Scientific Data Architect/Engineer

Scientific Data Architect/Engineer – Life Sciences Data & AI

About the Role We’re seeking a

Scientific Data Architect/Engineer

to design and deliver next-generation data solutions that accelerate discovery across the life sciences.

You’ll work hands‑on with scientists and engineers to transform complex experimental workflows into scalable, cloud‑based data models, pipelines, and visualization tools.

If you love bridging

science, data, and engineering —and thrive in collaborative, high‑impact environments—this role is for you.

What You’ll Do

Partner with R&D teams to map and model scientific data workflows

Build scalable data pipelines and integrations using

Python , APIs, and cloud tools (AWS preferred)

Develop visualization and app frameworks (e.g.

Streamlit ,

Plotly ,

Holoviews )

Design extensible, reusable

data models

(tabular & JSON) for scientific data

Collaborate with business analysts, data scientists, and AI/ML engineers to deliver production‑ready solutions

Rapidly prototype and iterate through demos and stakeholder feedback

What You Bring

Ph.D. (7+ yrs) or M.S. (10+ yrs) in life sciences, bioinformatics, or computational disciplines

Proven experience designing

data architectures and pipelines

for scientific or R&D environments

Strong

Python

development skills; experience with APIs and data integration

Familiarity with

ELN/LIMS , scientific file formats, and lab informatics systems

Excellent communicator who can engage both technical and scientific stakeholders

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Research

Industries

Software Development and Biotechnology Research

Benefits

Medical insurance

Vision insurance

401(k)

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