computer scientist

Genentech

<div><div><div>THE POSITION</div><p>
We advance science so that we all have more time with the people we love.</p><p></p><p>
The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.</p><p></p><p><b>
The Opportunity:</b></p><p></p><p><b>
As an integral member of our dynamic team, you will be:</b></p><p></p><ul><li><p>
Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.</p></li><li><p>
Developing methods to analyze and interpret new types of perturbation data.</p></li><li><p>
Applying statistics and machine learning to investigate data and extract biological insights.</p></li><li><p>
Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology &amp; Translation departments</p></li></ul><p></p><p><b>
Who You Are:</b></p><p></p><ul><li><p>
PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.</p></li><li><p>
Strong publication record of biological discovery and/or methods development.</p></li><li><p>
Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.</p></li><li><p>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</p></li><li><p>
Fluent in Python and/or R.</p></li><li><p>
Excellent communication and presentation skills.</p></li><li><p>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</p></li><li><p>
Passionate about applying your analytical skills to understand health and disease.</p></li></ul><p></p><p><b>
Preferred Experience:</b></p><p></p><ul><li><p>
Experience with in situ data (FISH or ISS barcode calling).</p></li><li><p>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</p></li><li><p>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</p></li><li><p>
Experience with applying machine learning to high throughput datasets is a plus.</p></li></ul><p></p><p>
Relocation benefits are available for this posting.</p><p></p><p>
The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p><p></p><p>
Benefits</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Research Informatics
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Apr 10th 2026
</p></div><div><b>Job ID</b><b>
</b><p>202604-108731</p></div></ul></div></div></div></div><p></p>

Computational Scientist 3 - Cell & Tissue Genomics

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>PhD in Computer Science, a related field, or equivalent practical experience.</li>
<li>6 years of experience with research agendas across multiple teams or projects.
<br>
</li><li>One or more scientific publication submission(s) for conferences, journals, or public repositories.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>4 years of experience leading multiple research efforts and influencing research direction.
<br>
</li><li>2 years of coding experience.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.</p>
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we&rsquo;re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.<div></div><div><br>
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div><br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Author research papers to share and generate impact of research results across organization and in the research community.<br>
</li>
<li>Contribute to research growth by sharing research trends and best practices within the community by reviewing academic papers, serving on program committees and grant panels, speaking at Google events or research conferences, or organizing research conferences and visioning activities.<br>
</li>
<li>Deliver full projects by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.<br>
</li>
<li>Identify new and upcoming research areas by interacting with potential external and internal collaborators. Own long-term research strategy and plans to expand the impact of Google research.<br>
</li>
<li>Identify undefined problems in existing technology and engage stakeholders and leaders to address them.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Staff Research Scientist, Google Research

Tract Bio

<p><b>Overview</b></p><p>Tract Bio, located in The Pearl Innovation District in Charlotte, NC, is seeking a highly motivated Bioinformatics Scientist to join our growing team. Tract Bio Therapeutics is a fast- growing startup developing novel small-molecule therapeutics. This position offers the opportunity to contribute to cutting-edge projects with direct translational impact.</p><p><b>Key Responsibilities</b></p><p>&middot; Integrate genomics, proteomics, and epigenomics data to identify and validate novel therapeutic targets for small-molecule intervention.</p><p>&middot; Lead the analysis of large-scale datasets, specifically focusing on Whole Genome Sequencing (WGS), GWAS, ChIP-seq, and ATAC-seq to uncover regulatory mechanisms.</p><p>&middot; Develop and maintain reproducible pipelines tailored for execution on standalone Linux servers.</p><p>&middot; Administer the company&rsquo;s on-premise multi-server Ubuntu environment, ensuring high availability and security for the R&amp;D team.</p><p>&middot; Partner with chemists and biologists to interpret biological data, guide mechanism-of- action studies, and support decision-making.</p><p><b>Required Qualifications</b></p><p>&middot; Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field; OR M.S. with 3+ years of relevant industry experience.</p><p>&middot; Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.</p><p>&middot; Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.</p><p>&middot; Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.</p><p><b>Preferred Qualifications</b></p><p>&middot; Ph.D. with 2+ years of post-graduate industry experience in biotech or pharma.</p><p>&middot; A strong publication record (e.g., 2+ first-author publications in peer-reviewed journals) demonstrating the ability to lead projects and communicate scientific findings.</p><p>&middot; Deep understanding of molecular biology, immunology, or oncology</p><p>&middot; Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).</p><p>&middot; Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.</p><p>Pay: $110,000.00 - $130,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Relocation assistance</li><li>Retirement plan</li><li>Vision insurance</li></ul><p>Application Question(s):</p><ul><li>Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related field; OR M.S. with 3+ years of relevant industry experience.</li></ul><p>Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.</p><p>Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.</p><p>Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.</p><p>Deep understanding of molecular biology, immunology, or oncology.</p><p>Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).</p><p>Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.</p><p>Education:</p><ul><li>Doctorate (Preferred)</li></ul><p>Security clearance:</p><ul><li>Confidential (Required)</li></ul><p>Ability to Relocate:</p><ul><li>Charlotte, NC 28204: Relocate with an employer provided relocation package (Preferred)</li></ul><p>Work Location: In person</p>

