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Weekend Science Jobs in Austin, TX (NOW HIRING)

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

Principal Data Scientist

Austin, TX · On-site

$180 - $230/hr

This role also establishes and enforces data science standards governing data quality, feature engineering, model documentation, and analytical reproducibility, ensuring that all data assets and ...

Principal Data Scientist

Austin, TX · On-site

$180 - $240/hr

This role also establishes and enforces data science standards governing data quality, feature engineering, model documentation, and analytical reproducibility, ensuring that all data assets and ...

This role also establishes and enforces data science standards governing data quality, feature engineering, model documentation, and analytical reproducibility, ensuring that all data assets and ...

Showing results 41-60

Weekend Science information

See Austin, TX salary details

$28.2K

$54.7K

$90.2K

How much do weekend science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for weekend science in Austin, TX is $54,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,100.00 and $64,400.00 per year, depending on experience, location, and employer.

What is a Weekend Science?

A Weekend Science job typically involves scientific research, laboratory work, or technical support that takes place on weekends. These roles are common in industries like healthcare, research institutions, and environmental monitoring, where experiments or operations continue beyond standard work hours. Responsibilities may include conducting experiments, analyzing data, maintaining equipment, or assisting with ongoing projects. Weekend Science jobs can be ideal for students, part-time workers, or professionals looking to supplement their income while contributing to scientific advancements.

What are the typical responsibilities and work schedules for someone in a Weekend Science position?

Weekend Science professionals are often responsible for conducting experiments, recording data, and maintaining laboratory equipment during weekend shifts. Schedules usually involve working part-time on Saturdays and Sundays, often as part of a rotating team to ensure research continuity. You may collaborate closely with weekday staff through detailed handover notes, so clear communication and documentation are important. This setup allows for extended research hours, supporting projects that require ongoing monitoring or time-sensitive work, and can be ideal for students or those seeking flexible employment in the sciences.

What are the key skills and qualifications needed to thrive in the Weekend Science position, and why are they important?

To excel in a Weekend Science role, candidates typically need a strong background in biological, chemical, or physical sciences, often supported by a relevant degree or laboratory experience. Familiarity with laboratory equipment, data analysis software, and common safety protocols is essential. Strong attention to detail, communication, and problem-solving skills are important soft skills for this position. These abilities ensure safe, efficient, and accurate completion of experiments and collaboration within the team during weekend shifts.

What are some fun weekend science jobs?

Weekend science jobs include roles such as science camp instructors, museum educators, or event demonstrators, which often involve engaging the public with hands-on experiments. These positions typically require strong communication skills, basic scientific knowledge, and sometimes certifications like CPR or safety training. They offer flexible schedules and opportunities to share science in informal settings.

What job should I get if I like science?

If you like science, you can pursue roles such as a laboratory technician, research scientist, or science teacher. These jobs often require strong knowledge of scientific principles, relevant degrees, and sometimes certifications or laboratory skills. They typically involve working in labs, educational settings, or research environments.

What are the most commonly searched types of Science jobs in Austin, TX?

The most popular types of Science jobs in Austin, TX are:

What cities near Austin, TX are hiring for Weekend Science jobs?

Cities near Austin, TX with the most Weekend Science job openings:

Infographic showing various Weekend Science job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $54,703 per year, or $26.3 per hour.

CFA Postdoctoral Fellow - Center for Pandemic Decision Science

University of Texas at Austin

Austin, TX • On-site

$70K/yr

Other

This job post has expired today. Applications are no longer accepted.


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

126th of 618 rated colleges and universities


Job description

Job Posting Title:

CFA Postdoctoral Fellow - Center for Pandemic Decision Science

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Hiring Department:

Department of Integrative Biology

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue Until Oct 02, 2026

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Location:

UT MAIN CAMPUS

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Job Details:

General Notes

This is a one-year position with opportunity for renewal based on funding and performance. The position will include a full-time benefits package.

Security sensitive; criminal background check conducted on selected candidates. Hiring decision is contingent upon applicant clearing background requirement.

Applicants will be accepted on a rolling basis and evaluated via an accelerated video interview and decision process.

Purpose

The Meyers Lab and epiENGAGE at The University of Texas at Austin are immediately seeking outstanding postdoctoral scholars to contribute to modeling the spread, surveillance, forecasting, and control of influenza and other infectious diseases. The research aims to elucidate epidemiological dynamics and provide robust insights and tools to support outbreak preparedness and response efforts across the United States.

The postdoctoral scholars will work under the primary supervision and mentorship of Professor Lauren Ancel Meyers.

We seek candidates with strong quantitative training in one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given to candidates with knowledge of infectious disease epidemiology

Responsibilities
  • Lead the development and analysis of mathematical models to support the early detection, forecasting, and mitigation of emerging infectious disease outbreaks, including seasonal and pandemic influenza

  • Contribute to the development of outbreak modeling tools and training resources for public health professionals

  • Disseminate this work through direct engagement with scientists and public health professionals, as well as peer-reviewed publications

Required Qualifications

Candidates must have completed a PhD within the last 3 years in a quantitative science, statistics, computer science, mathematics, engineering, or a related discipline. The position will also require the ability to work quickly on time-sensitive analyses and collaborate with an interdisciplinary team.

Preferred Qualifications

Several years of experience in designing, validating, and applying mathematical models of outbreak dynamics and control. Experience collaborating with communities and public health professionals.

Salary Range

$70,000 + depending on qualifications

Working Conditions
  • Flexible work arrangement possible

  • Occasional evenings and weekends required

  • May work around standard office conditions

  • Repetitive use of a keyboard at a workstation

Work Shift
  • Flexible: 40 hours/week is required, and most of this time should be during normal business hours (e.g., 9:00am-5:00pm), although numbers of hours/day and days/week can be negotiated and may change depending on what projects are being pursued.

Required Materials
  • Resume/CV

  • Cover Letter

  • Three (3) letters of reference

  • PhD Verification (Examples of official documentation of the degree include: Copy of diploma (preferred) or official English translation of diploma, Copy of a letter of completion on letterhead from the office of the registrar or graduate office confirming completion of degree requirements, Copy of official transcript in English with "degree awarded" information.)

Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.

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Retirement Plan Eligibility:

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

  • E-Verify Poster (English and Spanish) [PDF]
  • Right to Work Poster (English) [PDF]
  • Right to Work Poster (Spanish) [PDF]

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.


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