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Part Time Data Science information

What do you mean by part?

In a part-time data science role, the position involves working fewer hours than a full-time job, often on a flexible schedule. It typically requires skills in data analysis, programming, and tools like Python or R, and may be suitable for students or professionals seeking additional work experience.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What is the synonym of part?

In the context of a part-time data science role, the word 'part' is synonymous with 'partial' or 'segment,' indicating a role with fewer hours or responsibilities compared to full-time positions. Such roles often require skills in data analysis, programming, and familiarity with tools like Python or R, and may offer flexible schedules.

What word part means renal pelvis?

In anatomy, the term 'pelvis' refers to the renal pelvis, which is the part of the kidney that collects urine before it moves to the ureter. Understanding anatomical terminology is useful for data scientists working with medical data or developing health-related models. Knowledge of medical terminology can aid in accurate data labeling and analysis.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.
More about Part Time Data Science jobs
What are the most commonly searched types of Data Science jobs in Kansas? The most popular types of Data Science jobs in Kansas are:
What are popular job titles related to Part Time Data Science jobs in Kansas? For Part Time Data Science jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Kansas look for? The top searched job categories for Part Time Data Science jobs in Kansas are:
What cities in Kansas are hiring for Part Time Data Science jobs? Cities in Kansas with the most Part Time Data Science job openings:
Part Time Data Science jobs near you
Medical Laboratory Scientist Intern - Laboratory - PT - Variable

Medical Laboratory Scientist Intern - Laboratory - PT - Variable

Stormont Vail Health

Topeka, KS • On-site

Part-time

Posted 11 days ago

Stormont Vail Health rating

5.7

Company rating: 5.7 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

777th of 876 rated healthcare providers

Job description

Position Status:
Part time
Shift:
Variable Less than 12 hour shift (United States of America)
Hours per week:
8
Job Information
Exemption Status: Non-Exempt
A Brief Overview
Stormont Vail Health's Student Internship Program offers students in accredited Medical Laboratory Science (MLS/CLS) programs the opportunity to gain clinical laboratory experience. Interns develop technical proficiency, participate in bench rotations, and work alongside certified laboratory scientists. The Medical Laboratory Scientist Intern participates in pre analytical, analytical, and post analytical processes across hematology, chemistry, urinalysis, microbiology, immunology, and immunohematology. The role emphasizes test theory, method performance, quality assurance, and problem resolution.
Education Qualifications
  • Currently enrolled in a NAACLS accredited MLS/CLS bachelor's program or related science program with eligibility for clinical rotations. Required
  • Completion of at least junior-level coursework (typically 90 credit hours or equivalent). Required

Experience Qualifications
  • Coursework or experience in laboratory or specimen collection or testing Preferred

Skills and Abilities
  • Strong communication, organization, and analytical skills. Required
  • Ability to manage time effectively and work independently or collaboratively.
  • Proficiency in Microsoft Office Suite or relevant tools.
  • Full-time availability during the internship period.
  • Professional conduct and accountability.
  • Willingness to learn and take initiative.
  • Timely completion of assigned tasks and deliverables.
  • Respect for confidentiality.

What you will do
  • The Intern will support laboratory operations through administrative, analytical, and project based activities.
  • Uphold patient confidentiality and comply with HIPAA regulations.
  • Participate in team meetings and laboratory activities.
  • Process and handle blood and biological specimens according to established procedures.
  • Supports testing in assigned departments. May include (1) Preparation, labeling and staining of slides; (2) Microbiology culture set-up; (3) Preparation of reagents, standards and controls; (4) Running analytical instrumentation under the supervision of technical staff
  • Monitor the add-on work queue and retrieve specimens for further testing.
  • Maintain inventory and cleanliness of the department/bench where assigned.
  • Support research, data analysis, and special lab projects.
  • Assist with supply inventory and evaluation of new products.
  • Conduct background investigation/research or data collection to support lab initiatives.
  • Present a summary of internship accomplishments at completion.
  • Other duties as assigned.

Required for All Jobs
  • Complies with all policies, standards, mandatory training and requirements of Stormont Vail Health
  • Performs other duties as assigned

Patient Facing Options
  • Position is Not Patient Facing

Remote Work Guidelines
  • Workspace is a quiet and distraction-free allowing the ability to comply with all security and privacy standards.
  • Stable access to electricity and a minimum of 25mb upload and internet speed.
  • Dedicate full attention to the job duties and communication with others during working hours.
  • Adhere to break and attendance schedules agreed upon with supervisor.
  • Abide by Stormont Vail's Remote Worker Policy and will review and acknowledge the Remote Work Agreement annually.

Remote Work Capability
  • On-Site; No Remote

Scope
  • No Supervisory Responsibility
  • No Budget Responsibility No Budget Responsibility

Physical Demands
  • Balancing: Occasionally 1-3 Hours
  • Carrying: Occasionally 1-3 Hours
  • Climbing (Stairs): Rarely less than 1 hour
  • Eye/Hand/Foot Coordination: Frequently 3-5 Hours
  • Feeling: Occasionally 1-3 Hours
  • Grasping (Fine Motor): Occasionally 1-3 Hours
  • Grasping (Gross Hand): Occasionally 1-3 Hours
  • Handling: Occasionally 1-3 Hours
  • Hearing: Frequently 3-5 Hours
  • Kneeling: Rarely less than 1 hour
  • Lifting: Occasionally 1-3 Hours
  • Operate Foot Controls: Occasionally 1-3 Hours
  • Pulling: Occasionally 1-3 Hours
  • Pushing: Occasionally 1-3 Hours
  • Reaching (Forward): Occasionally 1-3 Hours
  • Reaching (Overhead): Rarely less than 1 hour
  • Repetitive Motions: Frequently 3-5 Hours
  • Sitting: Frequently 3-5 Hours
  • Standing: Occasionally 1-3 Hours
  • Stooping: Rarely less than 1 hour
  • Talking: Frequently 3-5 Hours
  • Walking: Occasionally 1-3 Hours

Working Conditions
  • Dusts: Rarely less than 1 hour
  • Extreme Temperatures: Rarely less than 1 hour
  • Noise/Sounds: Occasionally 1-3 Hours

Stormont Vail is an equal opportunity employer and adheres to the philosophy and practice of providing equal opportunities for all employees and prospective employees, without regard to the following classifications: race, color, ethnicity, sex, sexual orientation, gender identity and expression, religion, national origin, citizenship, age, marital status, uniformed service, disability or genetic information. This applies to all aspects of employment practices including hiring, firing, pay, benefits, promotions, lateral movements, job training, and any other terms or conditions of employment.
Retaliation is prohibited against any person who files a claim of discrimination, participates in a discrimination investigation, or otherwise opposes an unlawful employment act based upon the above classifications.

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