Bioinformatics Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
<br>
Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
<br>
A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence, AGI Data Services

Mindrift

<div>
 <em>
  <strong>
   Please submit your CV in English and indicate your level of English proficiency.
   <br/>
   <br/>
  </strong>
 </em>
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 <strong>
  Participation is project-based, not permanent employment.
  <br/>
  <br/>
 </strong>
 <strong>
  What This Opportunity Involves
  <br/>
  <br/>
 </strong>
 While each project involves unique tasks, contributors may:
 <br/>
 <br/>
 <ul>
  <li>
   Design rigorous Computer Science problems reflecting professional practice;
  </li>
  <li>
   Evaluate AI solutions for correctness, assumptions, and constraints;
  </li>
  <li>
   Validate calculations or simulations using Python (NumPy, Pandas, SciPy);
  </li>
  <li>
   Improve AI reasoning to align with industry-standard logic;
  </li>
  <li>
   Apply structured scoring criteria to multi-step problems;
  </li>
  <li>
   Collaborate with a global community of PhDs to ensure the highest scientific integrity
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 <br/>
 <br/>
 <ul>
  <li>
   Degree in Computer Science or related fields.
  </li>
  <li>
   Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.
  </li>
  <li>
   2+ years of professional experience: applied, research, or teaching experience is applicable.
  </li>
  <li>
   Strong written English (C1+)
  </li>
  <li>
   Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How It Works
  <br/>
  <br/>
 </strong>
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 <br/>
 <br/>
 <strong>
  Project time expectations
  <br/>
  <br/>
 </strong>
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 On this project, contributors can earn up to
 <strong>
  $80 per hour equivalent
 </strong>
 , depending on their level and pace of contribution.
 <br/>
 <br/>
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>


Computer Science Expert with Python Experience - AI Projects on Mindrift

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST)
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Apr 08, 2026
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Oct 08, 2026 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>Development of an AI-driven analytics framework for real-time monitoring. The role focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems.</p><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop computer vision and deep learning algorithms for image-based detection.</li>
<li>Implement data fusion and image analysis pipelines for scientific/engineering applications.</li>
<li>Build scalable and real-time inference workflows.</li>
<li>Collaborate with multidisciplinary teams (materials, devices, and systems).</li>
<li>Contribute to publications, reports, and student supervision.</li></ul><br>
<p></p>
<p><b>
Position Details</b></p>
<ul>
<li>Postdoctoral Researcher or Research Scientist (depending on experience)</li>
<li>Competitive salary and research environment</li>
<li>Based at KAUST with interdisciplinary collaboration</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>PhD (Postdoc) or MSc/PhD (Research Scientist) in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.</li>
<li>Strong expertise in:</li>
<ul><li>Computer vision and image processing</li>
<li>Deep learning (e.g., PyTorch, TensorFlow)</li>
<li>Data-driven modeling and analysis</li>
</ul><li>Proficiency in Python and standard ML libraries.</li>
<li>Demonstrated ability to develop practical, deployable models.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience with scientific imaging or multimodal data.</li>
<li>Background in real-time systems, embedded/edge AI, or sensor data analysis.</li>
<li>Familiarity with defect detection or monitoring systems.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div></div><p></p>

Postdoctoral Researcher / Research Scientist (Computer Vision & AI for Infrared Imaging)

