Apache Airflow, Argo, AWS, Azure, Bioinformatics, Continuous Integration & Continuous Delivery - CI/CD, Data pipelines, Data science techniques, Data Warehousing, Database, DevOps, Elasticsearch, Git, Google Cloud Platform (GCP), GraphQL, gRPC, Jupyter Notebook, Machine learning techniques, PostgreSQL, REST API, Streaming APIs
Betteromics is a Data Engineering Platform for Life Sciences.
We are a team of mission-driven professionals, with combined experiences from academia, science and technology companies. We believe that life science product development can be accelerated with industrial strength software platforms to generate, prepare, process and utilize large and complex multi-modal molecular datasets using the best-in-class ML and data science practices.
Our Values:
What we look for in our ideal Betteromics team member
We are looking for Customer Success Engineers proficient in:
be the voice of the customer, and translate their needs into product requirements, collaborate
with eng & product teams to address them.
sprints and iterating on customer requirements
in python, javascript, etc
customer needs.
as Terraform, Helm, log aggregation, load balancing
Sentry, Prometheus, Honeycomb request tracing, etc
Jenkins), build tools (Bazel, Gradle, etc.)
warehouse (Snowflake), cloud storage (S3), event management (Kafka, Lambda)
Secrets Vaults, Identity Aware Proxies, etc)
clinical data, EHRs, Electronic Lab Notebooks (e.g. Benchling), etc
Your impact:
Benefits & Perks:
Generous Medical, Vision, and Dental Plans, 401K, Paid Maternity and Paternity
Building the Future of Data Engineering for Life Sciences .