Bioinformatics Data Scientist - AI for Life Sciences

Chemical Abstracts Service; Columbus (OH); Sur place; USD 90 000 - 120 000; Plein temps

Résumé du poste

Chemical Abstracts Service in Columbus, Ohio, seeks a bioinformatician to join our Life Sciences data team. You will analyze and curate large biological datasets, apply data engineering techniques, and leverage frontier AI models to improve data quality.

You will work with scientists and data stewards to transform complex information into reliable content, develop scalable analytics, and help implement data standards and workflows in a fast-paced environment.

Qualifications

• Advanced degree in data science or life sciences preferred; bachelor/master considered with relevant experience.
• Experience analyzing and interpreting large biological datasets.
• Proficiency in SQL and Python or R for data analysis; experience validating ML models.

Responsabilités

• Analyze and validate life sciences datasets, audit data quality, and perform bulk corrections as needed.
• Harmonize and standardize data using ontologies and internal data standards.
• Query, extract, clean, and transform data from databases to support curation and reporting.
• Integrate data from internal and external sources, including public databases.
• Perform quality control, normalization, and statistical analysis of high-throughput datasets.
• Define and track data quality metrics; evaluate AI/LLM approaches to automation.
• Create reports and visualizations for technical and non-technical stakeholders.
• Collaborate with scientists and data stewards to translate needs into technical solutions.

Connaissances

SQL

Python

R

Data analysis

AI/LLM applications

Formation

PhD preferred

Advanced degree in data science or life sciences

Outils

MarkLogic

XML/JSON data handling

NoSQL databases

Description du poste

Chemical Abstracts Service in Columbus, Ohio, seeks a bioinformatician to join our Life Sciences data team. You will analyze and curate large biological datasets, apply data engineering techniques, and leverage frontier AI models to improve data quality.

You will work with scientists and data stewards to transform complex information into reliable content, develop scalable analytics, and help implement data standards and workflows in a fast-paced environment.