Senior Staff IT Analytics Engineer

Job Title:

Senior Staff IT Analytics Engineer

Location:

Hybrid

Position type:

FLSA:

Full time

Exempt

Department:

Finance ID:

IT AI and Analytics

9180-2024-5-P

Profoundly Improve People’s lives by Revolutionizing the Delivery of RNA Therapeutics

At Avidity Biosciences, we are passionate about the impact of every employee in realizing our vision of improving people’s lives by delivering a new class of RNA therapeutics. Avidity is revolutionizing the field of RNA with its proprietary AOCs, which are designed to combine the specificity of monoclonal antibodies with the precision of oligonucleotide therapies to address targets and diseases previously unreachable with existing RNA therapies. If you are a committed, solution-oriented thinker, join us in making a difference and become part of our growing culture that is integrated, collaborative, agile and focused on the needs of patients. 

Avidity Biosciences, Inc.'s mission is to profoundly improve people's lives by delivering a new class of RNA therapeutics - Antibody Oligonucleotide Conjugates (AOCs™). Utilizing its proprietary AOC platform, Avidity demonstrated the first-ever successful targeted delivery of RNA into muscle and is leading the field with clinical development programs for three rare muscle diseases: myotonic dystrophy type 1 (DM1), Duchenne muscular dystrophy (DMD) and facioscapulohumeral muscular dystrophy (FSHD). Avidity is broadening the reach of AOCs with its advancing and expanding pipeline, including programs in cardiology and immunology through internal discovery efforts and key partnerships. Avidity is headquartered in San Diego, CA. For more information about our AOC platform, clinical development pipeline, and people, please visit www.aviditybiosciences.com and engage with us on LinkedIn and X.

The Opportunity

The Senior Staff IT Analytics Engineer is accountable for deploying analytics solutions. As a senior technical member of the AI and Advanced Analytics organization, you will drive the design and development of scalable, efficient, and high-quality data models and pipelines that enable enterprise-wide analytics and data-driven decision-making. You’ll work hands-on with modern data technologies, mentor other engineers, and set the technical standards for data modeling, transformation, and pipeline orchestration. The ideal candidate brings deep technical expertise across data engineering and analytics, a strong data product mindset, and a proven track record of architecting reliable data solutions in cloud-native environments.

This position will work cross-functionally with clinical development, legal, finance, regulatory affairs, quality assurance, and IT, as needed.

What You Will Contribute

• Architect, design, build, and maintain robust, scalable data models and transformation pipelines using SQL, Python, and dbt.
• Lead the development of advanced orchestration workflows with Airflow or Dagster (or similar tools), ensuring pipeline reliability and observability.
• Shape and enforce best practices in cloud data engineering, including data modeling (e.g., star schema), testing, automation, and documentation.
• Partner closely with business, analytics, and engineering leaders to translate complex data needs into scalable solutions.
• Provide technical leadership and mentorship to other Analytics Engineers and Data Engineers.
• Evaluate, recommend, and implement new tools and technologies to enhance the data platform and workflows.
• Own the quality, security, and governance of analytics data assets, ensuring compliance with regulatory and internal standards.
• Optimize performance and cost-efficiency across cloud data warehouses like Snowflake, BigQuery, Databricks, or Redshift.
• Establish technical standards, processes, and frameworks for analytics engineering excellence.

What We Seek

• Bachelor’s Degree required; Advanced Degree preferred
• 10+ years of experience (BA/BS); or a Master’s degree with 8+ years of experience with modern data engineering using SQL & Python
• Mastery of dbt for modular, scalable, and testable data transformations
• Solid expertise in BI and visualization tools (e.g., Looker, Tableau, Mode) and their data modeling layers.
• Experience in Airflow, Dagster, or similar orchestration tools
• Experience in cloud data platforms such as Snowflake, BigQuery, and/or Databricks
• Expertise in Git-based version control and CI/CD processes for data assets
• Experience overseeing large-scale data initiatives, setting technical direction, and mentoring technical teams
• Team leadership experience within a cross-functional matrix environment
• Demonstrated excellent communication (oral and written), teamwork, organizational, interpersonal, and problem-solving skills
• Ability to travel as needed

●         The base salary range for this role is $171,000 - $189,000. The final compensation will be commensurate with such factors as relevant experience, skillset, internal equity and market factors.

●         Avidity offers competitive compensation and benefits, which include the opportunity for annual and spot bonuses, stock options, and RSUs, as well as a 401(k) with an employer match. In addition, the comprehensive wellness program includes coverage for medical, dental, vision, and LTD, and four weeks of time off.

●         A commitment to learning and development which includes a variety of programming internally developed by and for Avidity employees, opportunities for job-specific training offered by industry, and an education reimbursement program.

Avidity Biosciences

10578 Science Center Dr. Suite 125

San Diego, CA

92121

O: 858-401-7900

F: 858-401-7901

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