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Weekend Data Science Jobs in Havertown, PA (NOW HIRING)

Munich Re

Data Scientist

Philadelphia, PA · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Iff

AI & Data Scientist

Wilmington, DE

Job Summary Are you passionate about using AI, data science and digital innovation to transform quality operations and accelerate scientific decision-making? IFF is a global leader in flavors ...

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Showing results 21-40

All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Havertown, PA

Weekend Data Science information

See Havertown, PA salary details

$36.6K

$119.9K

$192K

How much do weekend data science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for weekend data science in Havertown, PA is $119,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,900.00 per year, depending on experience, location, and employer.

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are popular job titles related to Weekend Data Science jobs in Havertown, PA?

For Weekend Data Science jobs in Havertown, PA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Havertown, PA look for?

The top searched job categories for Weekend Data Science jobs in Havertown, PA are:

What cities near Havertown, PA are hiring for Weekend Data Science jobs?

Cities near Havertown, PA with the most Weekend Data Science job openings:

Weekend Data Science jobs near you

Director, Data, Data Science and Artificial Intelligence - Oncology / Bladder Cancer

Jj

Spring House, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 hours ago

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more athttps://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for aDirector, Data, Data Science and Artificial Intelligence - Oncology / Bladder Cancerto join the J&J Research and Development Data, Data Science, and AI (DDSAI) team. You will report to the Head of Solid Tumor Oncology, DDSAI. This position will be located in either New Brunswick, NJ; Spring House, PA; Titusville, NJ; Raritan, NJ; San Diego, CA ; or Cambridge, MA. (No remote option.)

Role Summary

The R&D Data, Data Science, and AI, Oncology Therapeutic Area team at J&J Innovative Medicine is dedicated to developing innovative solutions and critical insights to support clinical programs and regulatory submissions. This Director role, sitting on the Solid Tumor Oncology team, will direct and lead efforts to bring innovative Data Science approaches to late stage Oncology Compound Development Team(s) with a specific focus on the Bladder Cancer portfolio. You will work with cross-functional collaborative teams to transform Oncology clinical trials through cutting-edge AI, digital health technologies, and advanced statistical methodologies. This may include the discovery, development, and validation of novel AI endpoints, analytics to support study design and development, or innovative digital pathology approaches in support of translational research objectives. By combining deep knowledge of Oncology with expertise in Data, Data Science, and AI, you will deliver solutions that enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance. You will be a thought leader within Johnson & Johnson -- driving strategic collaborations, championing innovation, and elevating Data Science capabilities in the Oncology Therapeutic Area. The successful candidate will lead multidisciplinary teams, manage internal and external partnerships, and provide technical expertise to enhance R&D success and patient impact.


Key Responsibilities:

  • Serve as primary scientific and strategic business leader for clinical-stage Bladder Cancer Program within Data, Data Science, and AI
  • Represent Data Science to Compound Team(s), where you will identify, develop and deploy Data Science solutions, including program and trial AI strategy to support clinical development.
  • Provide subject matter expertise in bladder cancer clinical development, trial design, real-world evidence generation, and ML/AI tools.
  • With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets
  • Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Medical Affairs, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions.
  • Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for program needs

Required Qualifications:

  • Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high-dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science).
  • A minimum of 8 years experience in drug development or related discipline in the field of biotechnology, artificial intelligence, omics, or real-world evidence, or 8 years in clinical practice with outcomes research experience.
  • Working knowledge of clinical oncology, such as treatment paradigms, patient experience, and clinical trials
  • An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining
  • Hands-on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem-solving abilities
  • Experience working with healthcare-related datasets, such as electronic health records (EHR), omics, or imaging datasets, with an understanding of their structure, limitations and applications to research.
  • Prior experience working and driving external partnerships, either corporate or academic
  • Proven track record of managing timelines and driving key deliverables in a matrixed organization
  • Excellent communication, interpersonal, and written skills

Preferred Qualifications:

  • Working knowledge of genitourinary clinical oncology
  • Hematology/ Oncology fellowship training
  • R&D Experience at a pharmaceutical company, biotech or partner organization
  • Knowledge of regulatory science

This position will be located in either New Brunswick, NJ; Spring House, PA; Titusville, NJ; Raritan, NJ; San Diego, CA ; or Cambridge, MA. (No remote option.) This position may require up to 10% travel.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent's consent for the background check.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us viahttps://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $164,000 to $282,900. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

#LI-SL
#JNJDataScience
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Required Skills:

Preferred Skills:

Advanced Analytics, Business Case Modeling, Consulting, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Master Data Management (MDM), Negotiation, Product Portfolio Management, Quality Control (QC), Resource Planning, Tactical Planning, Technical Credibility

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