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.