State of Utah

<p></p><div><p><b>Air Monitoring Scientist</b></p><p><b>
FT / PT Status &ndash; </b>Full-Time<br>
<b>Salary &ndash; </b>$25.27 - $52.56 Hourly Wage
<br>
<b>Remote Work / In-Office &ndash; </b>In-Office / On-Site<br>
<br>
<b>Recruiter &ndash; </b>Coral Ortega | caortega@utah.gov | 801-538-4624<br>
<b>Application Deadline &ndash; </b>4/17/2026</p><p></p><p><br>
The Department of Environmental Quality is looking to fill an Air Monitoring Scientist (Environmental Scientist III) position in the Division of Air Quality. This position may be filled at any of the advertised levels listed below. Salary depends on the job level offered within the series.</p><p><b>
Key Responsibilities</b></p><br>
<ul><li>
Operate, calibrate, and perform complex repairs on ambient air monitoring equipment to ensure continuous data collection and minimal downtime.</li><li>
Utilize advanced analytical equipment to measure and evaluate air pollutants in accordance with established scientific protocols.</li><li>
Execute all field and laboratory activities in strict accordance with Standard Operating Procedures (SOPs) and state/federal environmental regulations.</li><li>
Implement rigorous quality control requirements to ensure the integrity, accuracy, and legal defensibility of environmental data.</li><li>
Maintain meticulous Chain of Custody documentation for all samples from initial collection through laboratory analysis and final disposal.</li></ul><p></p><p><b>
</b><b>Qualifications</b></p><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Experience working in and around analytical equipment and instruments.
</li><li>Experience ensuring quality control measures are followed.</li><li>
Experience operating, troubleshooting and repairing scientific instrumentation and air monitoring equipment i.e., gas chromatography instruments, particulate samplers, gaseous analyzers for NOx, ozone, CO, SO2 and VOC&rsquo;s.</li><li>
Experience conducting laboratory analysis of samples including prepping and weighing filter material.</li><li>
Ability and experience working independently, including working at off-campus locations.<br>
</li><li>
Ability to operate, troubleshoot and repair complex equipment including air monitoring equipment.</li><li>
Ability to work effectively within a team environment and integrate seamlessly with existing staff.</li><li>
Exceptional attention to detail and a high level of accuracy in all work products.</li><li>
Strong time-management skills with the ability to prioritize tasks and meet deadlines in a fast-paced environment.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Bachelor degree or higher in a science related field including computer science.</li><li>
An understanding of the principles related to pollution monitoring, research methods and data collection protocols.</li><li>
Completion of the APTI 470 course, or equivalent.</li><li>
Certifications from API Teledyne or Thermo Scientific related to instrument training.</li></ul><p><b>
Other Requirements:</b></p><ul><li>
Possession of a valid driver&rsquo;s license and the ability to travel throughout the state as required.</li><li>
Work requires physical exertion. May require the ability to stand; walk over rough surfaces; bend, crouch, stoop, stretch, reach, lift moderately heavy items (up to 50 lbs.) in a recurring manner and/or for long periods of time.<br>
</li><li>
Risks which require the use of special safety precautions and/or equipment, e.g., working around operating machines, working with contagious diseases or hazardous chemicals, etc.</li></ul><p><b>
Job Series</b></p><p>
The selected candidate for this position may be brought in as an Environmental Scientist I with a salary range of $25.27 - $37.95 per hour, an Environmental Scientist II with a salary range of $29.73 - $44.66 per hour, or an Environmental Scientist III with a salary range of $34.98 - $52.56 per hour.</p><p></p><p><b>
About the Role</b></p><p><b>
Location</b> &ndash;
<br>
195 North 1950 West<br>
Salt Lake City, UT, 84116<br>
United States
<br>
<b>Background Check Required</b> &ndash; You must successfully pass a criminal history check.<br>
<b>Drug Test Required</b> &ndash; No
<br>
<b>Schedule Code</b> &ndash; B - Competitive Career Service</p><p><b>
Why You Should Join Our Team</b><br>
In Utah, we believe hard work is important, but balance is essential. Finding work/life balance is a vital element to our culture. To find out more about WHY Utah, click here. Other benefits may include:</p><ul><li><b>
Job Stability: </b>Enjoy the security and reliability of employment within a well-established organization.</li><li><b>
Career Growth:</b><b> </b>Develop valuable skills and gain opportunities for leadership within a large organization.</li><li><b>
Meaningful Work: </b>Contribute to an important service that benefits the community and supports organizational goals.</li><li><b>
Supportive Work Environment:</b><b> </b>Be part of a team that values cooperation, strong work ethics, and mutual support.</li></ul><p><b>
The Agency</b><br>
For more information about the Department of Environmental Quality and the Division of Air Quality, click here.</p><p><b>
EEO Statement</b><br>
The State of Utah is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. For accommodations, please contact (801) 957-9390.</p></div><div></div>

Air Monitoring Scientist

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