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Remote Masters Computer Science Jobs in Patterson, NY

Owl Cyber Defense

Principal FPGA Engineer

Danbury, CT · On-site +1

$141K - $173K/yr

Remote (for those in Eastern or Central time zones) Owl Cyber Defense is a leader and trusted ... Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or ...

DataAnnotation

FP&A Manager - AI Trainer

Bridgeport, CT · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... We're seeking experienced finance professionals with advanced degrees (MBA+) and professional ...

Imh

Clinical Pharmacist

Bridgeport, CT · On-site +1

$62.89 - $92.44/hr

Doctor of Pharmacy or Bachelor of Science in Pharmacy degree from an accredited institution ... This includes frequent computer use for typing, accessing needed information, etc. Location:

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Remote Masters Computer Science information

What are the key skills and qualifications needed to thrive as a remote masters in computer science graduate?

To thrive as a Remote Masters in Computer Science graduate, you need advanced knowledge in algorithms, data structures, programming languages, and a relevant master's degree. Familiarity with software development tools, cloud platforms, version control systems, and certifications in areas like AWS or machine learning are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set exceptional candidates apart. These competencies are crucial for tackling complex technical challenges and collaborating efficiently in distributed teams.

What are some common challenges faced by students in a remote masters in computer science program, and how can they be overcome?

Students pursuing a remote Master's in Computer Science often face challenges such as staying motivated without in-person interaction, managing time effectively, and collaborating with peers on group projects. To overcome these, it's important to establish a structured daily routine, actively participate in virtual study groups, and utilize online collaboration tools like GitHub or Slack. Many programs also offer virtual office hours and mentoring, so taking advantage of these resources can greatly enhance your learning experience and help you stay connected with both faculty and classmates.

What is a remote masters in computer science?

A Remote Masters in Computer Science is a graduate-level degree program that is completed entirely online, allowing students to study from anywhere without needing to attend classes on campus. These programs typically cover advanced topics in computer science such as algorithms, artificial intelligence, machine learning, cybersecurity, and software engineering. Students interact with professors and peers through virtual classrooms, discussion forums, and online assignments. Many remote programs offer flexible schedules, making them ideal for working professionals or those with other commitments. Graduates of remote masters programs receive the same degree as their on-campus counterparts and can pursue careers in academia, research, or the tech industry.
What cities near Patterson, NY are hiring for Remote Masters Computer Science jobs? Cities near Patterson, NY with the most Remote Masters Computer Science job openings:
Remote Masters Computer Science jobs near you

Manager, Clinical Programming (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 27 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Position Summary We are seeking an experienced Senior Clinical Programmer to support clinical development programs by delivering high-quality programming solutions for medical monitoring, data management, and statistical programming activities. The ideal candidate has strong expertise in CDISC standards, SDTM dataset development, and modern programming tools including SAS and R. This role partners closely with cross-functional teams to develop efficient, compliant, and scalable programming solutions that support ongoing clinical trials

Key Responsibilities Provide programming support for medical monitoring, data management, and statistical programming activities across clinical studies. Develop specifications for SDTM dataset creation in accordance with CDISC SDTM Implementation Guide (SDTM IG). Program, validate, and maintain CDISC-compliant SDTM datasets.

Create and maintain annotated CRFs (aCRFs) aligned with SDTM specifications. Generate outputs and listings to support medical monitoring, data review, statistical endpoint monitoring, and data management activities. Develop, enhance, and maintain SAS macros, R functions, and other reusable programming utilities.

Design, develop, test, and implement programming solutions to address complex business and study requirements. Ensure programming deliverables meet quality standards, timelines, and regulatory expectations. Collaborate effectively with cross-functional teams including Biostatistics, Data Management, Clinical Operations, and Medical Monitoring.

Manage multiple projects simultaneously while delivering high-quality work within established timelines. Qualifications Bachelor's degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related discipline (or equivalent experience). Experience programming in the pharmaceutical, biotechnology, or related regulated industry preferred.

Advanced programming proficiency in SAS, R, and SQL. Strong working knowledge of CDISC standards, including SDTM and annotated CRFs. Experience with JReview is highly preferred.

Experience with Shiny, Pharmaverse, and R Markdown is preferred. Familiarity with programming languages such as Python, VBA, or C++ is a plus. Excellent analytical, problem-solving, and communication skills.

Ability to work independently while collaborating effectively within cross-functional teams. Strong organizational skills with the ability to prioritize multiple assignments and meet deadlines. Preferred Experience Experience supporting medical review or clinical data review activities.

Experience developing reusable programming utilities and automation tools. Familiarity with regulatory submission standards and clinical trial data workflows. Experience working in a fast-paced clinical development environment.

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