Research Data Scientist
System One · Pittsburgh, PA
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Jul 11, 2026
Pittsburgh, PA
Jul 21, 2026
What this job asks for AI summary
A research-focused data science role embedded in a therapeutics lab, centered on building and maintaining analytical pipelines, statistical models, and machine learning systems to process diverse datasets. Day-to-day work spans integrative analysis across multiple data sources, reproducible workflow development, and producing visualizations and reports to support research decisions. Best suited to a quantitatively trained candidate with hands-on pipeline and modeling experience.
Mid level · 3+ years · Pittsburgh, PA · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 250 people in the Pittsburgh, PA area plausibly meet what this posting asks for (data scientists). range 180–320
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $98,796 (middle half $74,401–$130,048).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role requires a Master's degree as a hard minimum; a Ph.D. is explicitly preferred but not required.
Python and R are listed together as interchangeable ('such as Python or R') under the Requirements section — captured as one skill with R as an alternative.
Machine learning is listed under Preferred Qualifications despite also appearing in the Responsibilities section; it is treated as preferred since the requirements section only calls for 'statistical analysis and data interpretation' broadly.
Data visualization tools, cloud platforms/big data tools, and data infrastructure experience all appear exclusively under Preferred Qualifications.
The alt SOC (15-2031) was considered given the heavy statistical/analytical framing, but the explicit ML modeling and pipeline-building scope aligns more squarely with 15-2051 Data Scientists.
No compensation range was provided in the posting.
Read the full posting
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