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Computational Data Analytics Jobs in Ohio (NOW HIRING)

Ray Sono AG

$71.23 - $94.98/hr

By working closely with biologists and biomedical experts, you will be responsible for the computational analysis of high-dimensional spatial single-cell data, with a strong focus on immuno-oncology ...

Battelle

Computational Biologist

Columbus, OH · On-site

As a Computational Biologist II (Protein Engineering), you will contribute to cutting edge research ... Experience with scientific computing and data analysis libraries (e.g., NumPy, pandas, SciPy ...

Ray Sono AG

$71.23 - $94.98/hr

By working closely with biologists and biomedical experts, you will be responsible for the computational analysis of high-dimensional spatial single-cell data, with a strong focus on immuno-oncology ...

Statistics Interest Group

Department Chair

Cleveland, OH · On-site

$300 - $400/hr

... computational data sets of human health risks, epidemiological health assessments, large scale ... analytics, and the integration of large data sets with clinical decision making. The Department of ...

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All JobsComputational Data Analytics JobsComputational Data Analytics Jobs in Ohio

Computational Data Analytics information

See Ohio salary details

$23

$52

$89

How much do computational data analytics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for computational data analytics in Ohio is $52.05, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.94 per hour, depending on experience, location, and employer.

What is computational data analytics?

Computational data analytics is the process of using computational methods, algorithms, and systems to analyze large and complex datasets. This field combines principles from computer science, mathematics, and statistics to extract meaningful insights and patterns from data. Professionals in computational data analytics use tools such as machine learning, data mining, and statistical modeling to solve real-world problems in various industries. Their work often involves programming, data visualization, and working with big data platforms.

How does a computational data analyst typically collaborate with cross-functional teams to deliver data-driven insights?

Computational Data Analysts frequently work alongside professionals from various departments, such as engineering, product management, and business strategy. They gather requirements, clarify analysis goals, and present findings in clear, actionable terms. Regular meetings and collaborative tools are often used to ensure alignment, while analysts translate complex data patterns into practical recommendations that support decision-making across the organization. This teamwork not only enhances the impact of their analyses but also provides valuable opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive as a computational data analytics professional, and why are they important?

To thrive as a Computational Data Analytics professional, you need strong quantitative skills, proficiency in statistics, and expertise in data manipulation, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of machine learning frameworks are commonly required. Excellent problem-solving abilities, effective communication, and the capacity to work collaboratively make candidates stand out. These skills enable professionals to extract actionable insights from complex datasets, drive informed decision-making, and add significant value to organizations.

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

AspectComputational Data AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's or Master's in Data Science, Computer Science, Statistics, or related fields
Work EnvironmentData analysis teams, research labs, tech companiesData analysis teams, research labs, tech companies
Employer & Industry UsageTech, finance, healthcare, academiaTech, finance, healthcare, academia
Common Search & ComparisonYesYes

Computational Data Analytics focuses on developing algorithms and computational methods to analyze large datasets, often emphasizing programming and algorithm design. Data Scientists combine statistical analysis, machine learning, and domain expertise to interpret data and generate insights. While both roles require similar educational backgrounds and work environments, Computational Data Analytics leans more toward algorithm development, whereas Data Scientists focus on modeling and interpretation.

What are popular job titles related to Computational Data Analytics jobs in Ohio?

For Computational Data Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Computational Data Analytics jobs in Ohio look for?

The top searched job categories for Computational Data Analytics jobs in Ohio are:

What cities in Ohio are hiring for Computational Data Analytics jobs?

Cities in Ohio with the most Computational Data Analytics job openings:

Computational Data Analytics jobs near you
Infographic showing various Computational Data Analytics job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $108,259 per year, or $52 per hour.

Computational Biologist - Spatial & Immuno-Oncology

Ray Sono AG

On-site

$71.23 - $94.98/hr

Other

Posted 5 days ago

Job description

Your mission

Improve the future of cancer treatment with us - determined, courageous and as a team!

At Resolve Biosciences, we are working to better understand complex biological processes - with the aim of enabling new therapeutic approaches. To do this, we need people who think boldly, take responsibility and enjoy learning

We are looking to hire a passionate Scientist - Computational Biology [f/m/d] to join our Assay Development team.

By working closely with biologists and biomedical experts, you will be responsible for the computational analysis of high-dimensional spatial single-cell data, with a strong focus on immuno-oncology and targeted gene panel design.

This is a full-time position based at our company headquarters in Monheim am Rhein, Germany, where you will collaborate closely with the Application Development, Molecular Biology, and Data Science teams.


Key Responsibilities:

  • Apply software tools and pipelines for computational downstream analysis of Molecular Cartography spatial multi-omic datasets.

  • Design and evaluate targeted gene panels for performance and accuracy.

  • Derive biological insights from high-dimensional single-cell data (imaging- and sequencing-based), such as cell type identification, differential expression, cellular neighborhoods, and cell-cell communication.

  • Assess the impact of technical variables (e.g., optical crowding, cell segmentation) on data analysis results.

  • Use solid statistical methods to evaluate data quality, identify patterns, and draw meaningful biological conclusions.

  • Collaborate with cross-functional teams and gather requirements from team members and other project teams.

  • Train and support internal users in the use of data analysis tools and pipelines when necessary

  • Collaborate effectively to achieve shared project goals and meet deadlines.

  • Take ownership of personal work planning in alignment with agreed objectives.


Your profile

  • PhD in biology, bioinformatics, or a related field, with 3+ years of relevant experience.

  • Extensive experience analyzing high-dimensional single-cell data (e.g., scRNA-seq, spatial transcriptomics) using state-of-the-art tools such as Seurat or Scanpy.

  • Experience in computational single cell analysis in oncology and/or systems immunology is preferred.

  • Strong foundational understanding of statistics and its application to biological data.

  • Proficiency in R or Python is required; proficiency in both is preferred.

  • Experience with fluorescence microscopy, image analysis, and associated software tools is a plus.

  • Familiarity with workflow tools like Snakemake or Nextflow is beneficial.

  • Experience in experimental/study design for harmonized analysis across multiple experiments and large sample sets is a strong asset.

  • Exceptional organizational and prioritization skills, with keen attention to scientific detail.

  • Structured, team-oriented mindset, with excellent communication skills and a strong focus on common goals.

  • Willingness to travel internationally, if required.


Personal Characteristics

At Resolve Biosciences, we believe that diversity, equity, and inclusion are essential to our success. We welcome applicants of all genders, ethnicities, nationalities, religions, abilities, and backgrounds to apply for our open positions. We are committed to creating a workplace where everyone feels valued, respected, and supported.


Why us?

We are a young, dynamic life science company with a focus on molecular pathology. Since 2020, we have been working on the fields of application and developing our own Molecular Cartography™ technology, which can be used to visualize gene and protein expression in tissue sections at the subcellular level in high spatial resolution.

Every individual counts: Our current team of around 60 members work in an interdisciplinary manner, with passion and creativity to advance our goal - because only together we can really make a difference!


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