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Computational Data Science Jobs (NOW HIRING)

Bachelor's or Master's degree in Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, Statistics, Data Science, Genetics, Epidemiology, or a related quantitative field

New

$194K - $305K/yr

Extensive experience applying computational methods in cancer biology.Extensive experience and ... Science, Genomic Data Analysis, Machine Learning (ML), Multimodal, Multimodal Analysis ...

The Computational Toxicology Group within Nonclinical Drug Safety (NDS) seeks a senior AI/ML ... Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data ...

The Computational Toxicology Group within Nonclinical Drug Safety (NDS) seeks a senior AI/ML ... Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data ...

$129K - $203K/yr

The Computational Toxicology Group within Nonclinical Drug Safety (NDS) seeks a senior AI/ML ... Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data ...

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain, Cambridge, Massachusetts, United States of ...

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain, Cambridge, Massachusetts, United States of ...

$129K - $203K/yr

The Computational Toxicology Group within Nonclinical Drug Safety (NDS) seeks a senior AI/ML ... Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data ...

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Computational Data Science information

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$16

$56

$81

How much do computational data science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for computational data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is computational data science?

Computational Data Science is an interdisciplinary field that combines computer science, statistics, and domain knowledge to extract insights and knowledge from complex data sets using computational techniques. Professionals in this field use algorithms, machine learning, and advanced analytics to solve real-world problems by processing and interpreting large volumes of data. The work often involves programming, data modeling, and visualization, making it crucial in industries such as healthcare, finance, and technology. Computational Data Scientists help organizations make data-driven decisions and innovate through predictive modeling and data analysis.

What are the key skills and qualifications needed to thrive as a computational data scientist?

To thrive as a Computational Data Scientist, you need a strong background in mathematics, statistics, programming (especially Python or R), and data analysis, often supported by a relevant degree in computer science, statistics, or a related field. Proficiency with data manipulation tools (like Pandas, NumPy), machine learning frameworks (such as TensorFlow or Scikit-learn), and cloud computing platforms is highly valued, along with experience using data visualization tools. Critical thinking, problem-solving, communication, and collaboration skills make someone stand out in this role. These abilities are crucial for extracting actionable insights from complex data, building effective models, and communicating findings to drive informed business decisions.

What are some common challenges faced by computational data scientists when working on cross-functional teams?

Computational data scientists often collaborate closely with professionals from diverse backgrounds, such as software engineers, domain experts, and business stakeholders. One common challenge is translating complex technical findings into actionable insights for non-technical team members. Additionally, aligning project goals and expectations across disciplines can require extra communication and flexibility. Overcoming these challenges often involves developing strong interpersonal skills, proactively clarifying requirements, and fostering a collaborative team culture.

What is the difference between Computational Data Science vs Data Analyst?

AspectComputational Data ScienceData Analyst
Required CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; often includes programming certificationsUsually requires a degree in Statistics, Business, or related fields; may include basic data analysis certifications
Work EnvironmentInvolves programming, modeling, and developing algorithms; often in tech or research settingsFocuses on interpreting data, creating reports, and supporting decision-making; in business or corporate environments
Employer & Industry UsageUsed in tech companies, research institutions, and industries requiring advanced modelingCommon in finance, marketing, healthcare, and business sectors

Computational Data Science involves advanced programming, algorithm development, and modeling, often in technical environments. Data Analysts focus on interpreting data, generating reports, and supporting business decisions. While both roles work with data, Computational Data Scientists typically require stronger programming skills and work on building models, whereas Data Analysts focus on data interpretation and visualization.

More about Computational Data Science jobs

What cities are hiring for Computational Data Science jobs?

Cities with the most Computational Data Science job openings:

What states have the most Computational Data Science jobs?

