Bio-Data Engineer II (Part-Time/Temporary)

About Artiva: We are a clinical-stage biotechnology company focused on developing natural killer (NK) cell-based therapies. Our mission is to develop effective, safe, and accessible cell therapies for patients with devastating autoimmune diseases. We aim to develop therapies that patients and physicians can utilize in a community setting. Our lead product candidate, AlloNK®, is a non-genetically modified, cryopreserved NK cell therapy being evaluated in combination with B-cell targeted monoclonal antibodies (mAbs). We believe the compelling cell killing properties of NK cells, when combined with mAbs for targeting, creates an opportunity to generate potentially transformative therapies.   For more information, visit www.artivabio.com. Position Summary: Artiva Biotechnologies is seeking a Bio-Data Engineer II to design and maintain scalable data pipelines and infrastructure for our biological data management systems. You'll work with our team to build robust data lakes and warehouses that support analytics, research, and downstream applications. What You'll Do Design and maintain data pipelines that reliably process, validate, and store biological datasets at scale Build and optimize cloud-based data infrastructure and warehousing solutions Develop tools and workflows to improve data accessibility for research and analytics teams Collaborate with scientists and analysts to ensure data quality and usability Required Skills & Experience Proficiency in Python and associated data libraries (Pandas, NumPy, or similar) for data integration and manipulation Experience with data engineering: data lake and data warehousing architectures and best practices, and cloud platforms for data storage, compute, and analytics (GCP, AWS, or Azure) Familiarity with workflow orchestration tools (Airflow, Snakemake, Nextflow, or similar) Ability to create clear data visualizations and reports to communicate findings Nice-to-Have Bioinformatics background or experience working with genomic/biological datasets Experience building interactive dashboards or BI tools Familiarity with containerization (Docker) and version control (Git) Knowledge of data governance, quality assurance, or compliance in regulated environments Education Bachelor's degree in computer science, software engineering, or related discipline 2+ years industry experience (relevant academic experience considered) Compensation: $55 - 65/hr. Exact compensation may vary based on skills and experience. If all this speaks to you, come join us on our journey!