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Remote Science Jobs in Columbus, OH (NOW HIRING)

Oracle Developer (Remote)

Columbus, OH ยท Remote

$54.50 - $67.75/hr

This will be a 100% remote contract-to-hire position. * SELECTED CANDIDATES WITHOUT REQUIRED ... Bachelor's degree in computer science or equivalent training required. * 5+ years of Oracle related ...

Oracle Developer (Remote)

Columbus, OH ยท Remote

$54.50 - $67.75/hr

This will be a 100% remote contract-to-hire position. * SELECTED CANDIDATES WITHOUT REQUIRED ... Bachelor's degree in computer science or equivalent training required. * 5+ years of Oracle related ...

Oracle Developer (Remote)

Columbus, OH ยท On-site +1

$54.50 - $67.75/hr

This will be a 100% remote contract-to-hire position. * SELECTED CANDIDATES WITHOUT REQUIRED ... Bachelor's degree in computer science or equivalent training required. * 5+ years of Oracle related ...

As we advance our data science and analytics capabilities, we want experts in modeling complex ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Scientist - Predictive Analytics

Columbus, OH ยท On-site +1

$108K - $181K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Master's Degree in computer science, statistics, economics or related fields 3+ years of work and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Master's Degree in computer science, statistics, economics or related fields * 3+ years of work and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Showing results 1-20

Remote Science information

See Columbus, OH salary details

$23.7K

$46.7K

$76.3K

How much do remote science jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote science in Columbus, OH is $46,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,200.00 and $50,200.00 per year, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

Remote science-related roles such as freelance data scientists, scientific consultants, or specialized research analysts can earn $10,000 or more per month without a formal degree, often by leveraging skills in programming, data analysis, and scientific tools. Success in these roles typically depends on experience, portfolio, and expertise rather than formal education alone.

What are some common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

Can you work remotely as a scientist?

Remote science jobs are available in various fields such as research, data analysis, and laboratory management, often requiring strong computer skills and familiarity with digital collaboration tools. Many organizations offer remote positions, but some roles may require on-site presence for experiments or equipment use. Job requirements vary depending on the specific scientific discipline and employer policies.

What are remote science jobs?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

How can I make $100,000 a year working from home?

Remote science roles such as data scientists, research analysts, or scientific consultants can reach a $100,000 annual salary with advanced degrees, specialized skills, and experience. Building expertise in programming, statistical tools, and industry-specific knowledge, along with a strong professional network, can help achieve this income level while working remotely.

What are the key skills and qualifications needed to thrive as a Remote Science professional, and why are they important?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

Are there remote science jobs?

Yes, remote science jobs are available across various fields such as research, data analysis, and laboratory work. These roles often require strong technical skills, relevant certifications, and the ability to work independently in a virtual environment.
What are the most commonly searched types of Science jobs in Columbus, OH? The most popular types of Science jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Science jobs? Cities near Columbus, OH with the most Remote Science job openings:
Infographic showing various Remote Science job openings in Columbus, OH as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 48% Physical, 4% Hybrid, and 48% Remote job distribution, with an average salary of $46,741 per year, or $22.5 per hour.
Principal Data Scientist- Mortgage Sales & Strategy Analytics

Principal Data Scientist- Mortgage Sales & Strategy Analytics

Citizens Bank

Columbus, OH โ€ข On-site

$157K - $197K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Job Description
Citizens' Enterprise Data & Analytics (ED&A) organization is seeking an experienced Data Scientist to provide analytics leadership related to Mortgage sales and strategy with a focus on proactively retaining existing customers and acquiring new customers via application of data/programming/models/analytics to support sales outreach and optimization. Initial focus is on driving growth through the Enterprise Smart Leads operation that centralizes sales lead generation with a coordinated approach to customer outreach. The Mortgage Sales & Strategy Principal Data Scientist will be responsible for generating, distributing, assessing and optimizing data-driven sales leads provided to virtual and retail Mortgage Loan Officers to enable proactive customer outreach. Skills required include a range of analytical functions (computer and statistical programming, data management, data exploration/visualization, feature engineering, statistical analysis) and business functions (stakeholder engagement and communication, strategy development, analyzing/presenting results, process improvement).
The optimal candidate will possess strong programming, analytical, and communication skills, and demonstrate ability to provide analytics leadership with business stakeholders and work well in a team environment. As the Principal Data Scientist, you will work independently as the primary point of contact for Mortgage business partners as well as working within the broader Enterprise Smart Leads team at the direction of a Data Science Manager. This person will develop expertise on all Mortgage sales-related data; develop, execute, and maintain programs to generate customized, data-driven Mortgage-focused leads; develop/implement/present analyses aimed at optimizing performance; and lead reporting and communications with management regarding performance and strategy. Given the focus, knowledge of the home lending area and experience with home lending data is a plus, but is not required. Experience in the financial services industry is preferred.
Smart Leads operates as an Agile team within the Enterprise Data and Analytics organization, working closely with other teams involved in various customer communications.
In this role, you will:
  • Conduct customer segmentation analyses and scoping to support Mortgage lead strategy development, assessment and revision.
  • Apply advanced analytics to engineer customized, data driven, timely sales leads focused on Mortgage retention and acquisition
  • Apply advanced analytics to continually optimize lead distribution across Virtual/Retail loan officers.
  • Apply advanced analytics to maximize production via provision of an optimal number and mix of leads across channels.
  • Apply advanced analytics to develop and optimize lead scoring/prioritization within an overall sales lead strategy framework.
  • Undertake Mortgage lead program investigation and evaluation on an ongoing basis. Prepare performance updates and special analyses.
  • Regularly engage with Mortgage business partners to remain tightly aligned on shifting business strategies and discuss application of data and analytics to Mortgage strategy and sales.
  • Oversee ongoing execution and generation of data driven Mortgage sales leads.
  • Maintain and improve processes/programs for generating and delivering sales leads and other related information flows
  • Manage and analyze call disposition data to optimize lead selection and assess performance
  • Document and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
  • Develop and implement experimental designs to meet business objectives
  • Continuously innovate through exploration of new techniques, platforms and data sources
  • Automate various standard procedures including data flows, monitoring, & quality control

Technical Qualifications
  • Master's (or beyond) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Data Science/Analytics, Economics, Finance or related fields
  • Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, Python, SAS, R, etc.)
  • Strong written and verbal communication skills required with an ability to communicate analytic results, business insights and resulting business implications to non-technical business partners
  • Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology
  • Ability to lead productive engagements with business partners from an analytic perspective
  • 4-7 years of experience in Analytics particularly with Financial Services applications

Hours & Work Schedule
  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on site, 1 day remote

Pay Transparency
The salary range for this position is $157,000 - $197,000 per year, plus an opportunity to earn additional incentive earnings. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.
We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.
About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.