Senior Data Scientist

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, we’re looking for aSenior Data Scientistwith experience inbiotechto 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 tooncology-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.

What’s 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.