Explore 3 junior python developer jobs from 2 hiring companies in Mona, UT, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Junior Python Developer

Payson

Santaquin

Nephi

Spanish Fork

Provo

Springville

Orem

Eagle Mountain

Saratoga Springs

Lehi

Pleasant Grove

American Fork

Salem

Highland

Mapleton

Draper

Riverton

Herriman

Lindon

Junior Python Developer Jobs

Ancestry

Brigham Young University

Proofpoint

Onsite

Remote

About Us: Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.How We Work:At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: Bold in how we dream and innovateResponsive to feedback, challenges and opportunitiesAccountable for results and best in class outcomesVisionary in future focused problem-solvingExceptional in execution and impactThe RoleAs an Operations Engineer, you will be part of an international team that monitors and maintains more than 14,000 servers, and 250 network devices located in more than 8 data centers worldwide. NOC Engineers troubleshoot and resolve routine and complex network, hardware, and OS issues in a timely and efficient manner while maintaining a 99.99% uptime rate for all systems. Given the global nature of our business our Engineers work in a rotating shift pattern. Your day-to-day<ul><li> Monitor internal and production systems and escalating/paging level two engineers.</li><li>Work trouble tickets effectively and efficiently and engage Engineering, Support, QA, and other personnel in accordance with established processes and procedures.</li><li>Document problem descriptions and provide detailed problem diagnosis with accuracy and in compliance with established practices.</li><li>Review and update the status of problems in trouble-ticketing system.</li><li>Assist in maintaining Operations documentation including support guides, knowledge base articles, and procedures.</li><li>Participate in the transfer of information from one shift to the next.</li></ul> What you bring to the team<ul><li>Previous experience of working within a Network Operations Center (NOC) or Operations environment.</li><li>Knowledge of Linux (command line).</li><li>Previous experience with bash and or Python or other Linux scripting/ programming languages.</li><li>Previous experience with monitoring tools (Nagios preferred.) Familiarity with trouble ticketing systems (Jira, lighthouse, Bugzilla, etc.) Experience troubleshooting Linux.</li><li>Exceptional interpersonal, communication, initiative, and leadership abilities.</li><li>Effective analytical, planning, organizational, and documentation skills.</li><li>Proven ability to multitask and prioritize while under pressure.</li><li>Experience working with Fortune Global 500, highly integrated, multi-vendor ecosystems with OC to OC communications.</li><li>LINUX and/or MS certifications are an asset</li><li>US citizenship required</li></ul>#LI-AN2Why Proofpoint?At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us:<ul><li>Competitive compensation</li><li>Comprehensive benefits</li><li>Career success on your terms</li><li>Flexible work environment</li><li>Annual wellness and community outreach days</li><li>Always on recognition for your contributions</li><li>Global collaboration and networking opportunities</li></ul> Our Culture:Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to <a target="_blank" href="mailto:accessibility&#64;proofpoint.com">accessibility&#64;proofpoint.com</a>. How to ApplyInterested? Submit your application along with any supporting information- we can’t wait to hear from you!Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable compensation and/or equity. We offer a competitive benefits package, including flexible time off, a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year, plus a three-week Work from Anywhere option.Base Pay Ranges:SF Bay Area, New York City Metro Area:Base Pay Range: 31.44 - 43.26 USDCalifornia (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:Base Pay Range: 24.90 - 34.27 USDAll other cities and states excluding those listed above:Base Pay Range: 23.27 - 32.00 USD

NOC Engineer

Experience in a NOC/Operations environment; Linux command line; scripting in Bash/Python; monitoring tools (Nagios); ticketing systems (Jira, Lighthouse, Bugzilla); excellent communication and organization; US citizenship required.

