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.

We are proud to have 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 BioSpace’s “2025 Best Places to Work.”

### Role Overview

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 their 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.

Key Responsibilities

• 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.

### Experience \& Skills and Work Environment

Experience \& Skills

• 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, statsmodels, 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.

Work Environment

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

### Life at Kriya

Discover True Collaborative Teamwork

We have an ambitious set of goals, but our confidence – and our inspiration – stems from our people. From California to North Carolina, our teammates bring a spirit of Collaboration, Leadership, and Innovation to their work every day.

We’re always looking for teammates with the drive and energy to help us grow. If you want to be a part of a company with an entrepreneurial culture, a bold vision, and a meaningful purpose, join us.

Rewards \& Benefits

Time Off \& Work\-Life Balance: Flexible Time Off Paid Parental \& Medical Leave

• Paid Company Holidays
• Health \& Wellness:Fertility \& Family Building Benefits Medical, Dental, and Vision Insurance Employee Assistance Program (EAP) Life Insurance Short\- and Long\-Term Disability Coverage
• Financial Security:Equity 401(k) with Company Match Identity Theft Protection
• And More!

### About Kriya Therapeutics

won't let me leave this section blank *Kriya is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.**All job requirements in the job description provided indicate the minimum level of knowledge, skills, and/or abilities deemed necessary to perform the job competently. Job descriptions are an overview of the duties, responsibilities, and requirements of the position. Employees may be required to perform other job\-related assignments as requested.*