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Remote Computer Science Research Assistant Jobs in Troy, NY

Remote We are currently seeking candidates who meet the following qualifications. Key ... Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related ...

Support Desk Analyst

Albany, NY · Remote

$21 - $28.75/hr

Remote We are currently seeking candidates who meet the following qualifications. Responsibilities ... Associate's or Bachelor's degree in IT, Computer Science, or a related field (or equivalent ...

Bachelor's degree in IT, Computer Science, or related field. Experience with Epic ECSA and ODBA. Familiarity with healthcare IT standards. Strong analytical and communication skills. This is a remote ...

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Senior Data Engineer

Albany, NY · Remote

$45 - $55/hr

Fully Remote Duration: 6 months (strong chance of extension) Sparks experience is a must Green Card ... Bachelor's degree in computer science, information technology, or a related field. * At least 7 ...

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Remote Computer Science Research Assistant information

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How much do remote computer science research assistant jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for remote computer science research assistant in Troy, NY is $21.55, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $25.05 per hour, depending on experience, location, and employer.

What is a Remote Computer Science Research Assistant?

A Remote Computer Science Research Assistant is someone who supports computer science research projects from a remote location, typically via the internet. Their duties often include conducting literature reviews, collecting and analyzing data, developing code or algorithms, and assisting with the preparation of academic papers or presentations. This role requires strong technical skills, good communication, and the ability to work independently while collaborating with a research team online. Remote assistants may work for universities, research institutes, or private companies on topics such as artificial intelligence, cybersecurity, or software engineering.

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

To thrive as a Remote Computer Science Research Assistant, you need a solid background in computer science fundamentals, programming, and research methodology, often supported by progress toward or completion of a relevant degree. Familiarity with data analysis tools, programming languages like Python or Java, version control systems such as Git, and literature databases is typically required. Strong written communication, self-motivation, and time management skills help you excel when collaborating remotely and handling independent research tasks. These abilities are crucial for efficiently contributing to research projects, meeting deadlines, and maintaining productive collaboration from a remote environment.

What is the difference between Remote Computer Science Research Assistant vs Remote Data Analyst?

AspectRemote Computer Science Research AssistantRemote Data Analyst
Required CredentialsBachelor's or higher in Computer Science or related field; research experienceBachelor's or higher in Data Science, Statistics, or related field; analytical skills
Work EnvironmentAcademic or research institutions, labs, universitiesBusiness, finance, healthcare, or tech companies
Employer & Industry UsageUniversities, research centers, tech labsCorporations, consulting firms, data-driven industries
Common Search & ComparisonYesNo

The Remote Computer Science Research Assistant typically focuses on supporting academic or research projects in computer science, often involving experimental or theoretical work. In contrast, a Remote Data Analyst primarily analyzes data to inform business decisions. While both roles require strong analytical skills and related credentials, their work environments and industry applications differ significantly.

How do Remote Computer Science Research Assistants typically collaborate with research teams when working from different locations?

Remote Computer Science Research Assistants generally use a mix of collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with their teams. Regular virtual meetings help align research goals, discuss progress, and resolve technical issues. Clear written communication is especially important in this setting, as documentation and asynchronous updates help ensure everyone is on the same page. Team members often share tasks such as data analysis, literature reviews, and experimental design, making collaboration a key part of daily responsibilities.
What job categories do people searching Remote Computer Science Research Assistant jobs in Troy, NY look for? The top searched job categories for Remote Computer Science Research Assistant jobs in Troy, NY are:
What cities near Troy, NY are hiring for Remote Computer Science Research Assistant jobs? Cities near Troy, NY with the most Remote Computer Science Research Assistant job openings:
Research Scientist 3 - (Health Services Research)

Research Scientist 3 - (Health Services Research)

New York State

Albany, NY • On-site, Remote

$96K - $121K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 hours ago


New York State rating

7.7

Company rating: 7.7 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

25th of 50 rated states


Job description

Duties Description The Research Scientist 3 will work as the Senior Researcher within the Bureau of Medicaid Data Reporting and Analysis and will assist in a broad range of research, analysis, reporting, and evaluation activities within the Division of Data Strategy and Technology Management (DSTM), as well as supervising a team that will provide operational support to the Research Agenda and Peer Review process. The incumbent will work under the direction of the Assistant Bureau Director. Specific duties may include, but are not limited to: Supervise a team that will extract, clean, merge, recode, and/or analyze administrative data sets available in OPWDD including those for quality measurement, billing, external survey projects, service enrollment, Medicaid utilization, and other routine or ad-hoc reporting as assigned.

Use a wide range of research methods and data sources to conduct descriptive and inferential analyses to support agency-wide initiatives related to Medicaid utilization, public health, service quality, and outcomes. Data sources may include, but are not limited to, Medicaid data, enrollment data, case management records, survey data and data from other agencies and organizations. Supervise a team that will compile data to support policy briefs for senior staff on key programmatic areas.

Identify metrics that measure progress in outcome achievement and assist in program management and evaluation of OPWDD policy. Assist in creating presentations, visualizations, statistical briefs, develop research ideas, draft research manuscripts and reports based on assigned projects and tasks. Respond to routine and ad hoc data requests.

