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Lead Computational Scientist Jobs (NOW HIRING)

Role: Lead Computational Social Scientist   About interos.ai:  interos.ai is the standard for ... You will lead model-driven projects, collaborate closely with engineering and product teams, and ...

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and ... pace of computational science technology development and deployment. * Frame computational ...

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and ... pace of computational science technology development and deployment. * Frame computational ...

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and ... pace of computational science technology development and deployment. * Frame computational ...

As a Computational Scientist , you'll enable modeling breakthroughs to drive groundbreaking ... Lead and participate in theoretical and computational projects to advance the state-of-the-art in ...

As a Computational Scientist , you'll enable modeling breakthroughs to drive groundbreaking ... Lead and participate in theoretical and computational projects to advance the state-of-the-art in ...

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Lead Computational Scientist information

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$27K

$112.7K

$200.5K

How much do lead computational scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for lead computational scientist in the United States is $112,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What is a lead computational scientist?

Lead Computational Scientists are experts who oversee complex computational projects, often within scientific or research-driven organizations. They are responsible for developing and implementing advanced algorithms, managing large datasets, and guiding teams of other scientists or engineers. Their work often involves collaborating with cross-disciplinary teams to solve challenging scientific problems using computational methods. In addition, they play a key role in setting research directions, mentoring junior staff, and ensuring the technical quality of project deliverables.

What skills and qualifications are needed to be a lead computational scientist?

To thrive as a Lead Computational Scientist, you need advanced expertise in computational modeling, data analysis, and a PhD or equivalent experience in a quantitative science. Familiarity with programming languages (such as Python or R), high-performance computing environments, and specialized software tools is typically required. Leadership, problem-solving, and effective communication are essential soft skills for managing teams and collaborating across disciplines. These skills enable effective project delivery, foster innovation, and ensure that complex scientific problems are solved efficiently.

How does a lead computational scientist collaborate with cross-functional teams in a research organization?

A Lead Computational Scientist often works closely with experimental scientists, data engineers, and software developers to design and implement computational solutions for complex research problems. They act as a bridge between computational methods and practical applications, ensuring models and simulations align with project goals. Regular meetings, code reviews, and interdisciplinary brainstorming sessions are common, fostering an environment of knowledge sharing and innovation. Effective communication and adaptability are key, as priorities can shift based on evolving research directions.

What cities are hiring for Lead Computational Scientist jobs?

Cities with the most Lead Computational Scientist job openings:

What states have the most Lead Computational Scientist jobs?

States with the most job openings for Lead Computational Scientist jobs include:

What are popular job titles related to Lead Computational Scientist jobs?

For Lead Computational Scientist jobs, the most frequently searched job titles are:

Infographic showing various Lead Computational Scientist job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $112,722 per year, or $54.2 per hour.

Lead Computational Scientist

Rochester, NY • On-site

University of Rochester
Colleges, Universities, and Professional Schools • 10K+ employees

$86K - $130K/yr

Other

Posted 22 days ago


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 189 frontline employees who took The Breakroom Quiz

130th of 633 rated colleges and universities


Job description

## Lead Computational ScientistApplylocations: Bausch & Lombtime type: Full timeposted on: Posted Todayjob requisition id: R272994As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.**Job Location (Full Address):**284 Hutchison Rd, Rochester, New York, United States of America, 14627**Opening:**Worker Subtype:RegularTime Type:Full timeScheduled Weekly Hours:40Department:100905 CIRCWork Shift:UR - Day (United States of America)Range:UR URG 114Compensation Range:$86,900.00 - $130,300.00*The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.***Responsibilities:**Provides research support for the integration of computing hardware and software tools for accomplishing research tasks across a variety of scholarly disciplines. Partners with faculty, students and research staff across various departments and research centers to understand scientific problems and the application of advanced research computing tools to help achieve research outcomes. Recommends computational and/or visualization tools, techniques and methodologies, and serves as an architect and developer for the computational aspect of research investigations. Develops, ports, installs and optimizes software for high performance computing and data-intensive architectures, including Graphics Processing Units (GPUs), massively-parallel systems, and cloud environments. Teaches workshops and tutorial sessions focused on scientific programming and data analysis. Guides students, faculty and collaborators to assist with research project development and implementation. Develops, maintains and improves department computing and visualization infrastructure. Consults on computational research project design and implementation.**ESSENTIAL FUNCTIONS*** Serves as a consultant, collaborator or co-investigator on one or more sponsored research projects while working collaboratively with principal investigators, research staff, and students on projects. Oversees and mentors students and research staff. Contributes technical and analytical content for research publications. Presents or contributes to scientific presentations.* Installs, maintains, and supports scientific applications and libraries in a variety of high performance computing environments, including the support of specialized components such as accelerators (GPUs), parallel file systems, low-latency networks, specialized visualization systems, virtual machines, and cloud-based systems. Works with system administrators, network engineers or other professionals to design, build, and maintain research computing software and hardware systems. Develops, ports, and optimizes applications supporting high-performance computing (HPC) and cloud-based architectures. Serves as architect and developer for the computational aspect of research investigations.* Provides technical end-user support for faculty, student, and research staff who utilize CIRC systems. Develops documentation and provides support to diagnose issues and provide solutions.* Develops training materials, conducts workshops, and serves as a guest lecturer in courses that leverage CIRC technologies.* Remains current on trends as they relate to the research computing field, with particular emphasis on high performance computing environments. Contributes to manuscripts and proposals based on developments in research and technology and evolving needs.* Other duties as assigned.**MINIMUM EDUCATION & EXPERIENCE*** PhD in a scientific or engineering related discipline with a computational focus and 3 years of related experience required* Or equivalent combination of education and experience* Experience with computer simulations, data analytics, computational tools, high-performance computing software and/or supercomputing hardware required* Experience designing, writing and porting scientific applications required* Experience developing computational tools and constructing data analysis pipelines required* Experience developing or debugging software and using software management systems required* Experience conducting and/or publishing research preferred* Experience supervising research students preferred* Experience as a faculty member or educator preferred**KNOWLEDGE, SKILLS AND ABILITIES*** Knowledge of programming with a high-level programming language such as C/C++, Fortran, or Java required* Knowledge of shell scripting and interpreted programming languages such as Perl, Python, R, etc. required* Knowledge of parallel programming techniques and libraries such as MPI, OpenMP and CUDA required* Strong verbal and written communication skills including strong presentation skills required* Ability to manage programming projects, collaborations, and personnel in an academic environment required* Multidisciplinary research projects spanning a variety of fields preferredThe University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law. #J-18808-Ljbffr

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