2

Remote Science Jobs in Pennsylvania (NOW HIRING)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... D. in Materials Science and Engineering, or Physics, or other related fields. Experience in ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS The Department of Materials Science and Engineering in the College of Earth and ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS The Department of Meteorology and Atmospheric Sciences at Penn State University ...

Electrical Designer | Remote

Pittsburgh, PA ยท On-site +1

$48.08 - $67.31/hr

This fully remote opportunity allows you to work on high-impact projects in the chemical, food ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

New

Data Scientist

Conshohocken, PA ยท On-site +1

$175K/yr

... Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed) Our client is building a data-driven culture where ...

$35/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... AND POSITION REQUIREMENTS The Department of Materials Science and Engineering in the College of ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Candidates willpossessa PhD in Artificial Intelligence, Computer Science, Computer Engineering ...

For additional information on remote work at Penn State, seeNotice to Out of State Applicants. AND POSITION REQUIREMENTS The U.S. National Science Foundation National Synthesis Center for Emergence ...

Showing results 41-60

Remote Science information

See Pennsylvania salary details

$24.6K

$48.5K

$79.2K

How much do remote science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote science in Pennsylvania is $48,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,600.00 and $52,100.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and environmental consultants. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, with many roles offering flexible schedules and the use of collaboration tools like video conferencing and cloud-based data sharing.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.
What are the most commonly searched types of Science jobs in Pennsylvania? The most popular types of Science jobs in Pennsylvania are:
What are popular job titles related to Remote Science jobs in Pennsylvania? For Remote Science jobs in Pennsylvania, the most frequently searched job titles are:
What cities in Pennsylvania are hiring for Remote Science jobs? Cities in Pennsylvania with the most Remote Science job openings:
Infographic showing various Remote Science job openings in Pennsylvania as of August 2026, with employment types broken down into 3% Internship, 78% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution, with an average salary of $48,507 per year, or $23.3 per hour.

Senior Data Science Engineer/Specialist

Concurrent Technologies Corporation

Johnstown, PA โ€ข On-site, Remote

$104K - $142K/yr

Full-time

Re-posted 23 days ago


Job description

Senior Data Science Engineer/Specialist
Concurrent Technologies Corporation
Remote
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Secret
Employee Background Check Required
CTC Engineering and Manufacturing: Where Cutting-Edge Innovation Meets Mission-Critical Solutions
The CTC Engineering Division specializes in transforming cutting-edge technologies into real-world solutions. We harness the power of 3D printing, advanced joining techniques like friction stir welding, and cutting-edge design tools to tackle complex challenges for a diverse set of clients.
As a Senior Data Science Engineer/Specialist, you will serve as a technical leader, applying advanced data science and mathematical techniques to solve complex and mission-critical challenges for Department of Defense (DoD) clients. You will lead projects, mentor junior staff, and drive the development of innovative solutions that enhance decision-making and operational efficiency. This role requires a high degree of technical expertise, strategic thinking, and the ability to work independently while managing multiple priorities.
Key Responsibilities:
Technical Leadership and Project Management:
  • Lead the planning, execution, and delivery of complex data science and mathematics projects, ensuring alignment with client objectives and timelines.
  • Provide technical leadership and mentorship to junior and mid-level team members, fostering their professional growth.
  • Collaborate with stakeholders to define project requirements, scope, and deliverables.
  • Identify risks, develop mitigation strategies, and ensure the successful completion of projects.

Advanced Data Analysis and Modeling:
  • Design and implement advanced statistical, predictive, and machine learning models to address complex client challenges.
  • Perform sophisticated exploratory data analysis (EDA) to identify actionable insights and inform decision-making.
  • Develop and refine mathematical models for simulation, optimization, and forecasting tasks.

Algorithm Development and Innovation:
  • Lead the design, development, and optimization of algorithms for data processing, analysis, and modeling.
  • Validate and deploy algorithms in operational environments, ensuring scalability and reliability.
  • Drive innovation by researching and applying cutting-edge techniques in data science, artificial intelligence, and mathematics.

