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Part Time Computer Science Training Jobs in Seattle, WA

DigiPen

Adjunct Faculty - Fine Arts (Evergreen)

Redmond, WA · On-site

$4.75K - $7.98K/wk

... programs in Computer Science, Game Design, Digital Audio and Music, Computer Engineering, and ... All Adjunct positions are part-time, temporary assignments (for no more than one semester at a time ...

DigiPen

Adjunct Faculty - Physics (Evergreen)

Redmond, WA · On-site

$2.48K - $10.43K/mo

... Computer Science, Game Design, Digital Audio and Music, and Digital Art and Animation, as well as ... All Adjunct positions are part-time, temporary assignments (for no more than one semester at a time ...

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Part Time Computer Science Training information

What are the key skills and qualifications needed to thrive as a Part-Time Computer Science Trainer, and why are they important?

To thrive as a Part-Time Computer Science Trainer, you need a solid understanding of core computer science concepts, programming languages, and instructional experience, typically backed by a relevant degree or professional certifications. Familiarity with learning management systems (LMS), code collaboration platforms, and educational tools like Zoom or Google Classroom is often required. Strong communication, patience, and adaptability help trainers effectively engage and support diverse learners. These skills are essential for delivering high-quality training, fostering student success, and keeping pace with evolving technology.

What are some common challenges faced by part-time computer science trainers, and how can they be addressed?

Part-time computer science trainers often encounter challenges such as managing diverse student backgrounds, keeping up with rapidly changing technology, and balancing multiple responsibilities across different commitments. To address these, trainers can develop adaptable lesson plans, leverage online resources for up-to-date materials, and use collaborative tools to stay organized. Additionally, fostering open communication with students and other faculty members can help create a supportive learning environment and ensure a successful training experience.

What is part time computer science training?

Part time computer science training refers to educational programs or courses in computer science that are designed to be completed on a flexible schedule, typically requiring fewer hours per week than full-time programs. These courses are ideal for individuals who have other commitments, such as work or family, and want to gain or improve their computer science skills at their own pace. Training may cover topics like programming, data structures, algorithms, and software development. Part time training can be offered by universities, online platforms, or bootcamps, and may lead to certificates or preparation for further study. This approach allows learners to balance education with other responsibilities.

What is the difference between Part Time Computer Science Training vs Part Time Software Developer?

AspectPart Time Computer Science TrainingPart Time Software Developer
CredentialsTypically no formal credentials required; focus on foundational knowledgeOften requires programming skills, experience, or certifications
Work EnvironmentClassroom or online learning settingsRemote or on-site project-based work
Industry UsageUsed for skill development and educationUsed for actual software development projects
Search IntentLearning and training optionsJob opportunities and freelance work

Part Time Computer Science Training focuses on education and skill-building, often in classroom or online settings, without requiring prior experience. In contrast, Part Time Software Developer roles involve applying programming skills to develop software, typically requiring prior knowledge or certifications. While training prepares you for development work, the developer role involves actual project execution in a professional environment.

What are popular job titles related to Part Time Computer Science Training jobs in Seattle, WA? For Part Time Computer Science Training jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Part Time Computer Science Training jobs in Seattle, WA look for? The top searched job categories for Part Time Computer Science Training jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Part Time Computer Science Training jobs? Cities near Seattle, WA with the most Part Time Computer Science Training job openings:
Part Time Computer Science Training jobs near you
Sr. Clinical Data Scientist - Applied Intelligence Solutions

