Computational Diagnostics Scientist I

Precede Biosciences, Inc.; Boston, Northern (MA, KY); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Precede Biosciences is seeking an Associate Scientist / Scientist I to join the Computational Test Development team. This hands-on, data-driven role focuses on assay characterization, in silico simulations, and regulatory-ready analyses that underpin diagnostic development in oncology.

You will execute analyses, build quality assessment frameworks, run simulations, and collaborate with wet lab and computational colleagues to deliver reproducible results supporting submissions and decision-making.

Qualifications

• MSc in computational biology, bioinformatics, biostatistics or similar plus 3–4 years in a data-intensive setting.
• Strong proficiency in R and Python for analyses, visualization, and reproducible reporting.
• Experience with cloud computing (AWS) for scalable analyses.
• Familiarity with NGS data types and standard processing pipelines.
• Clear, organized communicator with ability to document work and present results.

Responsibilities

• Execute data analyses supporting assay characterization across epigenomic and NGS-based tests—from raw data to performance metrics.
• Design and implement quality assessment frameworks to evaluate assay and pipeline performance.
• Run and interpret validation experiments with wet lab and senior computational team members.
• Pursue defined research questions semi-independently, delivering well-documented results.

Skills

R

Python

AWS

Data analysis

Education

MSc in computational biology

PhD preferred

Job description

Precede Biosciences is seeking an Associate Scientist / Scientist I to join the Computational Test Development team. This hands-on, data-driven role focuses on assay characterization, in silico simulations, and regulatory-ready analyses that underpin diagnostic development in oncology.

You will execute analyses, build quality assessment frameworks, run simulations, and collaborate with wet lab and computational colleagues to deliver reproducible results supporting submissions and decision-making.