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Computational Researcher Jobs (NOW HIRING)

Stay current with advances in computational biology, machine learning, and scalable infrastructure, applying them to ongoing research challenges. * Communicate findings clearly through reports ...

Stay current with advances in computational biology, machine learning, and scalable infrastructure, applying them to ongoing research challenges. * Communicate findings clearly through reports ...

Develop and evaluate cutting-edge computational methodologies integrating multi-omic datasets to ... Track record of individual innovation, with published research or shipped work influencing pharma ...

We conduct research and development, manage national laboratories, design and manufacture products ... As a Computational Biologist II (Protein Engineering), you will contribute to cutting edge research ...

We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually ... About the Role As a Computational Neuroscientist , you will play a pivotal role in advancing our ...

We seek to advance the fields of computational imaging, computer vision, and deep learning through research and development and through collaborative projects that build on our open source software ...

We seek to advance the fields of computational imaging, computer vision, and deep learning through research and development and through collaborative projects that build on our open source software ...

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Computational Researcher information

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$30K

$113.1K

$164.5K

How much do computational researcher jobs pay per year?

As of Jun 30, 2026, the average yearly pay for computational researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is the difference between Computational Researcher vs Data Scientist?

AspectComputational ResearcherData Scientist
Required CredentialsAdvanced degrees in computer science, mathematics, or related fieldsDegree in statistics, computer science, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, academic institutions, industry R&D teamsBusiness environments, tech companies, consulting firms
Industry UsageAcademic research, scientific computing, R&D projectsBusiness analytics, product development, marketing insights
Common Search/ComparisonOften compared for research focus and technical skillsCompared for data analysis and business application skills

Computational Researchers primarily focus on developing new algorithms and conducting scientific research using computational methods, often within academic or R&D settings. Data Scientists analyze and interpret large datasets to inform business decisions. While both roles require strong technical skills and programming knowledge, their work environments and end goals differ significantly.

What jobs make $10,000 a month without a degree?

For a Computational Researcher, earning $10,000 a month without a degree is uncommon, as the role typically requires advanced education or specialized skills. However, some high-paying freelance or consulting roles in data analysis, programming, or AI development can reach this level with significant experience, self-taught skills, and a strong portfolio. Success in such roles often depends on expertise, reputation, and the ability to secure large projects or contracts.

What are some typical challenges a Computational Researcher faces when collaborating with multidisciplinary teams?

Computational Researchers often work alongside scientists, engineers, and domain experts from various fields. One common challenge is translating complex computational models or results into accessible insights for collaborators who may not have a technical background. Balancing the differing project priorities and timelines of team members can also be demanding. However, effective communication and a collaborative mindset are key to ensuring successful, productive outcomes in these multidisciplinary environments.

What jobs in the US pay 300,000 a year?

For a Computational Researcher, earning $300,000 annually typically requires advanced expertise, such as a Ph.D., extensive experience, and skills in high-demand areas like machine learning, data science, or algorithm development. Such salaries are often found in senior or lead roles within technology companies, finance, or specialized research institutions, especially those involving complex modeling or large-scale data analysis.

Which IT job is the highest paid?

In the IT field, roles such as Chief Information Officer (CIO), IT Director, and Cloud Architect tend to be among the highest paid, often earning six-figure salaries or more. Specialized roles like Data Scientists and Cybersecurity Directors also command high compensation due to their technical expertise and strategic importance.

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

To thrive as a Computational Researcher, you need a strong background in mathematics, computer science, and domain-specific knowledge, typically supported by an advanced degree (MS or PhD) in a relevant field. Proficiency with programming languages like Python, R, or C++, as well as experience with high-performance computing, data analysis tools, and relevant simulation software, is often required. Critical thinking, problem-solving, and effective collaboration are essential soft skills that enable innovation and teamwork. These skills and qualifications are crucial for designing rigorous computational experiments, analyzing complex data, and contributing to impactful scientific advancements.

What is a computational researcher?

A computational researcher is a professional who uses computational methods, algorithms, and data analysis to solve complex problems in fields such as science, engineering, or data science. They often work with programming languages, statistical tools, and high-performance computing environments to develop models and interpret large datasets.
More about Computational Researcher jobs
Computational Biologist

Other

Posted 10 days ago


Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

197th of 544 rated colleges and universities


Job description

The Beckman Center seeks a PhD-level Computational Specialist to serve as a technical liaison and innovator in bioinformatics, data analytics, machine learning, and AI, with a focus on cell, molecular, and developmental biology and biochemistry. This role will drive researcher productivity by leading cross-functional collaborations, developing cutting-edge solutions, delivering training, and fostering partnerships to accelerate discovery in basic and translational biomedical research. The ideal candidate holds a PhD in computational biology, bioinformatics, or a related field, with postdoctoral experience applying advanced computational tools to high-impact biomedical projects.

In this position, you will provide high-level technical solution development and support for basic, clinical, and translational research teams, collaborating with diverse groups of researchers, faculty, students, and staff to assist in selecting and developing innovative technical solutions. Your responsibilities will include onboarding, addressing user inquiries, delivering workshops and consultations, and contributing to complex technical and workflow projects. You will manage the direct integration of technology into research projects to resolve complex and novel research questions, often requiring solutions that combine multiple computational tools and techniques. You will also analyze user feedback to propose and develop new computational approaches, tooling, and training to better meet researcher needs, while leading the development of computational learning opportunities for the research community through workshops, classes, onboarding, and documentation.

