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Computational Software Developer Jobs in Manhattan, NY

OXMAN

Senior Software Engineer

Manhattan, NY · On-site

$100 - $130/hr

Collaborate with computational ecologists, designers, and researchers to translate models, methods ... Enable multidisciplinary collaboration between software engineers, computational ecologists ...

Oxman

Senior Software Engineer

New York, NY · On-site

$120K - $150K/yr

Collaborate with computational ecologists, designers, and researchers to translate models, methods ... Enable multidisciplinary collaboration between software engineers, computational ecologists ...

OXMAN

Senior Software Engineer

New York, NY · On-site +1

$134K - $176K/yr

Collaborate with computational ecologists, designers, and researchers to translate models, methods ... Enable multidisciplinary collaboration between software engineers, computational ecologists ...

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Computational Software Developer information

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How much do computational software developer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for computational software developer in Manhattan, NY is $123,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a computational software developer?

A Computational Software Developer is a professional who designs, develops, and maintains software systems that perform complex mathematical, scientific, or engineering computations. They often work in fields such as scientific research, engineering, finance, and data analysis, creating tools that simulate processes, analyze data, or solve computational problems. These developers typically possess strong programming skills in languages like Python, C++, or MATLAB, and have a solid understanding of algorithms, mathematics, and domain-specific knowledge relevant to their projects.

What are the key skills and qualifications needed to thrive as a computational software developer, and why are they important?

To thrive as a Computational Software Developer, you need strong programming skills (often in languages like Python, C++, or Java), a solid understanding of algorithms, and typically a degree in computer science, mathematics, or a related field. Familiarity with computational libraries (such as NumPy, SciPy, or TensorFlow), version control systems like Git, and experience with high-performance or parallel computing are commonly required. Analytical thinking, problem-solving abilities, and effective teamwork are vital soft skills for excelling in this role. These skills and qualities enable developers to create robust, efficient computational solutions and collaborate effectively within multidisciplinary teams.

What are some common challenges faced by computational software developers, and how can they be addressed?

Computational Software Developers often encounter challenges such as optimizing code for high-performance computing, ensuring numerical accuracy, and integrating complex algorithms with existing systems. These challenges can be addressed by staying up-to-date with the latest computational techniques, collaborating closely with domain experts, and utilizing profiling tools to identify performance bottlenecks. Regular code reviews and testing are also essential to maintain reliability and foster knowledge sharing within multidisciplinary teams.

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Computational Software Developer jobs near you

Member of Technical Staff - Computational Biologist

New York, NY • On-site

Valthos
See more jobs at Valthosexternal

Full-time

Re-posted 29 days ago

Job description

Computational Biologist
Valthos Inc.
Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.
The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature's evolving mutational landscape.
We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT's Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use.
We are seeking a highly skilled Computational Biologist to bridge machine learning and biology by building robust data and evaluation frameworks for assessing and responding to biological threats, and for rapidly designing precision biologics.
The Role
  • Contribute to shaping and executing the Valthos-wide research and development roadmap
  • Identify large-scale biological datasets appropriate for training frontier biological models, and build workflows and infrastructure for processing these datasets
  • Design, build, and apply evaluation frameworks for rigorously assessing model performance on real-world problems in biological security
  • Design wet-lab experiments to evaluate the efficacy and real-world utility of designed biologics
  • Collaborate closely with AI engineers to design and train models tailored to tasks in biological security and precision biologics
  • Collaborate closely with software engineers to build and deploy tools for data analysis, including proper documentation and testing
  • Visualize and communicate results clearly within Valthos and externally
  • Work with customers and external collaborators to understand their needs and effectively represent Valthos
  • Embrace continuous learning in both technical and non-technical areas across Valthos
  • Stay up-to-date on state-of-the-art methods at the intersection of AI and biology

Qualifications (required)
  • Experience analyzing biological datasets, ideally sequence-based modalities (e.g., genomic, protein, metagenomic)
  • Experience planning and running in silico computational biology experiments
  • High proficiency in Python and its scientific package ecosystem
  • Experience with bioinformatics sequence analysis tools (e.g., aligners)
  • Experience with cloud computing platforms (e.g., AWS)

Qualifications (preferred)
  • Proven ability to design, implement, and evaluate novel methods in computational biology
  • Experience working with experimental biologists to plan and interpret the results of wet-lab experiments
  • Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold)
  • Knowledge of biological databases (e.g., NCBI)
  • Experience with machine learning model training and evaluation
  • Contributions to open-source projects

If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.

Apply