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Assistant Implementation Science Jobs in Pearland, TX

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

... science and machine learning team. This role will have an initial focus on supporting our GenAI ... virtual assistant. Concretely this means you will: * Implement: take the requirements from our ...

MD Anderson

Senior Research Assistant

Houston, TX · On-site

$31.01 - $37.26/hr

... science, and systems biology. The primary purpose of this Senior Research Assistant position is to ... The position also supports assay implementation, sample handling workflows, and efficient ...

My Therapy LLC

Be Seen First

Speech Pathologist Assistant

Houston, TX · On-site

$40/hr

Implement individualized treatment plans developed by the supervising SLP. * Accurately document ... Associate's or Bachelor's degree in Communication Sciences and Disorders or a related field.

My Therapy LLC

Be Seen First

Speech Pathologist Assistant

Houston, TX · On-site

$40/hr

Implement individualized treatment plans developed by the supervising SLP. * Accurately document ... Associate's or Bachelor's degree in Communication Sciences and Disorders or a related field.

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All JobsImplementation Science JobsAssistant Implementation Science JobsAssistant Implementation Science Jobs in Pearland, TX

Assistant Implementation Science information

See Pearland, TX salary details

$34.8K

$92.3K

$149.8K

How much do assistant implementation science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for assistant implementation science in Pearland, TX is $92,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $107,900.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Implementation Science vs Implementation Specialist?

AspectAssistant Implementation ScienceImplementation Specialist
Required CredentialsBachelor's degree, relevant certificationsBachelor's or master's degree, certifications in implementation science or related fields
Work EnvironmentResearch settings, healthcare organizations, academic institutionsHealthcare facilities, community organizations, government agencies
Employer & Industry UsageResearch projects, academic programs, public health initiativesProgram implementation, policy rollout, quality improvement projects
Search & Comparison IntentUnderstanding entry-level roles in implementation scienceDistinguishing roles involved in applying implementation strategies

Assistant Implementation Science roles typically focus on supporting research and data collection within implementation projects, often requiring a bachelor's degree and relevant certifications. Implementation Specialists are more involved in executing and managing implementation strategies in real-world settings, often with additional experience or advanced certifications. Both roles are essential in advancing healthcare and public health initiatives, but they differ in scope and responsibilities.

What are popular job titles related to Assistant Implementation Science jobs in Pearland, TX?

For Assistant Implementation Science jobs in Pearland, TX, the most frequently searched job titles are:

Assistant Implementation Science jobs near you
Infographic showing various Assistant Implementation Science job openings in Pearland, TX as of June 2026, with employment types broken down into 78% Full Time, 16% Part Time, 4% Temporary, and 2% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $92,297 per year, or $44.4 per hour.

Software Engineer in Data Science

Vitol

Houston, TX • On-site

$109K - $131K/yr

Other

Re-posted 26 days ago

Job description

Company Description
Vitol is the world's largest independent energy and commodities trading company. Every day we use our expertise and logistical networks to distribute energy around the world, efficiently and responsibly. From 40 offices worldwide, we seek to add value across the energy supply chain, including deploying our scale and market understanding to help facilitate the energy transition. To date, we have committed over $1 billion of capital to renewable projects and are identifying and developing low-carbon opportunities around the world.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week
Job Description
As our portfolio of work continues to grow, we are looking for an experienced Software Engineer to join our global data science and machine learning team. This role will have an initial focus on supporting our GenAI tools, including our firmwide virtual assistant. Concretely this means you will:
  • Implement: take the requirements from our broad range of commercial stakeholders and translate these into application features.
  • Design: Ensure we design and build the models and tools to meet the functional/non-functional requirements, as well as being supportable. The role will also help partner teams understand how they can support and integrate to the AI tools.
  • Translate: Act as a local champion for data science and AI, helping users adopt tools and articulate their changes and requirements to the wider team.

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions, etc.).
The role will also act as a bridge between the Data Science team and other technology teams for areas like application integration, data sourcing, infrastructure and tooling.
For the successful candidate, this role will give them exposure across the machine learning lifecycle, being able to apply their skills wherever they can add value, from working with business stakeholders to help define the project, to data collation through to solution design and model implementation.
We are looking for a candidate who brings both a breadth and depth of experience, from a theoretical and practical perspective; but equally someone who can and wants to continue learning.
As a small team, everyone is expected to organize, prioritize and execute their own tasks; with a strong focus on maximizing the business value from their actions. This means the individual will need to be comfortable working on multiple projects simultaneously, managing competing priorities and stakeholder requirements.
The successful candidate will join a team of experienced, collaborative practitioners, who are (pragmatically) solving some of the most challenging and impactful problems the energy industry is facing; as well as pushing the boundaries around the 'art of the possible'.
Core Responsibilities include:
  • Act as the primary point of contact in Houston for our GenAI toolset
  • In conjunction with the global Data Scientists deliver models and solutions to business users, and other technology teams across a wide range of projects and technologies
  • Develop, test, maintain software tools and data pipelines for machine learning
  • Provide software engineering and design expertise and best practices (Python) with a focus on maintainability, performance, and reliability
  • As needed, take ownership of key technical infrastructure
  • Engage with projects at any point in their lifecycle, understand and debug bespoke applications; driving performance and reliability
  • Manage relationships and priorities across projects, focused on maximising value
  • Actively participating in and leading code reviews, experiment design and tooling decisions to help drive the team's velocity and quality

Qualifications
Essential Qualifications
  • 3-5+ years in industry; fluency in Python with ability to design and write clean, modular, well-documented code and a solid understanding of coding best practices
  • Master's degree in Computer Science or a related field
  • Ability and desire to learn and apply new technologies
  • Ability to logically evolve an architecture from prototype to product, considering technical debt and delivery risk
  • Collaborative approach to problem solving - ability to effectively pair program
  • Effective technical communicator - both written and verbal; able to translate loose designs into documentation / process / operating model
  • Experience with data engineering, APIs, and cloud platforms (ideally AWS) and containerization technologies (Docker)
  • Experience with enterprise software development lifecycle and tooling including continuous integration and delivery concepts/technologies

Desired Experience
  • Experience with machine learning workflows, cloud scale machine learning infrastructure (including LLMs)
  • Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts
  • Data orchestrators (Airflow, Dagster) and cloud-based ETL/ELT pipelines

Personal Characteristics
  • A self-motivated individual who thrives on seeing the results of their work make an impact in the business
  • Strong communication skills, both verbally and in writing
  • Proven ability to be flexible, work hard, and a sense for the art of the possible
  • Methodical, organized and with an attention to detail - in general, in experimental design, and in code!
  • Willingness to share their knowledge and learn from others
  • An interest in learning about the commodities space
  • Resourceful, able to think creatively and adapt in a dynamic environment
  • Team player, with an open non-political style and a high level of integrity
  • Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world's energy flows

Additional Information
What we offer
  • Competitive salary and benefits package
  • Large diversity of projects with real-world impacts on a truly global scale
  • Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
  • Close collaboration with various business units across our key regions (eg. London, Singapore, Geneva)
  • A highly motivated DS and ML team comprised of experienced individuals with a supportive attitude and great team spirit
  • Being part of the energy transition through increased emphasis on renewable & alternative energy sources at a pivotal moment in the industry
  • Strong management commitment to incorporating machine learning into the future of Vitol's operations

This Role is located in Houston, TX - In office 5x a week

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