Data Associate — Scientific Data Curation for Machine Learning in Drug Discovery
The Opportunity
Machine learning models for drug discovery are only as good as the data behind them, and scientific datasets rarely arrive clean: they come from many sources, at large scale, and in inconsistent formats. This early-career role helps a machine learning team turn that material into well-organized, well-documented datasets, structuring the data, recording its metadata, and keeping its provenance accurate so researchers can find it and trust where it came from.
The client is a New York–based research company in computational biochemistry and drug discovery. The position is expected to run for two years and includes full benefits.
The Research Environment
The client combines specialized computing hardware it designed in-house with high-performance commodity systems, machine learning, and other computational methods to model molecular behavior at the atomic level and design highly selective drug candidates. That work spans in-house programs and drug discovery efforts run with outside partners.
What You'll Do
- Process large scientific datasets from drug discovery and development research for use by the machine learning team.
- Structure data drawn from diverse sources into consistent, usable formats.
- Catalog metadata so datasets are easy for researchers to locate and reuse.
- Track data provenance so the origin and history of each dataset stays accurate.
- Partner with machine learning researchers to organize the data their work depends on.
What You Bring
<>Required
- A STEM degree.
- Hands-on experience working in a Linux environment.
- Working knowledge of Python and SQL.
<>Also Valued
- Experience handling Large-Scale Datasets and structuring data from varied sources.
- Experience with Metadata Cataloging and Data Provenance.
Paths Into This Role
entry level candidates whose coursework or research involved organizing experimental or computational data, in fields such as Chemistry, Biology, Bioinformatics, Physics, or Computer Science, will find that experience applies directly to this work.
Compensation & Total Rewards
- Expected annual base salary: $170,000–$210,000, set according to factors such as experience and education.
- Sign-on and year-end bonuses as variable pay.
- Full benefits, plus relocation support.
Joining StaffRight Associates
When you work with StaffRight Associates, you get a recruiting partner who understands the substance of your work and represents it accurately to the teams hiring for it. We focus on matching researchers with problems worth their training, and we'll give you a clear, candid picture of each opportunity before you decide to pursue it.
