bioinformatics consultant

Diamond Age Data Science - Turning biological complexity into clarity for life‑changing science.

Diamond Age Data Science is an integrated bioinformatics and data science partner for life science companies, helping teams make confident, data‑driven decisions that advance scientific programs. Our scientists work at the intersection of biology, statistics, and computation, tackling complex, real‑world questions arising from genomics and other high‑dimensional biological data. People who thrive at Diamond Age enjoy meaningful analytical work, clear problem ownership, and the opportunity to see their contributions directly influence scientific progress.

Opportunity

Diamond Age Data Science is hiring for an upcoming part-time (20 hours), full‑time (40 hours), time‑bound (6‑month) client-facing roles supporting our genomics‑focused data science and bioinformatics work. We anticipate hiring for multiple roles over the coming months and want to connect with people who are excited by hands-on, applied analysis of real biological data.

Employment Options:

Depending on the role and project, positions may be structured in one of the following ways:

• Full-time Temporary roles (6-month) (Massachusetts only): W‑2 positions with a defined duration (typically 6 months), generally full‑time (40 hours per week) (Mass.
• Part-time Temporary roles (6 Months) (Massachusetts only): W‑2 positions with a defined duration (typically 6 months), part‑time (20 hours per week)
• 1099 Contractors: independent contractor roles for specific project work.

What You’ll Likely Work On

Depending on the role and project, work may include:

• Building and refining genomics and omics data pipelines
• Performing exploratory data analysis in biological context
• Developing statistical or computational models grounded in experimental questions
• Translating complex analytical results into clear scientific recommendations
• Collaborating closely with scientists, engineers, and analysts
• Documenting assumptions, methods, and interpretations with scientific rigor

What We’re Looking For

We’re interested in candidates with experience in some combination of:

• 3 years experience in diagnostics or similar regulated production environments required.
• Expertise designing, building and maintaining genomics pipelines for validated production systems. 
• MS or higher in bioinformatics, genomics data science, or computer science, and work experience in all three. 
• Python and AWS expertise required. Amazon Omics and WDL experience a plus.
• Daily execution of software engineering development best practices (e.g. source control, dev lifecycle, standups, code reviews, unit tests, and writing robust documentation).
• Delivering work independently while contributing thoughtfully to a collaborative team.

We value scientific judgment, practical experience, and problem‑solving ability over any single credential. We’re especially interested in people who value building robust, scientifically top-notch tools as essential components of life sciences and healthcare infrastructure.