Bioinformatics Intern

Duration: Six months

Format: Full time (40 hrs/week), paid

In the last year at Loka, our teams launched almost 200 GenAI projects for companies of all kinds, including the world’s Number 1 GenAI reading tutor, a startup that transforms homes into batteries and a leading cancer-fighting laboratory. And we did it all while enjoying every other Friday off 😎

As a Bioinformatics Intern, you'll gain professional experience supporting Loka’s certified specialists on Data Engineering (DE) and Machine Learning (ML) projects in Bioinformatics and Life Sciences. This internship is an opportunity to sharpen your skills, contribute to impactful projects and build a strong portfolio in computational biology.

The Role

• Collaborate with Loka’s engineers to develop bioinformatics workflows and contribute to DE/ML projects in Life Sciences.
• Assist in training machine learning models by preparing and processing data, running experiments and analyzing results.
• Explore and visualize biological data, identifying data quality issues and potential biases that may impact performance.
• Investigate model errors and help refine ML workflows based on insights from biological data.

Required Hard Skills

• Final-year bachelor’s student in Bioinformatics, Computational Biology, Biology or a related field.
• Proficient in English
• Basic knowledge of Python, machine learning and data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn).
• Problem solving
• Experience visualizing and manipulating big datasets

Not Required but Good to Have

• Familiarity with Omics datasets, such as RNA-Seq (transcriptomics), ATAC-Seq (epigenomics), or Whole Genome Sequencing (WGS)
• Familiarity with relevant bioinformatics data formats across the primary, secondary and tertiary steps of Omics analysis
• Experience in developing bioinformatics workflows
• Knowledge of protein engineering concepts and experience with protein structure databases like PDB (Protein Data Bank) or UniProt
• Experience in chemoinformatics, including the use of databases/tools like RDKit, PubChem, ChEMB or molecular docking techniques
• Exposure to Bio-focused Large Language Models (Bio LLMs) and their applications in scientific research
• Participation in Kaggle competitions related to bioinformatics, life sciences or data science

Required Soft Skills

• Curiosity: You’re ambitious to learn and grow in different industries utilizing a modern tech stack.
• Autonomy and positivity: We’re a fully remote, globally distributed team.
• Teamwork: Enjoy a collaborative approach.
• Adaptability: Operate with a startup mindset and move at a startup pace.
• Dependable: You can be trusted to deliver high-quality work.

Benefits

• Every other Friday off 
• Remote and flexible
• Paid sick days and local holidays

Please submit your CV in English.