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Remote Data Science Physics Jobs in Acme, PA (NOW HIRING)

410 ICR United States USA

CRA II

United, PA · Remote

Performing data review and resolution of queries to maintain high-quality clinical data ... Bachelor's degree in a scientific or health-related field or an equivalent combination of education ...

Hitachi, Ltd.

Field Service Engineer

Mount Pleasant, PA · On-site +1

Engineering & Science Job Schedule: Full time Remote: Yes Field Service Engineer positions offered ... Compile and evaluate data to determine and resolve operating problems or malfunctions. Conduct ...

All JobsData Science Physics JobsRemote Data Science Physics JobsRemote Data Science Physics Jobs in Acme, PA

Remote Data Science Physics information

What is a remote data science physicist?

A Remote Data Science Physics job involves using data science tools, such as statistical analysis, machine learning, and programming, to solve problems or analyze data related to physics, all while working from a remote location. Professionals in this field may work on projects like simulations, data modeling, or research for academic or industry settings. They apply their understanding of physics concepts alongside data science skills to extract meaningful insights from large and complex datasets. This role often requires proficiency in programming languages like Python or R, knowledge of data analysis techniques, and a strong foundation in physics.

What are the key skills and qualifications needed to thrive as a remote data science physicist?

To thrive as a Remote Data Science Physicist, you need a strong background in physics, statistics, and mathematics, typically supported by a relevant degree (such as Physics or Data Science) and experience with data analysis. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with familiarity with cloud-based collaboration platforms. Excellent problem-solving skills, communication, and self-motivation are crucial soft skills for remote work and interdisciplinary collaboration. These skills ensure accurate data-driven insights, effective teamwork, and successful project delivery in a remote environment.

How do remote data science physicists typically collaborate with multidisciplinary teams despite working offsite?

Remote data science physicists often work closely with software engineers, domain scientists, and project managers through virtual collaboration tools such as Slack, Zoom, and cloud-based platforms for data sharing and analysis. Regular online meetings, shared documentation, and version-controlled repositories (like GitHub) are essential for maintaining clear communication and workflow alignment. While remote work offers flexibility, it requires proactive communication and strong organizational skills to ensure seamless integration with the broader research or product development team.

What is the difference between Remote Data Science Physics vs Remote Data Science Engineering?

AspectRemote Data Science PhysicsRemote Data Science Engineering
Required CredentialsPhysics degree, data science certificationsEngineering degree, data science certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, manufacturing, software companies
Industry UsageScientific research, academia, tech innovationProduct development, systems engineering, software solutions

Remote Data Science Physics focuses on applying physics principles to data analysis and modeling, often in research or scientific contexts. Remote Data Science Engineering emphasizes developing data-driven products and systems within engineering and technology sectors. While both roles require data science skills, their industry applications and focus areas differ significantly.

Can I get a remote data science physics job with a physics degree?

A physics degree can qualify you for remote data science physics roles, especially if you have skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL. Many employers value strong analytical and problem-solving skills, and remote positions often require proficiency in collaboration platforms and self-motivation. Additional certifications or experience in machine learning or data engineering can enhance your prospects in this field.

Can I work remotely as a data scientist?

Remote data science positions are common in the industry, allowing professionals to work from various locations. These roles typically require strong skills in programming, data analysis, and tools like Python or R, and often involve collaboration via online platforms. Many companies offer flexible or fully remote arrangements for data scientists.

What cities near Acme, PA are hiring for Remote Data Science Physics jobs?

Cities near Acme, PA with the most Remote Data Science Physics job openings:

Remote Data Science Physics jobs near you

Principal Clinical Data Science Lead

535 ICR Colombia - COL

United, PA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New

Job description

Principal Clinical Data Science Lead - United States, Mexico, Colombia (Remote)

ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.


As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.


We have an incredible opportunity for a Principal Clinical Data Science Lead to join ICON’s Full-Service IOD Clinical Data Science team. The Principal Clinical Data Science Lead (Principal CDSL) leads and serves as the primary contact for end-to-end data review activities performed on clinical trials. They are accountable for achieving clinical data science deliverables on-time, with high-quality, and to agreed financial metrics. The Principal CDSL will serve as the primary point of contact for internal and external team members regarding clinical data review activities and lead these data review activities to ensure delivery of data fit for analysis. They will provide input into clinical system development activities and clinical risk management activities.

Locations: remote or hybrid

  • Mexico
  • Colombia
  • United States

What you will be doing:

  • Develops and oversees timeliness of clinical data science activities during the life cycle of studies as it relates to data review and data delivery milestones
  • Participates in Sponsor and/or third-party audits
  • Forecasts budget, hours, and resourcing for clinical data review activities
  • Performs analytic review as defined in the scope of work and functional plans focusing on errors that matter or have a meaningful impact on the safety of the subject or interpretation of the final analysis
  • Accountable for the development of planning documents related to data review, data analytics, and data deliverables
  • Establishes approach and leads resources to achieve operational and strategic plans
  • Travel (approximately 15%) domestic and/or international

Your profile:

  • 8+ years of clinical data management experience in a clinical research organization or pharmaceutical company
  • 2+ years of experience working in a clinical research organization (CRO)
  • Experience with all steps within the data science lifecycle and most major data science study tasks, with proficiency in at least one Clinical Data Management system required (e.g., Rave, Inform, Oracle Clinical, OCRDC, UX EDC)
  • Strong project management skills with experience leading multiple projects simultaneously
  • Excellent leadership and communication skills
  • Budget and timeline management experience
  • Data Analytic and Data Validation experience
  • Established Mentor and/or SME experience
  • Bachelor’s degree or local equivalent
  • Equivalent combination of education, training, and relevant experience may be considered in place of the education and experience stated above. All employees must read, write, and speak fluent English and host country language.

* Please submit all applications in English *

#LI-Remote

#LI-TP1


Employment with ICON is contingent upon having the legal right to work in the country where the role is based.


Rewards & Benefits

ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.


Benefits may include:

  • Competitive base salary and performance related incentives
  • Health and wellbeing programmes including medical, dental, and vision coverage where applicable
  • Retirement and pension plans
  • Life assurance and disability coverage
  • Employee assistance programmes and wellbeing resources
  • Learning and development opportunities through structured training and career pathways

Benefits may vary depending on role and location.


Visit our careers site to read more about the benefits ICON offers.


Inclusion and Accessibility

ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.


If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.

Are you a current ICON Employee? Please click here to apply