GENETICS & GENOMICS PROGRAMMER AND DATA ANALYST, School of Medicine, Genetics, Molecular Medicine at Boston University
MA
$62,525from the description
Jul 5, 2026
MA
Jul 20, 2026
What this job asks for AI summary
A bioinformatics role focused on building and maintaining analysis pipelines for genetics and genomics research across Alzheimer's disease, substance use disorders, and age-related macular degeneration. The work involves processing NGS datasets spanning genomic, transcriptomic, epigenomic, and proteomic data, conducting risk prediction analyses, and supporting faculty and collaborators with data interpretation, manuscript preparation, and training.
Mid level · 3+ years · National · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 $83,282 (middle half $62,086–$109,537). This posting is about at that midpoint.
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)
This is a bioinformatics / computational genomics research role, most closely aligned with Mathematical Science Occupations (15-2099) given its specialized genetics/genomics analysis focus; 15-2051 Data Scientists is a reasonable runner-up given the heavy statistical and programming emphasis.
The 3-year requirement is stated as '3 years relevant work or graduate education experience,' meaning graduate study counts — this lowers the effective bar and supports a Mid-level classification rather than Senior.
Only a salary floor ($62,525/year) is provided; no upper bound is stated.
Biological/statistical knowledge is explicitly called 'preferred but not required,' so it is marked as preferred.
Python and Perl are listed as interchangeable alternatives ('Python or Perl'); R is listed as a separate, standalone required skill.
NGS pipeline development and GWAS are described as core responsibilities and are treated as hard requirements given the role's explicit focus on those domains.
Read the full posting
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