Postdoctoral Associate

Stony Brook University; Stony Brook, Northern (NY, KY); On-site; USD 60,000 - 72,000; Full time

Job summary

Stony Brook University invites applications for two Postdoctoral Researchers to join a program on the mathematical and computational theory of stochastic gene expression. The Grima group has relocated to Stony Brook University and offers an opportunity to establish the lab’s research program while pursuing an active international agenda.

The successful candidates will work at the interface of applied mathematics, statistical inference, machine learning, and quantitative biology, developing

Qualifications

• PhD (or foreign equivalent) in a quantitative field by the start of the appointment.
• Strong background in stochastic processes, probability theory, dynamical systems, statistical mechanics, machine learning or applied/computational mathematics.
• Demonstrated ability to carry out original mathematical derivations and/or develop computational tools, evidenced by publications, preprints, or thesis work.
• Proficiency in a scientific computing language (Python, MATLAB, Mathematica, Julia, R or C/C++).

Responsibilities

• Develop mathematical and computational approaches, including machine learning tools, to study how genes are switched on and off and how they interact — and fit these models to single-cell data to test how well they explain what's actually observed.
• Co-author manuscripts for submission to leading quantitative biology, applied mathematics, and biophysics journals.
• Present research at group meetings, seminars, and international conferences.
• Mentoring of graduate/undergraduate students as opportunities arise.
• Other duties as assigned.

Skills

Stochastic processes

Publications

Machine learning

Mathematical derivations

Education

PhD in a quantitative field

Tools

Python

MATLAB

R

C/C++

Julia

Job description

Job Description - Postdoctoral Associate (2603244)

Postdoctoral Associate

Required Qualifications

• PhD (or foreign equivalent) in Applied Mathematics, Physics, Theoretical/Computational Biology, Bioengineering, or a closely related quantitative field in hand by the start of the appointment.
• Strong background in one or more of: stochastic processes, probability theory, dynamical systems, statistical mechanics, machine learning or applied/computational mathematics.
• Demonstrated ability to carry out original mathematical derivations and/or develop computational tools, evidenced by publications, preprints, or thesis work.
• Proficiency in a scientific computing language (Python, MATLAB, Mathematica, Julia, R or C/C++).

Preferred Qualifications

• Prior experience with the Chemical Master Equation, Stochastic simulation algorithms, and approximation methods.
• Experience with single-cell or spatial transcriptomic data analysis.
• Familiarity with machine learning and deep learning methods (e.g., CNNs, LSTMs, transformer architectures) applied to biological data.
• A track record of independent or co-led research projects and first-author publications.

Brief Description:
The research group of Prof. Ramon Grima invites applications for 2 Postdoctoral Research Associates to join a program of work on the mathematical and computational theory of stochastic gene expression. The group has recently relocated to Stony Brook University, and this appointment offers the opportunity to help establish the lab’s research program at its new home while continuing an active, internationally collaborative research agenda.

The successful candidates will work at the interface of applied mathematics, statistical inference, machine learning, and quantitative/systems biology, developing methods that connect single-cell and spatial transcriptomic data to mechanistic, biophysically grounded models of gene regulation. There is also scope to work on exact and approximate solutions of stochastic models of gene regulatory systems with complex dynamics. This includes the derivation of steady-state and time-dependent mRNA/protein number distributions, first-passage time distributions to threshold crossing, and mutual information rates. Applications span both spatial and non-spatial systems, using discrete and continuum Markovian frameworks (chemical master equations and Fokker-Planck equations), as well as non-Markovian approaches.

The Grima group develops the mathematical and computational theory of stochastic gene expression, combining exact and approximate solutions of stochastic models with noise-decomposition and inference methods to extract kinetic and regulatory information from single-cell data. This work is complemented by computational tools spanning stochastic simulation, machine learning, and deep learning, and is carried out in collaboration with mathematicians, physicists, and experimental biology groups internationally.

Duties

• Develop mathematical and computational approaches, including machine learning tools, to study how genes are switched on and off and how they interact — and fit these models to single-cell data to test how well they explain what's actually observed.
• Co-author manuscripts for submission to leading quantitative biology, applied mathematics, and biophysics journals.
• Present research at group meetings, seminars, and international conferences.
• Mentoring of graduate/undergraduate students as opportunities arise.
• Other duties as assigned.

Special Notes

Special Notes:
The Research Foundation of SUNY is a private educational corporation. Employment is subject to the Research Foundation policies and procedures, sponsor guidelines and the availability of funding. FLSA Exempt position, not eligible for the overtime provisions of the FLSA. Minimum salary threshold must be met to maintain FLSA exemption.

Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning, and working environment. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information, veteran status and all other protected classes under federal or state laws.

If you need a disability-related accommodation, please call the university Office of Equity and Access (OEA) at [phone] or visit OEA .

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Job Number

2603244

Official Job Title

Postdoctoral Associate

Job Field

Post Doctoral

Primary Location

Stony Brook University

Schedule: Full-time

Shift: Day Shift

Shift Hours: 9a to 5p

Appointment Type : Regular

Salary Grade

E89

SBU Area

The Research Foundation for The State University of New York at Stony Brook

Posting Start Date

Sep 8, 2026

Posting End Date

Oct 9, 2026, 3:59:00 AM

The starting salary range (or hiring range) to be offered for this position is noted below, it represents SBU’s good faith and reasonable estimate of the range of possible compensation at the time of posting.