Nilo Therapeutics is seeking to solve the problem of developing groundbreaking therapies for autoimmune and inflammatory diseases by advancing human health through transformative science
Requirements
- Experience working with structured data (Excel, CSV, JSON, YAML, relational databases) as well as semi-structured and unstructured data (text, network graphs)
- Excellent analytical and programming skills, with expertise in Python and familiarity with related tools (e.g., R, Bash/CLI, Docker)
- Familiarity with API development frameworks (e.g., REST)
- Experience with cloud computing platforms and services — especially instances, storage, and databases
- Experience with a broad range of bioinformatic tools and methods, including sequencing QC and analysis workflows (and their associated datatypes such as FASTQ), as well as familiarity with workflow orchestration concepts for building reproducible pipelines
- Interest or experience in developing simple web applications
- Familiarity with workflow orchestration concepts for building reproducible pipelines
Responsibilities
- Work across a wide range of scientific datasets—multi-assay screens, sequencing-derived tables, imaging outputs, and vendor-specific instrument exports—organizing, standardizing, and automating data flows so they can be reliably used by downstream teams
- Build and maintain data pipelines, APIs, and internal tools that streamline ingestion, QC, annotation, and storage of experimental data, ensuring data integrity throughout
- Collaborate with scientists, project teams, and external CROs to clarify experimental context, define data templates, and manage data entry efforts — ensuring that data structures align with biological intent and that formatting and schema issues are resolved for consistent data quality
- Manage cloud-based data storage and database organization, helping maintain clear versioning, documentation, and discoverability
- Use Python to clean, validate, and explore new datasets, generating basic analyses or sanity checks that help guide downstream decisions
- Design, build, and maintain custom web-applications to perform automated analysis and/or report and visualize results
- Present findings in internal meetings, project teams, and external meetings as appropriate
Other
- B.S. or M.S. in bioinformatics, data science, data engineering, or a related discipline with 0-2 years of post-graduate experience
- Strong organizational skills and attention to detail, particularly in data management
- Strong problem-solving, communication, and collaboration skills
- Self-motivated, proactive problem solvers, excited to build and grow the company alongside a world-class team
- Comfortable with managing multiple projects and possess a resourceful, can-do attitude
