Senior Data Analyst

About Dualitas Therapeutics

At Dualitas Therapeutics, we are redefining bispecific antibody discovery and development for autoimmune disease. Based in South San Francisco, California, our scientists are pioneering innovative technology to advance the next generation of antibody therapeutics. Our employees are our most important asset, and together we are dedicated to making Dualitas a scientifically superb and highly collegial place to work.

• Get Things Done Creatively as One Team — proposing solutions, aligning stakeholders, and moving work forward.
• Advance Differentiated Medicines with Scientific Rigor — applying disciplined clinical development judgment and data-driven decision-making.
• Operate with Urgency, Discipline and Grit — driving timelines, mitigating risks, and maintaining executional focus.

$115,000 - $140,000 a year

We are seeking a Senior Data Analyst to maximize the visibility, accessibility, and value of our internal research data and transform complex biological datasets into high-quality, reproducible insights that inform scientific strategy and decision-making. This role will serve as a critical bridge between the rapid generation of data at the bench and the organization’s need to translate that data into actionable insights, scientific knowledge, and future research directions.

The ideal candidate will have a strong foundation in biology and biotechnology, combined with demonstrated proficiency in data analysis, visualization, and emerging methods integrating agentic AI tools. The successful candidate will be energized by the potential of cutting-edge therapeutics and motivated by the challenge of translating complex biological data into clear, actionable insights that can be understood and leveraged across multiple levels of the organization.

This individual will work closely with wet-lab scientists, research leaders, data engineers, and computational teams to develop scalable, fit-for-purpose data solutions for scientific and business stakeholders.

• Data Visualization & Dashboards
  :
  Design and develop custom dashboards, reports, and visualizations that communicate complex research data effectively to a range of audiences.
• AI enablement
  :
  Based on stakeholder needs and feedback, advocate for, design, and deploy customized agentic AI tools and software that streamline bottlenecks and improve access to standardized data.
• Ad Hoc Analysis
  :
  Provide ad hoc data analyses to address biological and scientific questions, identify trends and patterns, and generate actionable insights to support experimental interpretation and research decision-making.
• Data Curation & Standardization
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  Curate and organize research data into structured, standardized formats, with an emphasis on data quality, reproducibility, traceability, and auditability in alignment with FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
• Data Best Practices & Scientific Communication
  :
  Partner directly with wet-lab scientists to communicate and implement data management and documentation practices established by engineering and computational teams. Educate scientists on appropriate data capture, annotation, and documentation practices to enable reliable downstream analysis.
• Data Ecosystem Management
  :
  Maintain and support the research data ecosystem across LIMS, SharePoint, and AWS. Ensure data is accessible and discoverable while minimizing unnecessary duplication and maintaining clear distinctions between raw, processed, and validated datasets.

• Bachelor’s degree in biology, bioinformatics, computational biology, data science, statistics, computer science, or a related field; an advanced degree is a plus.
• 5+…