Internship - Bioinformatics Data Science
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. 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.
Requirements
- 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
Nice To Haves
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
