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Temporary Machine Learning Postdoc Jobs in Orem, UT

Data Scientist

Lehi, UT

$120K - $145K/yr

This role focuses on applying machine learning and predictive modeling techniques to improve ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

Sr. Data Scientist

Lehi, UT · On-site

$150K - $185K/yr

Develop and evaluate innovative applications of machine learning within healthcare use cases ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

... and machine learning use cases * Identify and evaluate external data sources (second- and third ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

Data Engineer

Draper, UT · On-site

$100K - $114K/yr

... and machine learning * Identify and evaluate external data sources, and develop strategies to ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

... machine learning techniques. This is an exciting opportunity to make a significant impact within ... This includes, for example, situations where a candidate may have temporary work authorization ...

DIH O/N Team Associate

Spanish Fork, UT · On-site

$13.50 - $15/hr

Temporary Available shifts: Overnight Location Walmart Supercenter #4068 1206 N CANYON CREEK PKWY ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Employment Type: Full-Time, Temporary Available shifts: Opening, Morning, Mid-Shift, Closing ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Employment Type: Full-Time, Part-Time, Temporary Available shifts: Opening, Morning, Mid-Shift ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

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Temporary Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Orem, UT? The most popular types of Machine Learning Postdoc jobs in Orem, UT are:
What are popular job titles related to Temporary Machine Learning Postdoc jobs in Orem, UT? For Temporary Machine Learning Postdoc jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Orem, UT look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Orem, UT are:
Postdoctoral Fellow, Population Genetics/Genomic Data Science

Postdoctoral Fellow, Population Genetics/Genomic Data Science

Ancestry

Lehi, UT • Remote

$50K - $68K/yr

Full-time

Posted 27 days ago


Job description

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 HERE). 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'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 Postdoctoral Fellow and conduct innovative research on the world’s largest genomic and pedigree database to further our knowledge on human populations and family history.

What you will do:

  • You will analyze Ancestry’s massive-scale genomic datasets to uncover deep insights into population structure, demographic history, and fine-scale genetic relationship inference.

  • You will develop novel statistical models and computational methods, leveraging advanced Machine Learning and Deep Learning to solve complex genomic challenges.

  • You will conduct exploratory research while maintaining a focus on demonstrating progress, identifying clear next steps, and moving toward concrete milestones.

  • You will aim to publish original research in high-impact scientific journals and present your findings at top-tier conferences.

  • While your primary focus is research, you will have the chance to collaborate with other scientists to explore opportunities to integrate your research outcomes into the Ancestry DNA product ecosystem to benefit millions of customers. 

 

Who you are:

  • Ph.D. in Population Genetics, or Genomic Data Science, or Machine Learning (with experience applying it to genomic data).

  • Demonstrated expertise in applying and developing sophisticated computational methods. Experience with modern AI methods is a plus.

  • High proficiency in Python, C, or any other language that supports efficient, large-scale data analysis and machine learning.

  • A mindset for critical thinking and innovation, with a demonstrated ability to show results and progress while in an exploratory mode.

  • Strong communication skills to present complex genomics and statistical concepts to both technical and non-technical audiences. 

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.