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Remote Data Science Jobs in Lehi, UT (NOW HIRING)

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Lead Product Designer

Draper, UT · On-site +1

$144K - $178K/yr

This is a remote-friendly role reporting to a Design Director or the Head of Design, offering a ... Translate complex data, scientific insights, and fragmented features into simple, approachable, and ...

Lead Product Designer

Draper, UT · On-site +1

$144K - $178K/yr

This is a remote-friendly role reporting to a Design Director or the Head of Design, offering a ... Translate complex data, scientific insights, and fragmented features into simple, approachable, and ...

Lead Product Designer

Draper, UT · Remote

$158K - $195K/yr

This is a remote-friendly role reporting to a Design Director or the Head of Design, offering a ... Translate complex data, scientific insights, and fragmented features into simple, approachable, and ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Showing results 41-60

Remote Data Science information

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Data Science jobs in Lehi, UT?

The most popular types of Data Science jobs in Lehi, UT are:

What job categories do people searching Remote Data Science jobs in Lehi, UT look for?

The top searched job categories for Remote Data Science jobs in Lehi, UT are:

What cities near Lehi, UT are hiring for Remote Data Science jobs?

Cities near Lehi, UT with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Lehi, UT as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Medical Science Liaison (WA, OR or UT)

Argenx

Salt Lake City, UT • Remote

Full-time

Medical, Retirement

Posted 17 days ago


Job description

Join us as we transform immunology and deliver medicines that help autoimmune patients get their lives back. argenx is preparing for multi-dimensional expansion to reach more patients through a rich pipeline of differentiated assets, led by VYVGART, our first-in-class neonatal Fc receptor blocker approved for the treatment of gMG, and with the potential to treat patients across dozens of severe autoimmune diseases.

We are building a new kind of biotech company, one that maintains its roots as a science-based start-up and pushes our commitment to innovate across all corners of our business. We strive to inspire and grow our company, our partnerships, our science, and our people, because when we do, we deliver more for patients.

It is an exciting time of growth forargenxas we strive to achieve our VISION 2030. Vision 2030 is our long-term commitment to transform the treatment of autoimmune diseases by strengthening our leadership in neonatal Fc receptor (FcRn) biology, investing in our continuous pipeline of differentiated antibody candidates, and scaling in a disciplined way to ensure innovationremainscore to theargenxmission. 'Vision 2030' includes the following goals: 50,000 patients globally on treatment with anargenxmedicine, 10 labeled indications across all approved assets, including VYVGART and potentiallyempasiprubartand ARGX-119 and five new molecules in Phase 3 development.

The Medical Science Liaison (MSL), a field-based extension of the Medical Affairs team, is an expert onargenx'sscientific data,productsand trials, andis responsible forengagement with Key Opinion Leaders at academic and community centers, including potential and confirmed clinical research sites.

  • The MSL willrepresentand reflectargenx'svalues as a science-driven, patient-centric organization developing innovative medicines for patients and always upholding the highest ethical standards
  • The MSL will support KOL development and advocacy while serving as a strategic field partner with cross-functional colleagues
  • The MSL is critical in understanding the management of diseases of interest, mapping the patient journey,identifyingunmet medical needs and datagapsand gathering and sharing insights to enhance patient care
  • The MSL willidentifyclinical trial sites and opportunities for research, work closely with clinical development colleagues to coordinate with external stakeholders, support execution of clinical studies and build productive collaborations

This position is remote and will cover the following territory: Oregon, Utah Washington, Idaho, Montana and Alaska

Roles and Responsibilities:

