Job Title
Senior Computational Scientist: Algorithm Developer
Job Profile
We are looking for an exceptional computational scientist with a background in statistical physics, Bayesian biostatistics and / or probabilistic machine learning with experience in applying these tools to full genome sequence data. You will help guide algorithm development for the GNS REFS™ causal modeling platform focusing on problems in personalized medicine using multiple ohmic-scale integrated real-world datasets. You will work in an integrated team alongside physicists, geneticists and software engineers to develop products.
You have:
Ph.D. in Physics, Computer Science, or Applied Mathematics with relevant post-graduate research or work experience in numerical analysis and algorithm development
Experience working with full genome data, required
Experience learning from longitudinal / observational data, a plus
Experience developing Metropolis and Monte Carlo sampling methods
Experience with non-parametric Bayesian or generative methods are welcome
Ability to code in C , Java and Python
Knowledge of one of the statistical programming languages (e.g. R)
Corporate Culture
We are passionate about our work and believe that by creating evidence-at-scale, we can help transform healthcare. We look for curiosity, passion, drive and resiliency and value creative intelligence, open teamwork and dedication.
Most of all, we are looking for people who want their talents to make a difference in the real world, vs. designing the next hip app or launching the next meme. All the talent and energy under our roof goes into products that help real people avoid a medical emergency, or the emotional and financial stress of chronic disease. Our end-users' ability to grok big data impacts life, death, health and financial solvency for thousands of individuals and families. That’s why our engineering, math and design need to be insanely great.
Company Overview
GNS Healthcare helps healthcare leaders discover the knowledge they need to match patients with treatments that work. Our analytics solutions are being applied across healthcare: from pharmaceutical and biotechnology companies to payers, integrated delivery systems, and accountable care organizations (ACOs).
Our math and machine learning technologies derive causality - not just correlation - from mountains of health data. Where other companies describe the statistical ‘what’, our platform delivers the underlying explanation of ‘why’, if A and B, but not C and D happen, then X (for instance, a stroke) will happen. This enables intelligent interventions that save and improve lives and cut medical costs. By learning causal models directly from data, we quickly and more precisely discover what treatments work for whom.
GNS offers competitive salaries, vacation, stock options, health and dental insurance, long-term disability and a 401(k) plan.
Location: near Kendall Square, Cambridge, MA
EOE
Qualified candidates will be contacted within fourteen days of submitting their resume. No phone calls or recruiters, please.
|
|
|
Location: USA-MA-Cambridge |
|
|
 |
Posted on
Jul 27,2026 |
|
Company info
|
|
|
|
|
