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Computational Scientist Remote Jobs (NOW HIRING)

Azulene Labs

Computational Physicist (PhD) Bay Area preferred; exceptional remote candidates considered ... scientific computing. What You'll Do * Develop and deploy new physics-based models and algorithms ...

24-MAG LLC

$80 - $115/hr

About the job Remote | Physics Research Expert - $80-$115/hour We are sharing a specialised ... modeling, computational modeling, experimental design, scientific data analysis, scientific ...

Valo Health

Staff Computational Biologist

Lexington, MA · On-site +1

$195.59K - $230.10K/yr

Your day to day includes working with biology data scientists to harden their notebooks and ... Familiarity with the drug discovery and development process is a plus Remote Salary Range $165,750 ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

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$50.5K

$111.3K

$137.5K

How much do computational scientist remote jobs pay per year?

As of May 28, 2026, the average yearly pay for computational scientist remote in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Scientist in a remote role, and why are they important?

To thrive as a Computational Scientist remotely, you need a strong background in mathematics, programming (such as Python or C++), and domain-specific scientific knowledge, often supported by an advanced degree in a STEM field. Familiarity with high-performance computing environments, data analysis tools, and version control systems like Git is typically required. Excellent problem-solving, self-motivation, and effective virtual communication are crucial soft skills for remote collaboration and productivity. These competencies ensure accurate scientific modeling, efficient teamwork, and successful project outcomes in a distributed work setting.

How do Computational Scientists collaborate with multidisciplinary teams in a remote work setting?

Computational Scientists often work closely with researchers, data analysts, and software engineers, even when working remotely. Effective collaboration typically involves regular virtual meetings, shared code repositories, and collaborative project management tools to ensure alignment on research goals and methodologies. Daily responsibilities may include discussing data findings, troubleshooting models, and integrating diverse expertise into computational solutions. Remote teams often leverage communication platforms to maintain a strong sense of teamwork and project momentum.

What is a Computational Scientist and what do they do?

A Computational Scientist is a professional who uses advanced computing techniques, mathematical models, and simulations to solve complex problems in science and engineering. They develop algorithms, write code, and analyze large datasets to gain insights in fields like physics, biology, chemistry, and more. Working remotely, they collaborate with research teams, utilize high-performance computing resources, and often contribute to scientific publications. Their work is critical in accelerating discoveries and innovations by transforming raw data into actionable knowledge.

What is the difference between Computational Scientist Remote vs Data Scientist?

AspectComputational Scientist RemoteData Scientist
Required CredentialsAdvanced degrees in science, engineering, or related fields; programming skillsDegree in statistics, computer science, or related fields; programming and analytical skills
Work EnvironmentRemote, research-focused, often in scientific or technical industriesRemote or on-site, business or tech industries, data analysis focus
Employer & Industry UsageResearch institutions, scientific companies, government labsTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding roles, skills, and remote opportunitiesJob responsibilities, skills, and industry applications

While both roles involve data analysis and programming, Computational Scientists Remote focus on scientific research and simulations, often in research or technical industries. Data Scientists typically analyze business data to inform decisions. The roles overlap in skills like programming and statistical analysis but differ in industry focus and work environment.

More about Computational Scientist Remote jobs
What cities are hiring for Computational Scientist Remote jobs? Cities with the most Computational Scientist Remote job openings:
What are the most commonly searched types of Computational Scientist jobs? The most popular types of Computational Scientist jobs are:
What states have the most Computational Scientist Remote jobs? States with the most job openings for Computational Scientist Remote jobs include:
What job categories do people searching Computational Scientist Remote jobs look for? The top searched job categories for Computational Scientist Remote jobs are:
Computational Scientist Remote jobs near you

Computational Biologist | $85/hr Remote | Mercor

Crossing Hurdles

Manhattan, NY • Remote

$85/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Computational Biologist | $85/hr Remote | Mercor Join to apply for the Computational Biologist | $85/hr Remote | Mercor role at Crossing Hurdles . Be among the first 25 applicants. This range is provided by Crossing Hurdles.

Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $65.00/hr - $85.00/hr Organization: Mercor Position: PhD-Level Computational Biologist — Design Data-Centric Benchmarks for AI Models Referral Partner: Crossing Hurdles Type: Hourly Contract Compensation: $65–$85/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities (Training support will be provided) Design biologically grounded benchmark problems with correct answers and multiple plausible distractors. Identify, preprocess, and anonymize datasets from repositories such as GEO, SRA, and NCBI.

Subsample and structure datasets to prevent metadata inference. Validate dataset solutions using bioinformatics analysis pipelines and visualizations. Work within technical limits including dataset size and time constraints for each task.

Requirements Advanced degree (MS or PhD) in computational biology, bioinformatics, genomics, or a related field. Strong experience analyzing sequencing or omics datasets (e.g., RNA‐seq, WGS, mass spec). Proficiency with bioinformatics tools (e.g., BLAST, samtools, DESeq2) and formats (FASTA/FASTQ/BAM).

Skilled in Python, R, or bash; experience working with Jupyter notebooks. Understanding of biological experiment design and common data artifacts such as batch effects. Application Process (Takes 20 min) Upload resume AI interview based on your resume (15 min) Seniority level Associate Employment type Contract Job function Research, Education, and Science Industries Higher Education, Data Infrastructure and Analytics, and Research Services Referrals increase your chances of interviewing at Crossing Hurdles by 2x.

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