Develop data visualizations showing statistics and trends for public consumption, using software such as Tableau. Work with Research Director to assist in implementation and support of Research Agenda. Work with Deputy Director to assist in implementation and support of Peer Review process for Research Scientist titles within OPWDD.

Assist in identifying and implementing automation of workflow. Assist in planning, designing, and executing research projects, including developing research questions, formulating hypotheses, identifying an appropriate research design and methodology, and interpreting findings. Assist in developing and executing new and/or highly complex algorithms and statistical predictive models and determining analytical approaches and modeling techniques to evaluate potential future outcomes.

Establish and model analytical rigor and effective use of statistical methods to analyze a large amount of data, including using advanced statistical techniques and mathematical analyses. Collaborate with other research scientists and analytical staff on all phases of research and contribute to healthcare policy recommendations based on applied research findings. The incumbent will be expected to perform these duties under general supervision.

Preferred Qualifications: Strong analytic, statistical, and data management skills. Experience with analyzing, extracting, merging, and linking large relational health care datasets, including Medicaid data. Proficient in the use of SAS or SQL, Microsoft Excel, Word and Power Point.

Knowledge of statistical methods and their application for predictive analytics. Experience with data visualization tools such as Tableau and/or Power BI is desired. Excellent written and verbal communication skills.

The ability to work independently, as well as in a team environment. Remote Work: Current OPWDD policy requires half-time in office. This policy is subject to annual review and renewal.

https://www.linkedin.com/company/nys-office-for-people-with-developmental-disabilities/posts/?feedView=all #LI-EF1 Minimum Qualifications Non-Competitive: Bachelor's degree and four years of professional research experience in an appropriate field. Substitutions: Master's degree in an appropriate field may substitute for one year of experience, and Ph.D. in an appropriate field may substitute for an additional year of experience

Additional Comments The assignment of PS&T employees will be made in accordance with any agreed upon Memorandum of Understanding between PEF and the local DDSO regarding the posting of job vacancies. Preference will be given to OPWDD employees impacted by closures. If you are being impacted by closure, please indicate this on your resume.

All OPWDD employees must be eligible and maintain eligibility for full and unconditional participation in the Medicare and Medicaid programs. Continued employment will depend on maintaining eligibility. If you are employed by state government you may be able to receive loan forgiveness under the Public Service Loan Forgiveness Program (PSLF).

The PSLF Program forgives the remaining balance on Direct Loans after 120 qualifying monthly payments have been made under a qualifying repayment plan while working full-time for a qualifying employer. For more information on PSLF, please visit www.studentAid.gov/publicservice. Employees on long term leave can bid on positions but must be able to report to work within fourteen (14) days and be able to perform the essential functions of their positions with or without reasonable accommodation (RA)

If an employee or job applicant believes that they need a reasonable accommodation, they should contact the Reasonable Accommodation Unit at (518) 486-7222 or email accommodationrequests@opwdd.ny.gov to obtain information and RA forms. Savings programs such as the U.S. Savings Bond and the College Savings Plan

Voluntary pre-tax savings programs such as Health Care Spending Account and the Dependent Care Advantage Account offer employees options to pay for uncovered health care expenses or dependent care expenses. Access to the Employee Assistance Program (EAP) an assessment and referral service that connects employees with local service providers and support services to address their personal needs. Life insurance and Disability insurance.

The New York State Deferred Compensation Plan is a voluntary retirement plan that offers employees the option to invest a part of their salaries for retirement on a tax-deferred basis. Paid Holidays and Leave: Thirteen (13) paid holidays each year. Thirteen (13) days of paid vacation leave initially.

Five (5) days paid personal leave each year. Thirteen (13) days of paid sick leave each year (PEF/CSEA), which may carry over from year to year. Up to three (3) days professional leave each year to participate in professional development events.

Health Care Coverage: Employees and their eligible dependents can choose from a variety of affordable health insurance programs. Employees are provided family dental and vision plans at no extra cost. Paid Parental Leave: Paid Parental Leave allows eligible employees to take up to 12 weeks of paid leave at full pay for each qualifying event.

A qualifying event is defined as the birth of a child or placement of a child for adoption or foster care. Retirement Program: Participate in The NYS Employees' Retirement System (ERS), which is recognized as one of the best-managed and best-funded public retirement systems in the nation. Professional Development and Education and Training: NYS offers training programs and tuition assistance to eligible employees to maintain and increase their professional skills and prepare them for promotional opportunities.

For more information, please visithttps://oer.ny.gov/training-and-professional-development. Additionally, the Public Service Workshops Program (PSWP) offers certain professional training opportunities for PEF represented and M/C designated employees that may grant continuing education credits towards maintaining professional licensure. For more information, please visit https://oer.ny.gov/public-service-workshops-program-pswp

OPWDD is an Equal Opportunity/Affirmative Action employer dedicated to creating and sustaining a culture of inclusion. We believe that we are most effective in managing and improving our service system with a diverse team of employees. With such a large workforce, we rely on the collective individual differences, life experiences, knowledge, self-expression, ideas and talent that our employees bring to their work.

This speaks to our culture and is a key part of our successes. As we continuously recruit people for our team, we welcome the unique contributions that applicants bring in terms of their education, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran's status, color, religion, disability, sexual orientation and beliefs. ***All people with disabilities are encouraged to apply.*** Some positions may require additional credentials or a background check to verify your identity.


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