States with the most job openings for Computational Data Science jobs include:

Infographic showing various Computational Data Science job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Computational Associate

Massgeneralbrigham

Boston, MA • On-site

Full-time

Posted 2 days ago

New


Job description

Site: The General Hospital Corporation


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


Job Summary

Summary: The Research Data Analyst will work under the direction of the Principal Investigator to assist graduate students, post-doctoral fellows, clinical fellows, and others with research projects that focus on analytical and computational needs.
Essential Functions: Provide direct assistance with experimental studies.
-Performs basic computational modeling and statistical analysis; prepares drafts of work for review; applies feedback received to create final analyses and/or reports.
-Meets with the PI and team to discuss work plans, activities, and results to support the applicability of efforts, learning opportunities, and professional development.
-Reviews, collates, and prepares standard analyses of medical record data.
-Perform administrative tasks, such as required for data collection; prepare documentation and record-keeping; update databases; run reports.
-Conducts literature searches and submits appropriate articles to PI and team for consideration; identifies topics of interest for personal reading and may present at lab meetings.


Qualifications

Joint Urology-Pathology Research Laboratory | Massachusetts General Hospital & Harvard Medical School

Drs. Chin-Lee Wu and Douglas Dahl are seeking a Computational Research Associate to join an interdisciplinary research team focused on advancing precision oncology through digital pathology, artificial intelligence, machine learning, genomics, and multi-omics research in genitourinary cancers.

This is an exciting opportunity to contribute to cutting-edge translational research at the intersection of computational pathology, cancer biology, human genetics, and biomedical data science while collaborating with pathologists, clinicians, and researchers at Massachusetts General Hospital and Harvard Medical School.

Key Responsibilities

  • Develop and apply machine learning and computer vision models for digital pathology and whole-slide image analysis.
  • Analyze genomic, transcriptomic, epigenomic, and spatial biology datasets.
  • Build computational workflows that integrate pathology images, molecular data, and clinical outcomes.
  • Support biomarker discovery and prognostic model development through multimodal data analysis.
  • Collaborate with a multidisciplinary team and contribute to scientific presentations, manuscripts, and publications.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, Statistics, Data Science, Genetics, Epidemiology, or a related quantitative field
  • Proficiency in Python and/or R programming
  • Experience with or strong interest in machine learning, artificial intelligence, bioinformatics, computational biology, or biomedical data science
  • Strong analytical, organizational, communication, and collaboration skills
  • Experience with digital pathology, whole-slide image analysis, computer vision, or medical imaging applications
  • Familiarity with deep learning frameworks such as PyTorch or TensorFlow
  • Experience analyzing genomics, RNA sequencing, spatial transcriptomics, single-cell, or epigenomic datasets
  • Experience integrating and interpreting multiple biological data modalities across complex research projects

Why Join Us?

  • Work on innovative research combining AI, digital pathology, genomics, and precision medicine.
  • Collaborate with world-class investigators at Massachusetts General Hospital and Harvard Medical School.
  • Gain hands-on experience with advanced computational and translational research methodologies.
  • Receive mentorship and opportunities for scientific authorship, presentations, and career development.
  • Contribute to discoveries that improve the understanding and treatment of cancer.

Education
Bachelor's Degree Computational Biology required or Bachelor's Degree Related Field of Study required
Experience
Experience as attained through education 0-1 year required
Knowledge, Skills and Abilities
- Understanding of human pathophysiology, hematologic function, pregnancy physiology and related fields of study.
- Understanding of mathematical modeling, including dynamical systems, statistical analysis, and computational methods.
- Ability to work collaboratively as part of a team and with supervision from team members.
- Ability to work productively with scientists and clinicians at all levels.
- Works in an organized manner with the ability to follow instructions, processes and timelines.
- Can identify roadblocks occurring within areas of responsibility and refer them to the appropriate party(s) for assistance.
- Strong computer skills, including accurate data entry.


Additional Job Details (if applicable)


Remote Type

Onsite


Work Location

55 Fruit Street


Scheduled Weekly Hours

40


Employee Type

Regular


Work Shift

Day (United States of America)


Pay Range

$41,932.80 - $60,340.80/Annual


Grade

5


At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.


EEO Statement:

1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.