Duties include*:

Researcher Engagement:

  • Consult and collaborate with faculty and researchers to understand their research goals and identify technical obstacles and solutions.
  • Attend research groups' meetings and presentations to assist with identifying promising tools and systems and to discuss their computational challenges and requirements.
  • Engage with researchers on the use of a broad set of cyberinfrastructure systems, tools, and software.
  • Provide support for Stanford research computing clusters and storage services, cloud computing, and national resources.

Solutions Development:

  • Formulate innovative technical strategies and engineer them to completion to achieve unique research objectives, using external vendors as needed. Provide novel technical solutions and consultation on complex technical topics requiring solutions that combine multiple computational tools, approaches and techniques.
  • Consult to develop frameworks that assist researchers in analyzing and visualizing data to uncover insights and support research findings. Consult on the creation and management of large, variable datasets in order to enable their preparation and use in research for modeling and analysis. 
  • Help facilitate the design and debugging of research workflows with researchers. 
  • Research and assist in the development and implementation of innovative technical solutions to meet research needs, including machine learning algorithms, text and image processing techniques, API programming, custom full-stack applications, automated web scraping, and crowdsourcing pipelines. Identify appropriate computational platforms (locally and externally) and facilitate researchers' use and mastery of same.
  • Continuously adapt to evolving technologies and methodologies to accelerate research development and enable new research frontiers. Leverage technical knowledge and interpersonal skills to support and enhance academic research. Review product demos and provide initial evaluation of potential platforms.
  • Read and understand original academic research papers and their associated computer source code. Replicate results from diverse fields as needed.

Documentation/Training:

  • Contribute to research and development efforts to enhance the team's capabilities in research support, including creating tutorials, testing new data collection methods, and staying abreast of relevant literature. Develop and deliver documentation and training for faculty and research staff. 
  • Enhance learning with full awareness of the local research computing and data landscape; continuously optimize the offerings.
  • Help develop and deliver research community learning opportunities, including the delivery of workshops, bootcamps, the creation of videos and other learning collateral, and technical documentation. 
  • Partner with others to create training schedules, collaboratively develop materials, and lead training sessions focused on the use of Stanford cyberinfrastructure services for researchers.

Partnership/Collaboration:

  • Assist colleagues and more junior team members by providing guidance and direction on project activities.
  • Connect and coordinate interactions between researchers and technology providers. 
  • Provide regular communications to the systems and software/data professionals. 
  • Partner with researchers to co-create and co-learn relevant computing and data capabilities.

Teamwork:

  • Assist colleagues and more junior team members by providing guidance and direction on project activities.

* - Other duties may also be assigned.
 

DESIRED QUALIFICATIONS: 

The ideal candidate holds a PhD in computational biology, bioinformatics, computer science, or a related quantitative field (PhD preferred), with 3+ years of postdoctoral or professional experience applying computational tools to biomedical research projects. They should demonstrate proficiency in programming languages commonly used in bioinformatics (Python, R, Bash) and experience with data analysis libraries and frameworks, along with demonstrated expertise in the application of computational approaches to biological data. The candidate will have experience designing and delivering technical training, workshops, or educational content to diverse audiences, with strong communication skills and the ability to translate complex computational concepts for researchers with varying technical backgrounds. They should bring a track record of collaborating with interdisciplinary research teams and stakeholders across institutional or departmental boundaries, identifying user needs, gathering feedback, and iterating on solutions to improve research workflows. Familiarity with research data management, workflow automation, or developing reproducible computational pipelines is preferred.

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree and three or more years of relevant experience or combination of education, training, and relevant experience. Advanced degree may be required for some programs. For jobs with financial responsibilities, experience managing a budget and developing financial plans.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

  • Ability to develop program partnerships and funding sources.
  • Excellent oral, written, and analytical skills, exhibiting fluency in area of specialization. 
  • Ability to oversee and direct staff.
  • Basic knowledge of managing budgets and developing financial plans.

CERTIFICATIONS & LICENSES:

  • For teaching jobs, advanced degree or certification may be required for some programs.

PHYSICAL REQUIREMENTS*:

  • Frequently stand/walk, sitting, grasp lightly/fine manipulation, perform desk-based computer tasks.
  • Occasionally use a telephone, writing by hand, lift/carry/push/pull objects that weigh up to 40 pounds.
  • Rarely sort/file paperwork or parts, lift/carry/push/pull objects that weigh >40 pounds.
  • Ability to use voice to present information/communicate with others.
  • On-campus mobility.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

  • May work extended hours, evenings or weekends.
  • May travel locally. 
  • Occasional overnight travel.

WORK STANDARDS:

  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.

The expected pay range for this position is $116,966 to $150,114 per annum. 

Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanfords extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Additional Information
  • Schedule: Full-time
  • Job Code: 4112
  • Employee Status: Regular
  • Grade: J
  • Requisition ID: 109269
  • Work Arrangement : On Site

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