Apriori Bio, Inc Cambridge, MA Data Scientist

At Apriori Bio, we have built our unique technology platform Octavia™ to help survey viral landscapes and improve vaccine design towards increased efficacy and breadth. This role will serve as a critical part of this effort, sitting on the Platform team that develops and builds the key capabilities supporting Octavia. You will partner with our wet‑lab scientists as well as our broader computational team to turn our high‑throughput immune landscaping data into actionable insights and features for the design of better vaccine candidates.

Additionally, you will develop innovative approaches predicting the ability of antigens to evade existing immunity, thus enabling the design of the next generation of variant‑resilient vaccines. In this cross‑functional role, you will have the opportunity to utilize our in‑house and external databases, generate data‑driven insights, and contribute to the expansion and refinement of Octavia™.

Apriori Bio is seeking a Data Scientist with a track record of developing and successfully applying analytical tools to high‑throughput sequencing assays. This role is positioned at the interface between the high‑throughput biological readouts that power Octavia and the expanding set of platform capabilities enabling the design of better vaccine candidates against infectious disease. Experience in the analysis and interpretation of high‑throughput functional and/or genomic assays (e.g. deep mutational scanning, barcode‑based NGS assays, and other library‑based phenotypic assays) is desired.

The role requires strong data visualization and communication skills, as well as an proficiency in bioinformatics. Technical expertise in protein engineering or structure, virology, vaccinology, viral phylogenetics and/or viral phylodynamics is preferable. This individual will join a dynamic, rapidly growing and collaborative team, and should also be comfortable in a fast‑paced start‑up environment.

• Execute and manage high‑throughput sequencing analysis pipelines
• Analyze and interpret results of high‑throughput experiments, assessing relevance for associated programs and communicating evaluated results to program teams.
• Collaborate with wet‑lab scientists to design experiments for assay development, program advancement, & expansion of the Octavia platform.
• Collaborate with broader Apriori team to develop and optimize new high‑throughput assays to expand the capabilities & impact of Octavia.
• Perform longitudinal data analyses to support experimental decision‑making & platform development.
• Integrate various data sources to engineer useful features for predictive modeling & antigen design.
• Assist with organizing, extracting, and uploading proprietary experimental information programmatically with Benchling ELN’s SDK.
• Create clear, user‑friendly visualizations to be developed into dashboards and automated workflows.
• Regularly present platform progress in research and executive team meetings, creating comprehensive reports and slides for widespread communication.
• Uphold data management integrity and reproducibility through established software engineering best practices.
• Monitor cutting‑edge technologies and models and identify potential collaboration opportunities across the Flagship Ecosystem.

• Proficiency in writing production‑standard Python code, especially with packages in the scientific computing ecosystem (Num Py, Sci Py, Matplotlib, pandas, etc.).
• Experience with analyzing and interpreting high‑throughput experimental data.
• Solid bioinformatics background with proficiency handling and analyzing sequence data.
• Strong scientific and quantitative acumen, with a demonstrated ability to integrate this acumen into platform & model building.
• Familiarity with collaborative coding using Git Lab best practices and commands.
• General proficiency with cloud platforms, specifically AWS.
• Demonstrable extensive experience or study in statistical/quantitative modeling & machine learning.
• Working knowledge of quantitative data pipelines, including workflow orchestration, ETL processes, quality control management, and reporting.
• Knowledge in at least one ML…