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Alamar Biosciences, Inc.

Internship - Bioinformatics Data Science

On site

Fremont, United states

Internship

03-03-2026

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Skills

Teamwork Python SQL Data Cleaning GitHub Version Control Quality Assurance Research Attention to detail Training Machine Learning Databases git Azure AWS cloud platforms Git/GitHub Organizational Skills GCP Data Science NLP

Job Specifications

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.

Alamar Biosciences is seeking a motivated intern to join our AI & Bioinformatics team for a hands-on role supporting data science and research operations. You will help collect, organize, and process scientific data from a variety of sources while building tools and workflows to improve efficiency and data quality. Working cross-functionally with engineering, bioinformatics, and product teams, you will gain exposure to real-world biotech challenges and contribute meaningfully to active projects. This is an excellent opportunity to develop technical skills in a fast-paced environment at the intersection of data science and life sciences.

Responsibilities

Collect, clean, and organize data from diverse scientific and public sources
Build and maintain databases and automated data processing pipelines using Python and SQL
Perform quality assurance on datasets, including validation with subject matter experts
Develop scripts and tools to streamline repetitive data workflows
Collaborate with cross-functional teams on data integration and analysis projects
Create clear technical documentation and standard operating procedures

Required Qualifications

Currently pursuing a degree in Bioinformatics, Computational Biology, Data Science, Computer Science, or a related field (rising junior, senior, or graduate student)
Proficiency in Python for data processing and automation
Experience with databases (SQL) and data cleaning techniques
Familiarity with Git/GitHub for version control
Strong attention to detail with excellent documentation and organizational skills
Self-directed and comfortable working independently on systematic, methodical tasks

Preferred Qualifications

Experience with scientific or research databases
Exposure to NLP, text processing, or machine learning concepts
Familiarity with cloud platforms (AWS, GCP, or Azure)
Background in biology, biochemistry, or life sciences

The base salary range for this full-time position is $25/hour - $35/hour. Our salary ranges are determined by work location, job-related skills, experience, and relevant education or training. The ranges displayed on each job posting reflect the minimum and maximum target for new hire salaries but are subject to change if the leveling of the role is adjusted. Your recruiter can share more about the specific salary range during the hiring process.

About the Company

Alamar Biosciences is powering precision proteomics with automated, high throughput solutions for ultra-high sensitivity protein analysis across a range of multiplex levels. Our proprietary NULISA™ Chemistry utilizes a novel sequential capture and release method that significantly reduces background signal and increases the sensitivity and dynamic range compared with standard approaches and allows both qPCR and NGS readouts. The NULISAseq Inflammation Panel contains 200+ important markers related to immune and inflammatory ... Know more