  • Expert medical resource andargenxambassador
  • Develop and continuouslymaintainthe highest scientific and medicalexpertiseof all relevant diseases, products, development plans, and be acknowledged internally and externally as an expert
  • Identifyand develop productive collaborations with Key Opinion Leaders, other importantcustomersand stakeholders, including professional organizations
  • Support the development and implementation Strategic Territory Plans to advance Medical Affairs strategy
  • Maintaina high levelof knowledge of and appropriately implement current local pharmaceutical regulation and ensure implementation ofargenxpolicies and procedures
  • Scientific/medical exchange and education, and insight generation
  • Ensuretimelyand informative scientific/medical exchanges with external stakeholders that accurately reflect scientific data and research objectives
  • Deliver high quality scientific/medical education in a variety of settings, including related to disease states of interest, clinical studies, investigational products, licensed products and obtain valuable insights that can bedisseminatedthroughout the organization
  • Implement Medical Affairs tactics to assess potential new indications, including the treating community, patient pathways, diagnosticpracticesand management
  • Coordinate thetimelyandappropriate responseto external Medical Information enquires
  • Identifypotential high-impact medical research projects and publication opportunities, in line withargenxidentifiedareas of interest
  • Attendappropriate local, national, and international meetings and congresses to gather intelligence, develop productive collaborations,assistpersonal education, ensuring insights are shared withinargenx
  • Ensure all external interactions are conductedin accordance withargenxobjectives, compliancepoliciesand procedures as well as with established legal and ethical standards
  • Ensure all relevant knowledge, including activities and interaction with important contacts is systematically captured anddisseminatedwithinargenxas appropriate
  • Clinical trial education and support
  • In collaboration withargenxclinical development and operations teams:
  • Identifypotential investigators and centers for participation in clinical research, support feasibilityassessmentsand site initiation, and develop andmaintainproductive collaborations
  • Conduct training with CRO, CRAs and study site staff asrequired
  • Develop and execute theoptimalsite contact plan ensuring to build andmaintainproductive collaborations with sites to support clinical research and KOL development and advocacy,
  • Support the resolution of study issues at a site level
  • Escalate any safety reports consistent withargenxpolicy
  • Provide insightful feedback to internal and external stakeholders as appropriate
  • The MSL is not responsible foradvisingsites about detailed study specific procedures or making decisions about clinical study operational issues and should refer these to the relevant colleagues
  • Cross-functional collaboration
  • Ensure a close working relationship with allargenxfunctions, including cross-functional field partners
  • Support cross-functional teams to ensure operations are patient-focused, including rapidly responding to internal and external requests to discuss specific situations and challenges and provide medical affairs support to all stakeholders

Skills and Competencies:

  • Ability to quickly understand complex disease areas, treatments and clinical development plans, healthcare landscape, hospital systems, healthcare professionals, and patient journey
  • Demonstrated ability to build productive collaborations with medical experts
  • Excellent communication skills: verbal, written and when giving presentations
  • Able to thrive as part of a team and when working independently
  • Proventrack recordof delivering results that meet or exceed targeted objectives

Education, Experience and Qualifications:

  • Scientific,healthcareor medical degree (PharmD, PhD, MD, DO,DNP, PA)
  • 3+ years field-based experience in biopharmaceutical industry
  • Experience in clinical R&D and/or medical affairs preferred
  • Clinical experience in neurology, hematology, immunology, and/or rare diseases is an advantage
  • Knowledge of regulations and practices related to industry interactions with healthcare professionals
  • Valid driver's license
  • Ability for 50% travel

#LI-Remote

For applicants in the United States: The annual base salary hiring range for this position is $184,000.00 - $253,000.00 USD. This range reflects our good faith estimate at the time of posting. Individual compensation is determined using objective, inclusive, and job-related criteria such as relevant experience, skills, demonstrated competencies and internal equity. This means actual pay may differ from the posted range when justified by these factors. Because market conditions evolve, pay ranges are reviewed regularly and may be adjusted to remain aligned with external benchmarks.

This job is eligible to participate in our short-term and long-term incentive programs, subject to the terms and conditions of those plans and applicable policies. It also includes a comprehensive benefits package, including but not limited to retirement savings plans, health benefits and other benefits subject to the terms of the applicable plans and program guidelines.

At argenx, all applicants are welcomed in an inclusive environment. They will receive equal consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other applicable legally protected characteristics. argenx is proud to be an equal opportunity employer.

Before you submit your application, CV or any other personal details to us, please review our argenx Privacy Notice for Job Applicants to learn more about how argenx B.V. and its affiliates ("argenx") will handle and protect your personal data. If you have any questions or you wish to exercise your privacy rights, please contact our Global Privacy Office by email at privacy@argenx.com.

If you require reasonable accommodation in completing your application, interviewing, or otherwise participating in the candidate selection process please contact us at hr.us@argenx.com. Only inquiries related to an accommodation request will receive a response.