salary Calculator 2025: Pinpoint Your True Worth in the UK Life‑Sciences Market

Why yesterday’s salary guide won’t cut it in today’s biotech landscape “Could I earn more elsewhere?” Every life‑sciences professional has whispered that question—perhaps after seeing a colleague jump to a new start‑up for a chunky raise, or hearing that a peer at a rival pharma company pocketed a surprise bonus. Yet finding a credible benchmark in biotechnology is harder than ever. The sector morphs daily: gene‑therapy breakthroughs spawn new manufacturing lines, government funds pour into north‑of‑England cell‑&‑gene hubs, & Covid‑era mRNA expertise now permeates vaccine, oncology, & even agritech pipelines. Pay bands move with each development; a salary survey printed last year is already a museum piece. To clear the fog, BiotechnologyJobs.co.uk has reverse‑engineered a straightforward, three‑factor formula that estimates an accurate 2025 salary for UK‑based biotech professionals in seconds. Feed in your role, your region, & your seniority, and you’ll have a solid figure to anchor your next pay review or job‑offer negotiation. This article spells out the formula, spotlights the forces driving wages upward, & lays out practical steps to boost your market value over the next 90 days.

How to Present Biotech Concepts to Non-Scientists: A Public Speaking Guide for Job Seekers

In today’s biotechnology job market, your ability to explain complex science clearly is just as important as your lab skills. Whether you're applying for a research role, pitching to investors, or collaborating with marketing teams, you'll often need to present technical information to people without a scientific background. This blog explores how biotechnology job seekers can develop and deliver compelling presentations that make sense to non-scientists. From structuring your content to designing effective slides and using storytelling to bring data to life, these techniques will help you stand out in interviews and on the job.