Senior Manager, Bioinformatics Software

Alamar Biosciences•Fremont, CA

11d•$170,000 - $190,000

About The Position

At Alamar, we are passionate about enabling our customers to make scientific discoveries that translate into clinical outcomes and benefit patients. Our team is growing quickly as we develop innovative approaches to measure critical protein biomarkers from liquid samples that can enable the earliest possible detection of disease. We believe the next frontier in biology is enabled by measuring proteins at higher sensitivity in highly multiplexed assays at the push of a button, which is something only Alamar can do. As we build our team, we seek collaborative, driven, intellectually curious people committed to solving complex challenges. Our culture rewards accountability and cross functional teamwork because we believe this enables the kind of breakthrough thinking that will accelerate our mission. We are seeking a highly experienced and innovative Senior Manager of Bioinformatics Software to lead our software and analytics team. This role is pivotal in developing software solutions that interact with complex biological data, supporting R&D initiatives, and delivering advanced analytics for internal and external stakeholders. The ideal candidate will have a strong background in statistical programming, software development, and data analytics, with proven leadership experience.

Requirements

BS in Statistics, Biostatistics, Computer Science, or related field + 15 years, or MS + 13 years, or PhD + 9 years
Strong proficiency in Python for data analysis and software development.
Solid understanding of biostatistics principles and their application to biological datasets.
Experience in building and deploying software stacks for data analytics.
Excellent communication and collaboration skills for cross-functional and client-facing interactions.

Nice To Haves

Experience with R and Shiny for interactive data visualization.
Proven track record of partnering with external clients and KOLs.
Background in omics data analysis or similar biological domains.

Responsibilities

Lead biostatistics and analytics efforts to support R&D projects and external collaborations.
Design, develop, and maintain software stacks for biological data analysis.
Provide statistical expertise and advanced analytics services to internal teams and external clients.
Collaborate with Key Opinion Leaders (KOLs) and strategic partners to deliver high-quality insights.
Supervise and mentor a team of 2–4 software engineers and data scientists.
Ensure compliance with industry standards and best practices in data integrity and reproducibility.
Drive innovation in computational methods and tools for biological data analysis.