About the Engineering Team
The Engineering team at Syapse builds our revolutionary oncology decision support platform that empowers physicians to deliver consistent, high-quality precision cancer care. We’re scaling our data platform using distributed systems, stream processing, and microservices. To do this and tackle all our engineering challenges, our autonomous, customer value focused scrum teams work in short sprints and own product areas end to end. Our domain-based guilds (e.g. Data Semantics, Web Technology, Architecture) balance that by encouraging the building of communities and foster collaboration across teams.
As Syapse continues to grow, we’ll use advanced software engineering methods to expand the capabilities of the platform—and help deliver the best cancer care to every patient.
About the role
You will join our newly-formed ecosystem team whose focus is to develop data-intensive applications that are the bridge between our health-system customers and companies in the healthcare ecosystem pioneering the use of real world evidence in the treatment of cancer. As an early member of the ecosystem team, you will have a unique opportunity to establish new infrastructure and processes that enable us to deliver insights that drive the practice of precision medicine forward. You will design and build out the applications and tooling that make data more accessible and enable analytics pipelines, data visualization, and other services.
Our team is based out of Syapse’s East Coast office and takes pride in our unique culture and environment. Our mission as a company is a serious one, so you can expect to join a nimble team that strives for ever increasing standards of delivery with quality. Fortunately, when you love what you do and you are surrounded by great people, you can grow and accomplish more than you think possible.
What you bring to the table
- BS, MS, or Ph.D. in computer science or related field
- 5+ years relevant work experience
- Successful track record of manipulating, processing, and extracting value from large complex datasets
- Expertise in writing SQL and working with large-scale relational databases built on PostgreSQL, MySQL, or similar platforms
- Experience building solutions that leverage non-relational database technologies (DynamoDB, Cassandra, MongoDB, etc…)
- Strong programming skills in languages like Python, Ruby, or Java
- Skilled at working with a mix of structured and unstructured data from a variety of sources
- An affinity for simple solutions to complex problems
- A strong motivation to meet our mission
Bonus points if you
- Have experience working with AWS cloud technologies, especially DynamoDB, RedShift, Athena, and Kinesis
- Exposure to other big data tools: Hadoop, Spark, Kafka, etc…
- Understand distributed systems and patterns for data replication
- Switched from pre-med or biology to computer science in college
by via developer jobs - Stack Overflow
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