Data Scientist at PulseRise Technologies driving data - informed decisions in crypto payments infrastructure. Collaborating with product leaders and CFO for insights on user journeys and transaction flows.
About the role
- Data Science Engineer working within Early Research to build infrastructure for biological data analysis. Combining data engineering, data science, and machine learning to support scientific discovery and research teams.
Responsibilities
- Build and maintain scalable ETL pipelines for experimental, biological, and pharmacological data
- Integrate data from multiple sources such as GeneData, LabVantage, CROs, and cloud platforms into unified analytical environments
- Automate recurring workflows to ensure data quality, accessibility, and reproducibility
- Collaborate with data scientists to implement and operationalize AI and machine learning models into production-ready pipelines on cloud and HPC environments
- Monitor and maintain deployed models to ensure performance, scalability, and traceability
- Develop scripts, APIs, and workflows to connect laboratory systems such as GeneData Biologics and LabVantage with central analytics environments
- Act as the technical link between Discovery, IT, and Data Science teams
- Translate scientific and technical needs into robust, scalable solutions
- Provide responsive technical support to scientists to ensure data accessibility and workflow reliability.
Requirements
- MSc in Computer Science, Data Science, Computational Biology, or a related field
- Three to five years of relevant experience in data engineering or scientific data environments
- Proficiency in Python and version control systems such as Git
- Experience with AWS services including S3, Lambda, ECS, Glue, and Step Functions
- Strong understanding of data integration, workflow automation, and pipeline design
- Excellent communication skills with the ability to explain technical solutions clearly to scientific and technical colleagues
- Proactive problem solver who can adapt quickly to changing priorities.
Benefits
- Flexible working arrangements
- Health and wellness programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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