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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
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