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$83.5K

$102.5K

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How much do scientific software jobs pay per year?

As of May 29, 2026, the average yearly pay for scientific software in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Scientific Software roles, and why are they important?

To excel in Scientific Software roles, you need a strong background in computer science, mathematics, or a scientific discipline, along with demonstrated programming proficiency (often in Python, C++, or MATLAB). Familiarity with version control systems (like Git), scientific computing libraries, and sometimes specialized tools (e.g., HPC clusters or cloud platforms) is typically expected. Strong analytical thinking, problem-solving, and effective communication skills help bridge the gap between scientific users and technical implementation. These skills ensure the creation of robust, efficient, and user-friendly software that accelerates scientific research and discovery.

How does a Scientific Software professional typically collaborate with domain scientists and research teams?

Scientific Software professionals often work closely with domain scientists, researchers, and data analysts to develop and maintain tools that enable scientific discovery. Collaboration usually involves requirements gathering, iterative feedback on prototypes, and integrating scientific algorithms into user-friendly applications. Effective communication skills are crucial, as you’ll be translating complex scientific needs into robust, efficient code and ensuring the software meets both research objectives and usability standards. Team environments tend to be interdisciplinary, offering the opportunity to learn from experts in various scientific fields while contributing your technical expertise.

What is a scientific software developer?

A scientific software developer is a professional who designs, creates, and maintains software tools and applications used for scientific research and data analysis. These developers work closely with scientists and researchers to translate complex scientific problems into computational solutions. Their work often involves programming, algorithm development, and optimizing code for high-performance computing environments. Scientific software developers play a critical role in fields like physics, biology, chemistry, and engineering by enabling researchers to process and visualize large datasets, simulate experiments, and gain insights from data.

What is the difference between Scientific Software vs Data Analyst?

AspectScientific SoftwareData Analyst
Required CredentialsTypically requires degrees in science, engineering, or computer science; coding skillsUsually requires degrees in statistics, mathematics, or related fields; strong analytical skills
Work EnvironmentResearch labs, scientific institutions, academia, industry R&DBusiness, finance, healthcare, marketing sectors
Employer & Industry UsageUsed by scientists and engineers for simulations, modeling, data analysisUsed by companies for data interpretation, reporting, decision-making

Scientific Software professionals focus on developing and utilizing specialized tools for scientific research and simulations, often working in research environments. Data Analysts interpret data to inform business decisions across various industries. While both roles require analytical skills and familiarity with data, Scientific Software roles emphasize scientific computing and programming, whereas Data Analysts focus on data interpretation and visualization.

More about Scientific Software jobs
What cities are hiring for Scientific Software jobs? Cities with the most Scientific Software job openings:
What states have the most Scientific Software jobs? States with the most job openings for Scientific Software jobs include:
What job categories do people searching Scientific Software jobs look for? The top searched job categories for Scientific Software jobs are:
Scientific Software jobs near you

Software Developer | Scientific Computing Engineer

StaffRight Associates, LLC

Manhattan, NY

Other

Posted 19 days ago

Job description

Preface

This engagement focuses on the critical intersection of Computational Drug Discovery and Foundational Machine Learning, requiring a practitioner who operates at the nexus of molecular modeling and high-performance software engineering. StaffRight Associates is seeking an individual with an elite academic pedigree possessing a Ph.D. or Master’s in Computer Science, Computational Chemistry, or a related quantitative field.who maintains a first-principles mastery of algorithmic efficiency.

The successful candidate will bridge the gap between theoretical biophysics and scalable production systems, translating complex cheminformatic requirements into robust, automated architectures that accelerate the drug discovery lifecycle.

The Mission

As a key contributor within a high-stakes scientific ecosystem, you will engineer the foundational infrastructure that powers advanced molecular simulations and generative AI initiatives. Your mission is to decouple technical friction from scientific inquiry, building resilient, high-throughput software environments that enable researchers to interrogate chemical space at unprecedented scales. This role demands a systematic approach to technical synthesis, ensuring that every integration, pipeline, and automated workflow drives meaningful progress in therapeutic innovation.

Core Technical Objectives

  • Orchestrate and sustain sophisticated software ecosystems, ensuring the continuous availability and resilience of tools critical to drug discovery and neural network modeling.

  • Engineer bespoke cheminformatic workflows and data analysis sequences that automate the ingestion and interpretation of complex molecular datasets.

  • Formalize and deploy scientific data pipelines, establishing seamless integrations with external high-performance computing (HPC) services and third-party data providers.

  • Synthesize comprehensive technical documentation to codify system architecture, ensuring long-term maintainability and knowledge transfer within the research group.

  • Optimize the end-user computational environment by identifying and mitigating performance bottlenecks in the scientific software stack.

Candidate DNA

  • Algorithmic Proficiency: Advanced command of Python for the automation of intricate scientific workflows, with a strong preference for candidates capable of low-level optimization in C++.

  • Architectural Philosophy: A deep-seated commitment to improving computing environments through a Systems-First mindset, particularly concerning generative and agentic AI frameworks.

  • Infrastructure Mastery: Extensive experience navigating and managing Linux/UNIX environments, including the deployment and troubleshooting of specialized scientific software suites.

  • Functional Expertise: Proven ability to manage and manipulate vast chemical databases, ensuring data integrity across computational drug discovery platforms.

Academic & Research Pedigree

  • Educational Foundation: An advanced degree (Ph.D. or Master’s) in a STEM discipline with a heavy emphasis on computational methods, structural biology, or machine learning.

  • Mathematical Rigor: Demonstrated ability to apply mathematical logic and statistical rigor to the development of software solutions.

  • Research Impact: A track record of academic or professional excellence in refining the tools of discovery, specifically where code intersects with physical or biological systems.

Partnering with StaffRight Associates

At StaffRight Associates, we operate at the intersection of technical synthesis and structural alignment. We don’t just match resumes to keywords; we map your engineering DNA, your architectural philosophy, your approach to system resilience, and your Goal-Execution-Mapping, to the most sophisticated STEM challenges in the industry.

When you partner with us, you are engaging with a team that speaks your language and understands the nuances of high-stakes innovation. We are committed to placing elite talent where their technical contributions drive systemic impact.

Apply