Tool and Technology Utilization:
  • Utilize advanced programming skills in Python, R, MATLAB, or similar languages to develop custom solutions.
  • Leverage data visualization tools (e.g., Tableau, Power BI, matplotlib) to create compelling and actionable insights.
  • Integrate data science workflows into enterprise systems and processes to enhance operational efficiency.

Collaboration and Communication:
  • Serve as a primary point of contact for clients, providing regular updates and ensuring satisfaction with deliverables.
  • Prepare and deliver high-quality technical reports, presentations, and documentation for diverse audiences, including senior leadership.
  • Facilitate cross-functional collaboration with multidisciplinary teams to achieve project goals.

Research and Development:
  • Lead research initiatives to explore emerging data science techniques, tools, and technologies.
  • Develop innovative methodologies and frameworks to address evolving client needs.
  • Publish findings and contribute to the broader data science and mathematics community.

Support for DoD Projects:
  • Provide expert analysis and recommendations to support DoD mission objectives and strategic decision-making.
  • Develop and implement advanced tools, processes, and methodologies to improve operational capabilities for DoD clients.
  • Ensure all deliverables comply with DoD standards, policies, and security requirements.

Concurrent Technologies Corporation (CTC) is preparing to stand up a dedicated team to manage a new, high-priority initiative for the U.S. Navy. This is a unique opportunity to help revitalize and strengthen a critical national security industrial base. As the manager of a large portfolio of innovative projects under a flexible contracting vehicle, CTC will be at the center of this mission. Our role will be to connect cutting-edge solutions from across industry and academia to the Navy's most pressing challenges, accelerating technology adoption and ensuring our nation's defense industrial base has the capacity and capability for decades to come. This is a fast-paced, dynamic program where you will play a foundational role in its success. We are seeking talented professionals to join us in this exciting and impactful work.
As a Senior Data Science Engineer, you will transform vast streams of project data into actionable intelligence and strategic insights for government leadership. You will develop the dashboards, analytics, and reports that provide radical transparency into the performance and impact of this national security program.
Required Qualifications:
  • Bachelor's degree in Data Science, Mathematics, Computer Science, Engineering, or a related field.
  • 4+ years of relevant experience in data science, mathematics, or related fields.
  • Advanced proficiency in programming languages such as Python, R, MATLAB, or similar.
  • Strong expertise in statistical methods, machine learning techniques, and mathematical modeling.
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) and data engineering concepts.
  • Proven ability to lead projects, manage teams, and deliver high-quality results.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong written and verbal communication skills, with experience presenting to technical and non-technical audiences.

Preferred Qualifications:
  • Master's or Ph.D. in Data Science, Mathematics, Computer Science, Engineering, or a related field.
  • Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Advanced knowledge of database systems (e.g., SQL, NoSQL) and cloud computing platforms (e.g., AWS, Azure, Google Cloud).
  • Experience working in DoD or government contracting environments, with a strong understanding of DoD standards and policies.
  • Demonstrated ability to develop and implement innovative solutions to complex technical challenges.
  • Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.

Work Environment/Conditions:
  • Determined by management if applicable.

Why CTC?
  • Mastering the future of manufacturing: Be at the forefront of technological advancements in advanced manufacturing.
  • Innovate for impact: Your work will push the boundaries of what's possible, from next-generation armaments to groundbreaking environmental solutions that directly impact critical missions and the lives of those protecting our country.
  • Work alongside the best: Collaborate with a passionate team of engineers and scientists, united by a shared drive to excel and a commitment to delivering outstanding results.
  • Leave your mark: CTC is more than just a job. It's a launchpad for your engineering dreams.
  • โ€ข Competitive salary and benefits package.
  • โ€ข Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
  • โ€ข Visit www.ctc.com to learn more.

Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.
https://concurrent-technologies-corporation.breezy.hr/
Staffing Requisition: SR# 2026-0076
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law."