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Full Time Entry Level Computer Science Jobs in Virginia

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Requirements: * BS in data science, machine learning, computer science, statistics, or related ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI ... UNAVAILABLEEmployment Type: FULL_TIME

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA ... Qualifications Bachelors/ Masters (Computer Science, Information Technology, Engineering, Finance ...

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA ... Qualifications Bachelors/ Masters (Computer Science, Information Technology, Engineering, Finance ...

... Computer Science, Data Science, Mathematics or related STEM degree and 0-2 years of experience. #PeratonEarlyCareer Peraton Overview Peraton is a next-generation national security company that drives ...

... Computer Science/ MS Computer Science/ BBA/ MBA/ Engineering degree required from an accredited ... ITE provides all its full-time employees with medical insurance. Health Insurance coverage (PPO ...

ITE provides all its full-time employees with medical insurance. Health Insurance coverage (PPO ... Computer Science/ MS Computer Science/ BBA/ MBA/ Engineering degree required from an accredited ...

... Computer Science/ MS Computer Science/ BBA/ MBA/ Engineering degree required from an accredited ... ITE provides all its full-time employees with medical insurance. Health Insurance coverage (PPO ...

ITE provides all its full-time employees with medical insurance. Health Insurance coverage (PPO ... Computer Science/ MS Computer Science/ BBA/ MBA/ Engineering degree required from an accredited ...

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Full Time Entry Level Computer Science information

How to get a CS job with no experience?

Entry-level computer science jobs often require demonstrating foundational skills such as programming in languages like Python or Java, understanding data structures and algorithms, and completing relevant projects or certifications. Building a portfolio, contributing to open-source, and gaining practical experience through internships or coding challenges can improve chances of securing a position without prior work experience.

How to make $10,000 a month with no degree?

Full time entry level computer science roles typically do not pay $10,000 per month without experience or advanced skills. To increase earning potential, focus on developing in-demand skills such as programming, cloud computing, or cybersecurity, and gaining certifications like CompTIA or AWS. Freelancing, consulting, or working in high-demand tech fields can also help boost income over time.

What are full time entry level computer science jobs?

Full time entry level computer science jobs are positions designed for recent graduates or individuals with limited professional experience in computer science. These roles typically focus on foundational tasks such as software development, testing, technical support, or basic data analysis. They provide opportunities to gain practical experience, learn from senior team members, and build skills that are essential for career advancement in technology fields. Employers often look for candidates with a bachelor’s degree in computer science or a related discipline and basic knowledge of programming languages and software development practices.

What are some typical projects or tasks a full-time entry-level computer science employee might work on during their first year?

As a full-time entry-level computer science employee, you'll often be assigned to collaborative projects that involve coding, debugging, and testing software applications under the guidance of more experienced developers. You might work on fixing bugs, developing new features, writing scripts to automate tasks, or supporting system maintenance. Many teams also encourage entry-level employees to participate in code reviews and contribute to documentation, which helps you learn both technical and communication skills. The specific tasks can vary depending on the company and industry, but you'll gain broad exposure to software development processes and tools.

What is the difference between Full Time Entry Level Computer Science vs Software Developer?

AspectFull Time Entry Level Computer ScienceSoftware Developer
Required CredentialsBachelor's in Computer Science or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentCorporate, tech companies, startups, government agenciesTech firms, startups, corporate IT departments
Employer & Industry UsageEntry-level roles across various industriesDeveloping, testing, and maintaining software applications
Common Search & ComparisonYesYes

Full Time Entry Level Computer Science roles typically focus on foundational skills and broad industry applications, while Software Developer positions emphasize coding, software design, and application development. Both roles often require similar educational backgrounds and are found in similar work environments, but Software Developers usually have more specialized technical responsibilities.

What are the key skills and qualifications needed to thrive as a Full Time Entry Level Computer Science professional, and why are they important?

To thrive in a full-time entry-level computer science role, you typically need a solid understanding of programming fundamentals, algorithms, and data structures, usually supported by a bachelor's degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience with version control systems such as Git, are commonly required technical qualifications. Strong problem-solving skills, attention to detail, and effective communication help individuals stand out in collaborative and fast-paced environments. These skills and qualities enable new professionals to contribute effectively to projects, adapt to new technologies, and work well within development teams.

What jobs pay 4000 a week without a degree?

Full-time entry-level computer science roles typically do not pay $4,000 a week without advanced skills or experience. High-paying tech jobs such as software developers, cybersecurity analysts, or data engineers usually require specialized knowledge, certifications, or a degree. Some freelance or contract work in programming or IT can reach that level with significant experience and a strong portfolio.

What professions make 200,000 a year without a degree?

In the tech industry, roles such as software engineers, data scientists, and cybersecurity specialists can reach or exceed $200,000 annually with relevant skills, experience, and certifications. Many of these positions focus on programming, problem-solving, and knowledge of tools like cloud platforms or security protocols, often requiring strong technical expertise rather than a formal degree.
What are popular job titles related to Full Time Entry Level Computer Science jobs in Virginia? For Full Time Entry Level Computer Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Full Time Entry Level Computer Science jobs in Virginia look for? The top searched job categories for Full Time Entry Level Computer Science jobs in Virginia are:
What cities in Virginia are hiring for Full Time Entry Level Computer Science jobs? Cities in Virginia with the most Full Time Entry Level Computer Science job openings:
Associate Bioinformatics Data Scientist

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$75K/yr

Full-time

Posted 12 days ago


Job description

Position Purpose:   

A bioinformatics data scientist is responsible for providing experimental design consulting and data analysis for large, high-throughput genomic experiments, with a focus on forensics and metagenomics. The bioinformatics data scientist will be responsible for designing and implementing annotated code for managing, manipulating, and analyzing large-scale genomic data, and for preparing thorough documentation and reporting.

This position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.

Essential Duties and Responsibilities:

  • Develop tools for management, analysis and interpretation of high-density microarray and whole genome sequencing data.
  • Manage, manipulate, and analyze data using a combination of R, python, and UNIX tools.
  • Use established domain-specific open-source software and tools to manipulate and analyze genomic data.
  • Implement and execute data processing workflows and automated analytic pipelines.
  • ·     Apply literate‑programming methods to develop reproducible workflows that produce consistent, standardized tables and figures.
  • Conduct workflow benchmarking and documentation, identifying inconsistencies and resolving data problems.
  • Prepare SOPs, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.

Required Knowledge, Skills & Abilities:

  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data (whole-genome sequencing, RNA-seq, epigenetics, microbiome, and metagenomics).
  • Proficiency working with and developing using Docker and/or Singularity container technology.
  • Proficiency using version Control software (e.g., Git or similar) to manage programming code.
  • Proficiency with Python, Perl, or another scripting language.
  • Proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Familiarity with developing and querying relational databases.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

  • BA or BS in Computer Science, Bioinformatics, or related field
  • Experience managing and analyzing large-scale datasets produced sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data
  • Experience using Linux/Unix text processing tools, R, and other open-source tooling to manipulate and format data, to assess data quality, and analyze data.

Clearance:

  • This position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.

 

Supervisory Responsibilities:

  • May serve as a bioinformatics task lead.

 

Working Conditions/ Equipment:

  • Ability to work in varying conditions to include: traditional office environments with sedentary extended periods required for code development and testing.