Senior Software Engineer at Superluminal Medicines, Inc.
Boston, MA
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Jul 16, 2026
Boston, MA
Jul 21, 2026
What this job asks for AI summary
A senior backend engineering role focused on building and maintaining the systems that move scientific data through a drug discovery organization. Day-to-day work spans compound registration, experimental data ingestion and transformation, integrations with lab and third-party scientific platforms, and the pipelines connecting wet lab workflows to a broader data platform. Suited to an experienced engineer comfortable making architectural decisions and collaborating closely with research scientists.
Senior level · 5+ years · National
“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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
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 (8)
No work location or metro area is specified in the posting; CBSA left blank. The company (Superluminal Medicines) appears to be a biotech startup, likely US-based, but no city is stated.
The minimum experience requirement is '5+ years'; the preferred qualification of '8+ years' is listed under Preferred Qualifications and does not raise the hard gate.
Python is explicitly required with '3+ years' stated in the Minimum Qualifications section.
Docker and Kubernetes appear together as a single requirement ('containers and modern deployment patterns using Docker and Kubernetes') in Minimum Qualifications; both are emitted as separate hard-gate skills since they are distinct tools used together.
BigQuery, dbt, and Dagster appear only under Preferred Qualifications ('or similar modern data platforms and orchestration tools'); treated as preferred accordingly.
Infrastructure-as-code appears only under Preferred Qualifications; common substitutes (Terraform, Pulumi) listed as alternatives since no specific tool is named.
Domain experience with LIMS, ELNs, compound registration, cheminformatics, and drug discovery data is listed under Preferred Qualifications — these are domain/context qualifications rather than named technologies and are omitted from the skills list per extraction rules.
Degree requirement is None: the JD explicitly accepts 'equivalent professional experience' in lieu of a Bachelor's degree.
Read the full posting
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