Scientist I-II, Applied Computation

Description

Kriya is a biopharmaceutical company whose mission is to develop life‑changing gene therapies for diseases affecting millions of patients around the world. We leverage our proprietary computational engine, in‑house manufacturing infrastructure, and integrated design platform to engineer technologies and therapeutics with the potential to transform the treatment of a broad universe of diseases of high unmet need, with a focus on metabolic disorders, neurology, and ophthalmology.

Kriya has been named Triangle Business Journal’s Life Sciences 2024 “Best Private Company to Work For,” recognized by Forbes as one of “America’s Best Startup Employers of 2024,” and honored as one of Bio Space’s “2025 Best Places to Work.”

Applied Computation & AI

Research Triangle Park, NC

The Applied Computation Scientist transforms complex data from research, manufacturing, operations, and business functions into clear, actionable insights through analysis and visualization. This role focuses on conducting analyses, building custom data‑processing solutions, creating compelling data visualizations, and developing dashboards that make diverse datasets accessible and interpretable across the organization. As a member of Kriya’s computational Center of Excellence, the Applied Computation Scientist works collaboratively with teams enterprise‑wide to understand analytical needs and deliver data‑driven insights.

This role requires scientific curiosity, strong visualization and communication skills, and creativity in applying emerging AI technologies to analytical challenges.

• Create interactive dashboards and compelling visualizations (Streamlit, Shiny) that communicate complex scientific and operational data clearly to diverse audiences.
• Develop custom data processing code to ingest, transform, and standardize diverse datasets from CRO studies, manufacturing systems, operational metrics, and business intelligence sources, preparing them for datalake storage and AI tool integration.
• Apply exploratory data analysis, statistical modeling, and quantitative methods to analyze experimental and operational data and translate into actionable recommendations.
• Work closely with scientists, manufacturing teams, business teams, and operations stakeholders to understand analytical needs and deliver data‑driven solutions.
• Innovate on applications of AI for data analysis and visualization, including prompt‑to‑visualization workflows.
• Document data transformations, analytical approaches, and workflows for reproducibility and knowledge transfer.

• Bachelor’s degree in Biology, Bioinformatics, Data Science, or related field;
  PhD preferred.
• 2-5 years of experience in data analysis, computational biology, or related role.
• An equivalent combination of education and experience is acceptable.
• Advanced knowledge of Python for data analysis and visualization (pandas, plotly, matplotlib, seaborn).
• Experience with statistical modeling and quantitative analysis (scipy, stats models, or similar).
• Experience building web applications and dashboards to present data and analyses (Streamlit, Shiny, or similar).
• Knowledge of AWS cloud platforms and data engineering concepts.
• Familiarity with version control (Git) and collaborative development practices.
• Experience with AI/ML applications and LLM integration preferred.
• Life sciences or biomedical background with ability to understand experimental and manufacturing data.
• Scientific curiosity and analytical mindset for exploring complex datasets.
• Strong data visualization skills with attention to effective communication of insights.
• Excellent written and verbal communication for working with technical and non‑technical stakeholders.
• Ability to translate stakeholder needs into technical solutions.
• Self‑directed with ability to manage multiple projects independently.

• Primarily desk‑based, generally in an office or home office setting.
• May involve extended periods of sitting and computer use.

We have an ambitious set of goals, but our confidence – and our inspiration – stems from our people. From California to North Carolina,…