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Remote Data Science Jobs in York, PA (NOW HIRING)

This is a full-time career opportunity that can be remote. Responsibilities include ensuring system ... This role is a key contributor to maintaining data hygiene and data integrity for retail credit.

Senior Systems Analyst

PA · On-site +1

$81K - $135K/yr

Overview This is a full-time career opportunity that can be remote. Must have the ability to travel ... Business administration, computer science, information science, or a related field. (Required ...

Senior Systems Analyst

PA · Remote

$81K - $135K/yr

Overview This is a full-time career opportunity that can be remote. Must have the ability to travel ... Business administration, computer science, information science, or a related field. (Required ...

Senior Systems Analyst

PA · Remote

$81K - $135K/yr

This is a full-time career opportunity that can be remote. Must have the ability to travel to our ... Business administration, computer science, information science, or a related field. (Required ...

This is a full-time remote career opportunity within the Fulton Bank footprint as follows: DC, DE ... Ensure data accuracy through ongoing audits, data validation routines, and proactive issue ...

Overview This is a full-time remote career opportunity within the Fulton Bank footprint as follows ... Ensure data accuracy through ongoing audits, data validation routines, and proactive issue ...

Overview This is a full-time remote career opportunity within the Fulton Bank footprint as follows ... Ensure data accuracy through ongoing audits, data validation routines, and proactive issue ...

Overview This is a full-time remote career opportunity within the Fulton Bank footprint as follows ... Ensure data accuracy through ongoing audits, data validation routines, and proactive issue ...

Showing results 21-40

Remote Data Science information

See York, PA salary details

$22.4K

$99.9K

$190.6K

How much do remote data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data science in York, PA is $99,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,585.00 and $138,517.00 per year, depending on experience, location, and employer.

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).

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 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.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

What are the most commonly searched types of Data Science jobs in York, PA?

The most popular types of Data Science jobs in York, PA are:

What are popular job titles related to Remote Data Science jobs in York, PA?

For Remote Data Science jobs in York, PA, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in York, PA look for?

The top searched job categories for Remote Data Science jobs in York, PA are:

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

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

Infographic showing various Remote Data Science job openings in York, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $99,866 per year, or $48 per hour.

Postdoctoral Scholar - Molecular and Precision Medicine / Medicine

The Pennsylvania State University

Hershey, PA • On-site, Remote

Full-time

Posted 16 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.

POSITION SPECIFICS

The Mills and Mysorekar Laboratories in the Department of Medicine / Molecular and Precision Medicine at Penn State College of Medicine invite applications for a Postdoctoral Scholar to join a highly collaborative team and translational research programs focused on mucosal biology, aging, infectious diseases, and cancer-associated tissue remodeling.

Our laboratories integrate molecular, cellular, and systems-level approaches with advanced model systems-including organoids and in vivo disease models-to investigate mechanisms regulating epithelial homeostasis, host-pathogen interactions, immune responses, and age-associated tissue dysfunction.

The successful candidate will join a robust and intellectually vibrant research team composed of graduate students, postdoctoral fellows, and technical staff working collaboratively across multiple complementary projects. This position offers the opportunity to lead an independent research direction within a supportive, well-funded, and highly interactive environment. This position offers strong scientific mentorship, access to cutting-edge technologies, and opportunities for career development in academic medicine.

Research Areas of Interest

We are particularly interested in candidates with expertise in one or more of the following areas:

  • Mucosal immunology and epithelial biology
  • Aging biology, tissue regeneration, balance between stem cell recruitment and aging
  • Host-pathogen interactions and infectious disease models
  • Tumorigenesis, paligenosis, and tumor-microenvironment interactions
  • Organoid, assembloid, or advanced tissue modeling systems
  • Molecular pathways regulating inflammation, immune signaling, or cellular stress responses

Responsibilities

  • Design, execute, and interpret independent research projects
  • Apply molecular, cellular, and systems biology approaches to mechanistic questions
  • Utilize advanced model systems including organoids and in vivo disease models
  • Generate high-quality, reproducible data suitable for publication in leading peer-reviewed journals
  • Prepare manuscripts and contribute to grant development
  • Present findings at laboratory meetings and national/international conferences
  • Mentor graduate students and junior trainees as appropriate

Required Qualifications

  • PhD, MD/PhD, or equivalent doctoral degree in immunology, microbiology, molecular biology, cancer biology, aging biology, or related discipline
  • Strong publication record in peer-reviewed scientific journals
  • Demonstrated expertise in molecular and cellular biology techniques
  • Evidence of scientific independence and critical thinking
  • Ability to work both independently and collaboratively in a multidisciplinary research environment

Preferred Qualifications

  • Experience with organoid systems or advanced 3D culture models
  • Experience with infection biology or immune signaling pathways
  • Experience with in vivo disease models
  • Strong quantitative, imaging, or computational analysis skills

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

For more detailed information, please visit ourBenefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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