Boston Tech Jobs and Startup Jobs

4

Software Engineer, Platform

PathAI
Greater Boston Area
2 days ago
+21
We're looking for a skilled and experienced engineer to join our team and help lay the groundwork for our growing software platform. We believe in using the best tool for the job. While we’re always looking to improve, in this role, those tools currently include: Amazon Web Services Kubernetes Python Docker Elasticsearch

Geospatial Senior Backend Engineer

DataRobot
Greater Boston Area
4 days ago
5 years of Python experience working in a large distributed software system (not just web-dev), ideally designing entire workflows or with other kinds of architecture responsibilities. Experience using Python tools for geospatial data, such as Shapely, GDAL or GeoPandas. In the interview process you will be evaluated on your performance in a number of coding test and design test scenarios - be prepared to think!

Field Data Engineer

Solutions Engineer - Reliability

Grubhub
Greater Boston Area
4 days ago
+29
LevelUp is seeking a talented, driven individual, who loves to know everything about everything, to join our Ordering Integrations team. As an Integrations Solutions Engineer, you will be part of a team responsible for maintaining and improving the health of our order ahead platform integrations, crushing bugs, and thinking down the line to improve the product. This position requires a mix of technical and business acumen, and is excellent for those who thrive in fast-paced, dynamic environments with an interest in software development, operations, and testing.

Senior Bioinformatics Scientist

PathAI
Greater Boston Area
1 week ago
+21
Lead bioinformatics efforts in a team setting of fellow scientists and machine learning engineers. Cross-functional collaboration with other teams to integrate large-scale datasets and use bioinformatics to define the factors associated with drug response and resistance. Develop computational methods and build tools to enable data-driven patient stratification and inform the development of clinical decision support products. Identify scientifically relevant findings within datasets spanning multiple modalities. Develop scalable computational solutions to further clinical data analysis automation across projects. Communicate findings both internally and externally and recommend follow up actions.

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