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Remote Data Science Jobs in Hopatcong, NJ (NOW HIRING)

TechData Service Company LLC

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Remote Statistical Programmer

Warren, NJ · Remote

$75 - $85/hr

Quantive Intelligence (QI) is a Decision Sciences platform specializing in biometrics services ... QI operates as an intelligence layer between complex clinical trial data and confident regulatory ...

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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.

More about Remote Data Science jobs
What cities near Hopatcong, NJ are hiring for Remote Data Science jobs? Cities near Hopatcong, NJ with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Hopatcong, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Medical Science Director Southern CA

System One

Parsippany, NJ • Remote

$200K - $235K/yr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 26 days ago

Job description

Job Title: Medical Science Director/Medical Science Liaison - Southern CA Location: Southern, CA Type: Direct Hire Compensation: $200,000.00 - $235,000.00 Contractor Work Model: Remote – offsite

Responsibilities

  • Support medical affairs activities across oncology, infectious disease, nephrology, acute care, and related therapeutic areas through compliant scientific exchange, insight gathering, and cross-functional collaboration.
  • Serve as a scientific resource to healthcare providers (HCPs), key opinion leaders (KOLs), pharmacy stakeholders, and institutional decision-makers across inpatient and outpatient healthcare settings.
  • Identify and engage emerging and established KOLs, maintaining relationships within clinical decision-making institutions.
  • Develop and support scientific discussions at medical congresses, advisory boards, and professional society meetings.
  • Contribute to medical strategies involving publication planning, evidence dissemination, and internal cross-functional support.
  • Support clinical trial site identification, investigator education, and collaborative research initiatives.
  • Respond to medical information requests, document adverse events, and ensure compliance with pharmacovigilance procedures.
  • Provide scientific education and training to internal stakeholders, collaborating within a matrix organization to drive aligned medical objectives.
Requirements
  • Advanced healthcare or scientific degree (MD, DO, PharmD, PhD, DNP, NP, PA-C, or equivalent).
  • Prior field medical/MSD/MSL experience preferred, including 1+ years of scientific engagement experience.
  • 1–5+ years of experience within an academic institution, healthcare system, pharmaceutical, biotech, or related industry setting preferred.
  • Oncology experience required, with experience in infectious disease, nephrology, critical care, or supportive oncology strongly preferred.
  • Experience supporting hospital-based specialty products preferred.
  • Proven ability to engage healthcare systems, institutional stakeholders, and KOLs.
  • Exceptional scientific communication and presentation skills.
  • Strong relationship-building, organizational, analytical, and problem-solving skills.
  • Ability to operate independently, manage multiple priorities, and demonstrate professionalism and integrity.
  • Proficiency in scientific literature evaluation, medical data interpretation, and insight gathering.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #568-Clinical