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Phd Computational Science Jobs (NOW HIRING)

4423

Computational Scientist, Psychiatry

Dallas, TX

Experience Experience with HPC and/or demonstrated success in publishing computational science results Preferred * Education Master's Degree or PhD JOB DUTIES * Support faculty and research staff in ...

Arcadia Science

Computational Biologist

Emeryville, CA · On-site

$150K - $200K/yr

About the role We're looking for several PhD-level computational scientists to help develop our bioinformatic tools into scalable products that are rigorous and useful for a wide range of researchers.

ExxonMobil

Computational Scientist

Spring, TX · On-site

PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field. * Experience in developing, applying, and analyzing physics-based ...

ExxonMobil

Computational Scientist

Spring, TX · On-site

PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field. * Experience in developing, applying, and analyzing physics-based ...

ExxonMobil

Computational Scientist

Spring, TX · On-site

PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field. * Experience in developing, applying, and analyzing physics-based ...

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Phd Computational Science information

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$56.5K

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$98K

How much do phd computational science jobs pay per year?

As of Sep 10, 2026, the average yearly pay for phd computational science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is a PhD in Computational Science?

A PhD in Computational Science is an advanced research degree focused on the development and application of computational techniques to solve complex problems in science, engineering, and other fields. Students in this program conduct original research involving mathematical modeling, computer simulations, and data analysis. The degree prepares graduates for careers in academia, industry, and government, where they apply computational methods to advance scientific discovery and innovation.

What are the typical collaborative opportunities for a PhD in Computational Science within interdisciplinary research teams?

PhDs in Computational Science often work closely with experts from diverse fields such as biology, engineering, physics, and data science. Collaboration is a key part of the role, as computational scientists provide advanced modeling, simulation, and data analysis expertise that supports the research goals of the team. These professionals regularly participate in joint project meetings, contribute to cross-disciplinary publications, and work with both academic and industry partners. This collaborative environment not only enhances problem-solving but also provides valuable networking and learning opportunities, which can contribute to career growth and innovative research outcomes.

What are the key skills and qualifications needed to thrive as a PhD in Computational Science, and why are they important?

To thrive as a PhD in Computational Science, you need advanced expertise in mathematics, computer science, and domain-specific scientific knowledge, along with a doctoral degree in a related field. Proficiency in programming languages (such as Python, C++, or MATLAB), experience with high-performance computing, and familiarity with simulation or modeling software are typically required. Strong analytical thinking, problem-solving, and the ability to communicate complex concepts clearly are essential soft skills. These competencies are crucial for developing innovative computational solutions to scientific problems and advancing research in multidisciplinary environments.

What is the difference between Phd Computational Science vs Data Scientist?

AspectPhd Computational ScienceData Scientist
Required CredentialsPhD in Computational Science, strong programming, mathematical skillsTypically a bachelor's or master's in data science, computer science, or related fields; some roles prefer a PhD
Work EnvironmentResearch labs, academia, R&D departments in industryCorporate, tech companies, finance, healthcare, often collaborative teams
Industry UsageResearch institutions, universities, specialized R&D sectorsBusiness analytics, product development, machine learning applications

While both roles require strong analytical and programming skills, a Phd Computational Science focuses more on research, modeling, and simulation, often within academic or R&D settings. Data Scientists typically work on data analysis, predictive modeling, and business insights in industry environments. The choice depends on whether you prefer research-oriented work or applied data analysis in a commercial setting.

Is a PhD in computational science worth it?

A PhD in computational science prepares individuals for research, academia, and specialized industry roles that require advanced analytical and programming skills. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. The value depends on career goals and the demand for expertise in computational methods within specific fields.

What can I do with a PhD in computational science?

A PhD in computational science prepares individuals for research and development roles in academia, industry, and government, focusing on modeling, simulation, and data analysis. Graduates often work as computational scientists, data scientists, software developers, or research scientists, utilizing programming skills and advanced analytical tools to solve complex problems across fields like physics, biology, finance, and engineering.

What are popular job titles related to Phd Computational Science jobs?

For Phd Computational Science jobs, the most frequently searched job titles are:

Infographic showing various Phd Computational Science job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Principal Computational Biologist

Boston, MA • Hybrid

Kemio Consulting Ltd
See more jobs at Kemio Consulting Ltdexternal

$160K - $200K/yr

Full-time

Re-posted 29 days ago

Job description

Principal Computational Biologist
Location: Boston, MA (Hybrid)
This is an exciting opportunity to join a clinical-stage biotechnology company developing first-in-class therapies through a novel understanding of biology. Working at the forefront of drug discovery, the organisation combines cutting-edge biology with computational science to speed up the development of new treatments for patients.
We are looking for a Principal Computational Biologist to lead the companies computational biology efforts. You’ll work alongside biologists and chemists using bioinformatics to drive drug discovery decisions and influence strategy. You will lead the design, execution and interpretation of complex bioinformatics analyses across multiple therapeutic programmes.
Key Responsibilities
  • Partner with scientists to design computational strategies that answer key biological questions.
  • Develop and implement bioinformatics pipelines for the analysis of multi-omics datasets.
  • Evaluate and introduce emerging analytical methods and technologies where appropriate.
  • Analyse RNAseq, proteomics, phospho-proteomics and whole genome sequencing data.
  • Integrate pathway databases, network resources and published literature to generate meaningful biological insights.
  • Present complex analyses in a clear and impactful way.
  • Lead bioinformatics workstreams from conception through to delivery.
  • Mentor junior team members.
What we are looking for:
  • PhD in Bioinformatics, Computational Biology, Genomics or a related field.
  • 4 or more years of post-PhD industry experience
  • Strong programming skills in Python and/or R.
  • Proficiency analysing bulk RNA-seq datasets.
  • Expertise in statistical analysis of transcriptomics and proteomics data, including differential expression and pathway analysis.
  • Experience integrating multi-omics datasets to answer biological questions.
  • Strong understanding of molecular biology and drug discovery.
  • Excellent communication skills with the ability to collaborate across multidisciplinary research teams.
  
This is a highly collaborative, hands-on role offering significant ownership and the opportunity to shape computational biology capabilities within a rapidly growing biotech, which you can grow with. Apply today to be considered.
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
Keywords: Bioinformatics / Bioinformatician / computational biology / computational biologist / RNAseq / RNA-seq / transcriptomics / single cell / singlecell / multiomics / multi-omics / proteomics / genomics / drug discovery / biotech / biotechnology / lead / principal / leadership