Gene data Research Software Engineer, Crescens, Gaithersburg, MD


Crescens -
N/A
Gaithersburg, MD, US
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Gene data Research Software Engineer

Job description

Job Title : Gene data Research Software Engineer
Location: Gaithersburg, Maryland
Duration: Full Time
Type: Contract

Job Discription:
  • This role provides the opportunity for a talented and motivated research software engineer to develop end-to-end data management capabilities that will significantly impact the delivery of the Client biologics drugs of the future.
  • Work collaboratively with scientists across Biologics Engineering to develop end-to-end data management capabilities for biologics discovery.
  • Develop SQL code to configure and customize commercial Genedata Biologics software for tracking biologics discovery data from antibody screening, protein engineering and protein production.
  • Extend the functionality of Genedata Biologics by developing custom computational tools using its Java Software Development Kit, for data ingestion from lab instruments and for data analysis.
  • Collaborate with IT functions responsible for the deployment and maintenance of the live Genedata Biologics system and its integration with external databases.
  • Collaborate with web application developers to integrate the Genedata Biologics system with custom applications for experiment design and data analysis.
  • Collaborate with machine learning experts to develop an active learning system that continually trains machine learning models on data from biologics experiments and uses these data to inform subsequent experiments.
  • Learn about leading machine learning methods for biologics design and for active learning applied to biologics experiments.

Essential for the Role:
  • A master's degree or equivalent experience in computer science or in a relevant computational field.
  • Experience with SQL, including configuring and querying databases programmatically.
  • Experience developing high-quality software in Java or a related language.
  • Experience with software development best practices.
  • Experience working with Genedata Biologics or similar platform for biological data management. Experience working within a team environment.
  • Acts with integrity and does the right thing.

Desirable for the Role:
  • A PhD or equivalent research experience at the intersection of computational and biological sciences.
  • Knowledge of data formats for lab automation equipment.
  • Experience developing data analysis methods and an understanding of the data requirements for downstream machine learning.

Full-time 2024-06-29
N/A
N/A
USD

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