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Biological Structures Data Engineer I/II
Build and maintain data pipelines for protein–ligand structures and affinity data to train AI models, working with .cif/PDB files and integrating public/proprietary sources.
Software Developer
Develop and maintain APIs and systems for secure archiving and distribution of human genetic data using Java/Spring Boot and Kubernetes, ensuring FAIR data principles and high-volume encrypted data streaming.
Data Scientist
Analyze clinical and real-world health data to derive insights, build statistical models, and support medical publications and product decisions using Python, SQL, and Spark.
Senior Full Stack Engineer
Build and maintain a full-stack AI platform for regulated drug development, using React, Next.js, TypeScript, Python, and GCP infrastructure to deliver compliant, scalable workflows for scientists.
Senior AI/ML Engineer — Data Science & MLOps
Build and deploy AI/ML models with MLOps pipelines using Python, Docker, and GPU infrastructure for large-scale batch inference.
Data Platform Engineer
Build and maintain biomedical data pipelines and Gen3 data commons to enable AI-driven health research and national research infrastructure.
Principal Data Engineer
Principal Data Engineer designs and optimizes secure data pipelines, warehouses, and real-time systems for a biotech company, using Python, Spark, Kafka, and cloud platforms.
Principal Data Engineer
Principal Data Engineer designs and optimizes secure, scalable data pipelines (ETL/ELT) and warehouses for real-time/batch processing, ensuring data quality and compliance in a biotech environment.
Senior Staff Data Engineer
Designs and builds petabyte-scale data pipelines to ingest, transform, and prepare heterogeneous biological datasets (genomics, imaging, metadata) for AI model training, ensuring scalability, reliability, and scientific accuracy to accelerate disease research.
Software Engineer
Build and maintain healthcare software solutions in a two-year rotational program, learning full-stack development and AI tools while improving patient outcomes.
Data Scientist (Clinical Data)
Build and standardize clinical data pipelines for a universal AI foundation model in biology, mapping messy real-world data to ontologies and enforcing QC for AI-ready datasets.
Director of Data Science and Bioinformatics
Lead a team to build and scale genomic data science and bioinformatics pipelines, architect AWS infrastructure, and implement MLOps for clinical-grade sequencing algorithms.
HPC Cloud Engineer
Design, deploy, and maintain HPC cloud infrastructure to support health sciences research, bioinformatics, and AI workloads.
Bioinformatics Pipeline Test Engineer
Designs and runs tests for next-generation sequencing pipelines and bioinformatics workflows, automating validation with Python to ensure data accuracy and pipeline reliability.
Bioinformatics Pipeline Junior Test Engineer
Build and test bioinformatics pipelines for Next Generation Sequencing and PCR applications, ensuring software quality and reliability in a regulated healthcare environment.
Software Engineer
Develops AI/ML and bioinformatics tools to analyze biological datasets for national security, biomedical defense, and public health applications.
Senior Data Scientist
Designs AI-driven data pipelines and statistical models to discover drug candidates, integrating biological and chemical data while collaborating with cross-functional teams.
Senior Applied AI & ML Engineer - Evinova
Build AI/ML systems that design better clinical trials using GenAI, agentic frameworks, and scientific datasets to cut costs and speed up drug development.
Technical Product Manager
Owns the backlog and sprints for a nanopore-sequencing software team, bridging biology, hardware and agile delivery to ship features that power real-time DNA/RNA analysis.