Why Work at BYU   As the flagship higher education institution of The Church of Jesus Christ of Latter-day Saints, Brigham Young University (BYU) strives to be among the exceptional universities in the world. At BYU, we are devoted to our faith and to our students. We take an active role in the <a target="_blank" href="http://aims.byu.edu/">University&#39;s Mission:</a> &#34;To assist individuals in their quest for perfection and eternal life.”   Our unique mission, deeply rooted in the Gospel of Jesus Christ, provides countless ways to serve and make an impact. This, along with our remarkable culture of belonging, weekly devotionals, and endless opportunities for learning and growth—all situated within a beautiful and historic campus—make it hard to imagine a more inspiring place to work. Brigham Young University strongly prefers to hire faithful members of The Church of Jesus Christ of Latter-day Saints. Research Assistant (TEMPORARY - part-time, 17.5 hours/week)We are seeking a motivated and detail-oriented Single-Cell RNA-seq Data Analyst to support the analysis and publication of high-throughput transcriptomic data. This role focuses on processing, analyzing, and interpreting single-cell RNA sequencing (scRNA-seq) datasets and contributing to scientific manuscripts.What you’ll do in this position: <ul><li>Perform quality control, preprocessing, and analysis of scRNA-seq datasets</li><li>Implement and optimize analysis pipelines using Python and R</li><li>Conduct statistical analyses to support biological interpretations</li><li>Visualize and communicate results clearly through figures and reports</li><li>Collaborate with researchers to interpret findings and refine analyses</li><li>Contribute to writing and preparation of scientific publications</li></ul>What qualifies you for this role:Required<ul><li>A firm commitment to the mission of BYU. </li><li>Proficiency in Python and R programming </li><li>Experience with single-cell RNA-seq data analysis (e.g., Seurat, Scanpy, or similar tools) </li><li>Strong understanding of basic statistical concepts (e.g., hypothesis testing, distributions, regression) </li><li>Experience with data visualization and interpretation </li><li>Ability to work independently and manage analysis workflows</li></ul>Preferred<ul><li>Background in bioinformatics, computational biology, or related field</li><li>Experience with high-performance computing or cloud environments</li><li>Familiarity with version control (e.g., Git) </li><li>Previous involvement in scientific publications</li></ul>Application Deadline: Friday, May 8, 2026Required Documentation: <ul><li>Resume</li><li>Cover Letter</li><li>Letter of Recommendation</li></ul>What we offer in return:This position comes with fantastic <a href="https://hrs.byu.edu/employee-benefits" target="_blank">benefits</a>, including:<ul><li>Employee assistance program, available to the employee and all members of their household</li><li>Access to the library</li><li>Free on-campus parking</li><li>Free UTA pass</li><li>Discounts at the BYU Store and for many events at BYU</li></ul>Pay Grade: 46Typical Starting Pay: $16.50 to $21.25 an hourRequired Documents:All Staff positions require a resume.Refer to the Job Posting for any additional required documents.Members of The Church of Jesus Christ of Latter-day Saints must hold and be worthy to hold a current temple recommend.Brigham Young University is an equal opportunity employer, including disability and protected veteran status.Brigham Young University (BYU) is widely recognized not just for its world-class education, but for its deep commitment to inspired religious values. Gathered together in a Christ-centered atmosphere, BYU employees are a vital part of a community of belonging, where we value the experiences, perspectives, and talents of each individual. If you share in our devotion to faith and to excellence, we have a place for you here at BYU!

Research Assistant (TEMPORARY - part-time, 17.5 hours/week)

Research Assistant

Proficiency in Python and R; experience with single-cell RNA-seq analysis; strong statistics knowledge; data visualization and independent workflow management.

About Ancestry: When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families. We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations <a target="_blank" href="https://careers.ancestry.com/benefits">HERE</a>). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that&#39;s inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.  Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.We are looking for candidates with strong experience in genomic data analysis and enthusiasm in human populations and/or family history. Through regular mentorship from our scientists, you will gain valuable research experience for the next step in your career. You will have the opportunity to apply cutting edge computational and statistical approaches to the largest database of human genome and pedigree data in the world. You will develop methods to help millions of people understand their ancestry, their family, and themselves. Help us make an impact in this exciting field!Join the DNA Science team as a Co-op and conduct innovative research on the world’s largest genomic and pedigree database to further our knowledge on human populations and family history. This is a part-time, work-study focused position for 6 months intended for active master&#39;s and Ph.D. students.What you will do:<ul><li>You will assist in analyzing Ancestry’s massive-scale genomic datasets to help uncover deep insights into population structure, demographic history, and fine-scale genetic relationship inference.</li><li>You will apply and/or develop novel statistical models and computational methods, including Machine Learning and Deep Learning approaches, to solve complex genomics challenges.</li><li>You will engage in exploratory research, learning to navigate complex research while maintaining a focus on identifying next steps and demonstrating progress towards research milestones.</li><li>You will have the opportunity to contribute to the work that will be published in scientific journals and present at conferences.</li><li>You will collaborate with our research team to explore how your work can contribute to the Ancestry DNA product ecosystem and the broader scientific community. </li></ul>Who you are:<ul><li>Currently enrolled in a Graduate program (Ph.D. preferred, or MS) in Population Genetics, or Genomic Data Science, or Machine Learning with an interest in applying it to genomics.</li><li>Experience in applying computational and statistical methods to genomic datasets. Experience with modern AI methods is a plus.</li><li>Strong programming skills in Python or other languages that support efficient, large-scale data analysis and machine learning.</li><li>A mindset for critical thinking and innovation and the ability to demonstrate progress on exploratory tasks.</li><li>Ability to work up to 50% of your time at Ancestry while successfully balancing your graduate studies.</li><li>Good communication skills and a desire to learn how to present complex genomics and statistical concepts to various audiences. </li></ul>Additional Information:Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.All job offers are contingent on a background check screen that complies with applicable law. For candidates who live in San Francisco, CA, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.  Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

Graduate Research Co-op, Population Genetics/Genomic Data Science

Graduate Research Co-op

Graduate student in Population Genetics, Genomic Data Science, or ML in genomics; strong Python; experience with genomic datasets; able to balance part-time with studies; good communication.

Junior Python Developer Jobs in Mona, UT, US | HiringCafe: every job on earth

Junior Python Developer Jobs in Mona, UT, US

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