Sr. Clinical Data Scientist - Applied Intelligence Solutions

Truveta

Seattle, WA • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Senior Clinical Data Scientist - Applied Intelligence Solutions
Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required at least once per year for an onsite meeting.
For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote
Who We Need
Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
This Opportunity
We are seeking a Senior Clinical Data Scientist to join the Catalysts team, focused on applied intelligence solutions for Truveta.
This role focuses on building the concrete intelligence assets that intelligence uses to solve defined healthcare problems correctly and safely. You will work on concrete problem types such as safety monitoring, cohort feasibility, HEOR analyses, clinical trial workflows, and operational oversight, and be responsible for directly creating the knowledge assets, examples, and guardrails that intelligence uses to support these problems effectively and safely.
A core part of the role is creating and maintaining practical intelligence assets that intelligence directly uses to support specific, repeatable solutions. These assets are contributed into a shared knowledge base maintained by the broader Catalysts team.
You will also influence how intelligence consumes and applies knowledge by producing clear, reusable assets that translate complex technical and domain concepts into forms usable by both intelligence systems and non technical stakeholders.
Out of scope: This role is not focused on model training, infrastructure, or large scale implementation. You are expected to be technically fluent and able to prototype, while deeper execution is handled collaboratively with peers who specialize in speed and scale.
Responsibilities
  • Intelligence solution construction: Independently build small scale, concrete intelligence solutions for specific healthcare problems by creating the required knowledge assets, examples, reference analyses, and guardrails that allow intelligence to answer the right questions and respect clear boundaries, within current platform capabilities.
  • Domain problem breakdown: Break down healthcare problems in areas such as clinical research, HEOR, and clinical trials into the concrete assumptions, decision points, and data considerations that intelligence needs to handle correctly.
  • Knowledge and guidance definition: Create and maintain the domain knowledge, guidelines, templates, and decision logic that intelligence systems need in order to perform effectively in each problem domain.
  • Agent and workflow shaping: Shape how intelligence agents operate at a practical level by defining task breakdowns, decision logic, and required knowledge, working within current platform constraints.
  • Knowledge extraction and transformation: Work with domain experts and users to extract assumptions, heuristics, and expertise, and convert them into structured inputs that intelligence systems can reliably consume.
  • Generative AI reasoning: Apply an understanding of how generative AI systems retrieve and reason over knowledge to improve correctness, safety, and consistency of intelligence outputs, using concrete examples and test questions.
  • Validation and guardrails: Define and validate constraints, exclusions, and limitations to ensure intelligence outputs are appropriate, trustworthy, and aligned with real world healthcare use.
  • Collaboration and facilitation: Work closely with colleagues across the Catalysts team, contributing domain expertise, intelligence design, and reusable assets into a shared knowledge base, and collaborating as peers on intelligence solutions rather than owning a separate execution pipeline.

Required Skills
  • Education: Bachelor's degree or equivalent experience in a quantitative or technical field such as computer science, data science, statistics, engineering, or a related discipline.
  • Applied intelligence and LLM expertise: Strong understanding of how large language models consume, retrieve, and reason over knowledge, and how to structure information so it can be used efficiently and reliably by intelligence systems.
  • Healthcare domain knowledge: Solid understanding of healthcare problem spaces such as clinical research, HEOR, clinical trials, and healthcare operations, and the types of questions and decisions users need support with.
  • Generative AI fluency: Hands on experience using generative AI tools to synthesize, generate, and refine knowledge assets including guidance, templates, prompts, and structured explanations.
  • Applied solution design: Ability to design and prototype applied intelligence solutions for specific problem types by combining domain knowledge, templates, prompts, guardrails, and workflows.
  • Technical fluency: Comfortable writing and reviewing production quality analysis code (e.g., SQL, Python, or R) to prototype analyses, validate logic, and create reusable examples that intelligence and teammates can reuse. Deep engineering expertise is not required, but hands on technical fluency is expected.
  • Knowledge creation and translation: Create clear, reusable intelligence assets by synthesizing expert input or authoring directly, translate technical and domain specific concepts into guidance that is understandable and actionable for a wide range of audiences, and explicitly define exclusions and limitations where intelligence should not provide answers.

Preferred Qualifications
  • Healthcare and EHR exposure: Experience working with healthcare or EHR data, including awareness of common data quality issues, biases, and clinical context.
  • Decision support systems: Experience designing, evaluating, or contributing to decision support systems, recommendations, or intelligent assistants.
  • Applied research background: Background in product analytics, applied research, or applied machine learning in support of real world decision making.
  • Advanced technical depth: Experience building more complex analytical workflows, reusable code libraries, or data products that others rely on, even if this is not the primary focus of the role.
  • Knowledge formalization: Experience translating expert knowledge into structured guidance, documentation, schemas, or training materials.
  • Teaching and enablement: Teaching, mentoring, or enablement experience with analysts, researchers, or cross functional teams.

Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We Offer:
  • Interesting and meaningful work for every career stage
  • Great benefits package
  • Comprehensive benefits with strong medical, dental and vision insurance plans
  • 401K plan
  • Professional development & training opportunities for continuous learning
  • Work/life autonomy via flexible work hours and flexible paid time off
  • Generous parental leave
  • Regular team activities (virtual and in-person)
  • The base pay for this position is $155,000 to $170,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here.
Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements.
Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

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