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.