About Rancho BioSciences, LLC
Rancho BioSciences is a San Diego–based provider of biomedical data curation and data science services for pharma and biotech, spanning drug discovery through translational research. Our teams of scientists, data engineers, and software experts deliver end-to-end solutions across data curation, management, mining, and analysis to help customers accelerate R&D. We partner long-term with blue-chip clients and emerging biotechs, bringing scientific rigor, quality, and a customer-first mindset to every engagement.
About the role
- The Life Science Business Analyst will identify, design, implement, and support data management, curation, and analytics solutions for our pharmaceutical, academic, and institutional clients. The ideal candidate will have a strong understanding of scientific business processes and technical platforms to bridge the gap between business needs and technical solutions.
What you'll do
- Collaborate with stakeholders to gather and document business requirements, ensuring alignment with scientific and regulatory needs.
- Analyze laboratory workflows and clinical development processes to identify inefficiencies and opportunities for optimization.
- Design, develop, and maintain data pipelines, ensuring data quality and adherence to FAIR principles.
- Perform data analysis using statistical methods and programming languages (Python, SQL, R) to derive actionable insights.
- Support master data management (MDM) initiatives by developing machine learning models to match, merge, and de-duplicate records.
- Lead system testing efforts, including User Acceptance Testing (UAT), and ensure accurate system documentation.
- Translate business requirements into detailed user stories and acceptance criteria for the development team.
- Act as a liaison between business and IT teams, facilitating communication and ensuring smooth implementation of solutions.
- Provide training, documentation, and support to end-users to ensure effective system utilization.
Qualifications
Must-Haves:
- BS or MS in Life Sciences, Computer Science, Bioinformatics, or equivalent industry experience.
- Minimum of 5 years of experience in the pharmaceutical, biotech, or healthcare industry.
- 3+ years of experience as a business analyst working with data management and analytics platforms.
- Strong experience in data modeling, business process analysis, and translating business requirements into technical specifications.
- Proficiency in Python and/or R, SQL, and data visualization tools.
- Familiarity with Agile methodologies and tools such as JIRA and Confluence.
- Excellent stakeholder management skills and the ability to work cross-functionally in a remote environment.
- Experience with GxP validation and knowledge of regulatory requirements.
Nice-to-Haves:
- IIBA Certification in Business Analysis or familiarity with BABOK principles.
- Experience with cloud platforms (e.g., AWS) and DevOps practices.
- Knowledge of laboratory information management systems (LIMS) and clinical data workflows.
- Exposure to machine learning tools such as TAMR.
- Understanding of regulatory requirements such as CLIA, FDA, and EMA
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