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Data Science Jobs in Tyler, TX (NOW HIRING)

micro1 AI

Pharmacovigilance Expert

Tyler, TX · Remote

$70 - $80/hr

Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level information. * Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or ...

micro1 AI

AI Training Specialist - Chemistry

Tyler, TX · Remote

$70 - $90/hr

Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity. * Critically evaluate experimental outcomes to propose improvements or ...

micro1 AI

Medical Billing Specialist

Tyler, TX · Remote

$50 - $80/hr

... data. * Exceptional written and verbal communication skills, especially in providing structured, actionable feedback on clinical content. * Advanced degree in life sciences, pharmacy, or medicine ...

micro1 AI

Medical Writing Manager

Tyler, TX · Remote

$50 - $80/hr

... data. * Exceptional written and verbal communication skills, especially in providing structured, actionable feedback on clinical content. * Advanced degree in life sciences, pharmacy, or medicine ...

Van Andel Institute

Postdoctoral Fellow

Van, TX

$41K - $56K/yr

Role and Responsibilities Postdoctoral Fellows are scientific leaders in the lab. You will design and execute research projects, analyze and interpret data, and drive manuscripts and presentations.

Sonic Healthcare USA

Grossing Technician

Tyler, TX · On-site

... data system components. All you need is: * 1 year of laboratory training or experience in grossing preferred * An earned associate degree in a laboratory science or medical laboratory technology ...

Sonic Healthcare USA

Grossing Technician

Tyler, TX · On-site

... data system components. All you need is: * 1 year of laboratory training or experience in grossing preferred * An earned associate degree in a laboratory science or medical laboratory technology ...

TechServ Engineering & Consulting

Engineer

Tyler, TX · On-site

Research information and will compile data for client presentations, shop drawings for review, and ... Bachelor of Science in a field of engineering required. * Successfully pass Fundamentals of ...

TechServ Consulting & Training

Engineer

Tyler, TX · On-site

Research information and will compile data for client presentations, shop drawings for review, and ... Bachelor of Science in a field of engineering required. * Successfully pass Fundamentals of ...

SPL

Lab Technician (Organics)

Kilgore, TX · On-site

Review analytical data and quality control results to ensure accuracy, precision, and regulatory ... Bachelor's Degree in Chemistry, Environmental Science or related scientific discipline; equivalent ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Tyler, TX

Data Science information

See Tyler, TX salary details

$35.3K

$115.7K

$185.2K

How much do data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science in Tyler, TX is $115,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $128,200.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Tyler, TX? The most popular types of Data Science jobs in Tyler, TX are:
What are popular job titles related to Data Science jobs in Tyler, TX? For Data Science jobs in Tyler, TX, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Tyler, TX look for? The top searched job categories for Data Science jobs in Tyler, TX are:
What cities near Tyler, TX are hiring for Data Science jobs? Cities near Tyler, TX with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Tyler, TX as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $115,660 per year, or $55.6 per hour.

Pharmacovigilance Expert

micro1 AI

Tyler, TX • Remote

$70 - $80/hr

Part-time

Posted 7 days ago

Job description

Role Title: Pharmacovigilance Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety expertise on a key customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for professionals experienced in authoring and reviewing complex safety reports, passionate about data quality, and committed to clear written and verbal communication.


Scope of Work

  1. Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and case-level records.
  2. Apply expert judgment to assess the accuracy and adequacy of interval safety findings, signal evaluations, and benefit-risk conclusions in alignment with best practices.
  3. Assess template and structural conformity to ICH E2F and ICH E2C requirements, including proper section content, presentation of cumulative versus interval data, and completeness of appendices.
  4. Reconcile figures and case counts across report sections and data sources, identifying and documenting discrepancies significant for regulatory review.
  5. Evaluate safety conclusions in light of new data or events, and provide clear, structured written rationales supporting your determinations.
  6. Deliver structured feedback to inform the development of AI-driven tools for pharmacovigilance documentation and analysis.


Preferred Qualifications

  1. 5+ years of pharmacovigilance or drug safety experience at a sponsor, CRO, or as an independent consultant.
  2. Demonstrated proficiency in authoring or reviewing DSURs and/or PSURs/PBRERs from start to finish.
  3. Working fluency with ICH E2F, ICH E2C(R2), and GVP guidelines, including signal management and benefit-risk assessment methodology.
  4. Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness determination, and aggregate safety data analysis.
  5. Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level information.
  6. Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent).
  7. Experience in both development-stage and post-marketing safety reporting, QPPV or deputy QPPV roles, safety committee participation, or AI-assisted safety review tools is a plus.

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