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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
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