The Opportunity

We are seeking a motivated and detail-oriented Associate Scientist / Scientist I to join our Computational Test Development team at Precede Biosciences. Reporting to our Senior Director, Computational Test Development, this role is focused on the execution and analysis that underpins our diagnostic assay characterization and validation programs.

This is a hands-on computational role. You will run analyses, build and maintain quality assessment frameworks, execute in silico simulations, and generate the data-driven outputs that feed directly into our regulatory submissions. If you are energized by rigorous data analysis, take pride in clean and reproducible work, and are excited to contribute to diagnostics that could change how cancer is detected and treated, we want to hear from you.

About Us

We are pioneering an advanced, minimally invasive, comprehensive epigenomics platform with the potential to profoundly impact the research and development of new medicines and the use of approved medicines in clinical practice across a number of conditions, including cancer. More information on our company and platform can be found on our company website and in our seminal publication in Nature Medicine.

We care deeply about creating a place where folks can do their best work from the start and have intentionally created an environment that is defined by purpose, teamwork, and excellence. This means nurturing team spirit, facing challenges together, and collaboratively solving complex problems, while also ensuring a strong focus on individual initiative, accountability, and delivery.

• MSc in computational biology, bioinformatics, biostatistics, or a closely related quantitative field with 3–4 years of industry or post-graduate research experience in a data-intensive biological or biomedical setting, Ph.D. preferred

• Strong proficiency in R and Python for data analysis, visualization, and reproducible reporting — you write, own, and document your own code

• Experience with cloud computing environments (AWS) for running scalable analyses

• Demonstrated ability to execute analytical plans with precision and efficiency, managing multiple tasks without a drop in quality or documentation standards

• Familiarity with NGS data types and standard processing pipelines — alignment, QC, coverage analysis, or equivalent

• Clear and organized communicator — written documentation, results presentations, and cross-functional interactions alike

• Comfortable working in a fast-paced startup environment, following defined protocols while contributing ideas for improvement

Nice to have:

• Exposure to regulated environments — CLIA, CAP, FDA IVD, or design controls in any form

• Experience with epigenomic data types — methylation, cfDNA, chromatin accessibility, or ChIP-seq

• Familiarity with statistical thresholding or limit of detection frameworks for diagnostic applications

• Experience contributing to SOPs, validation reports, or other regulated documentation