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Science Manager Jobs in Pennsylvania (NOW HIRING)

Manager, Data Science An innovative global organization at the forefront of scientific knowledge, research intelligence, and AI-driven discovery is seeking an experienced Manager, Data Science to ...

Responsibilities : • Lead a Data Science team that spans early-career ICs through senior ICs. • Own hiring, performance management, and technical strategy for the function. • Partner closely ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

Science Teacher

Philadelphia, PA · On-site

$65K - $70K/yr

Excellent classroom management and communication skills. * Ability to engage and support students across elementary school grade levels. If you're a licensed Science Teacher looking for a full-time ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

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Science Manager information

See Pennsylvania salary details

$9

$26

$54

How much do science manager jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for science manager in Pennsylvania is $26.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $32.79 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a science manager?

To thrive as a Science Manager, you generally need a strong background in scientific research, leadership experience, and an advanced degree such as a PhD or MSc in a relevant field. Familiarity with data analysis software, laboratory information management systems (LIMS), and project management tools is typically required. Outstanding communication, problem-solving, and team-building skills help Science Managers effectively lead multidisciplinary teams and coordinate complex projects. These skills are crucial for ensuring scientific rigor, driving innovation, and achieving organizational objectives in research environments.

What is the difference between Science Manager vs Research Scientist?

AspectScience ManagerResearch Scientist
Required credentialsTypically a master's or PhD in a scientific field, leadership experienceUsually a PhD or master's in a specific science, strong research background
Work environmentLeads teams, manages projects, oversees research activitiesConducts experiments, analyzes data, publishes findings
Employer and industry usageUsed in biotech, pharma, research institutions, and corporate R&DCommon in academia, industry, government research labs

Science Managers focus on leading research teams and managing projects, while Research Scientists primarily conduct experiments and analyze data. Both roles require advanced scientific credentials, but their responsibilities and work environments differ significantly.

What is a science manager?

Science Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as research institutes, universities, government agencies, or private companies. Their responsibilities include coordinating research activities, managing budgets and resources, ensuring compliance with regulations, and facilitating communication between scientists and other stakeholders. Science Managers play a crucial role in translating scientific objectives into actionable plans and ensuring that projects are completed efficiently and effectively. They often have advanced degrees in science and strong leadership, organizational, and communication skills.

What are the main challenges a science manager faces when leading interdisciplinary research teams?

One of the main challenges Science Managers encounter is effectively coordinating communication and collaboration among team members from diverse scientific backgrounds. Aligning different methodologies, expectations, and terminologies can require extra effort to ensure everyone is working toward common goals. Additionally, Science Managers must balance administrative responsibilities, such as securing funding and managing budgets, with supporting the scientific growth of their team. Successful Science Managers foster an inclusive environment that encourages innovation while maintaining clear project timelines and deliverables.
What are the most commonly searched types of Science jobs in Pennsylvania? The most popular types of Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Science Manager jobs? Cities in Pennsylvania with the most Science Manager job openings:
Infographic showing various Science Manager job openings in Pennsylvania as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $54,938 per year, or $26.4 per hour.

Data Science Manager

SoTalent

Philadelphia, PA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Manager, Data Science


An innovative global organization at the forefront of scientific knowledge, research intelligence, and AI-driven discovery is seeking an experienced Manager, Data Science to lead teams developing advanced machine learning and generative AI solutions that support researchers, clinicians, educators, and institutions worldwide.

This is an opportunity to lead high-performing teams building intelligent systems that accelerate scientific discovery, improve access to knowledge, and drive meaningful real-world impact.

Key Responsibilities

Leadership & Strategy

  • Lead, mentor, and develop teams of Data Scientists, Machine Learning Engineers, Researchers, and AI specialists.
  • Define and execute data science strategies aligned with product and business objectives.
  • Foster a culture of innovation, collaboration, experimentation, and continuous learning.
  • Influence AI, product, and technology strategy across the organization.

AI & Machine Learning Development

  • Drive development of AI-powered capabilities across:
  • Generative AI
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Natural Language Processing (NLP)
  • Semantic Search
  • Recommendation Systems
  • Knowledge Graphs and Knowledge Systems
  • Ensure AI solutions are scalable, explainable, measurable, and trustworthy.
  • Establish best practices for experimentation, model evaluation, and responsible AI.

Cross-Functional Collaboration

  • Partner closely with Product, Engineering, UX, Analytics, Research, and domain experts.
  • Translate complex scientific, customer, and business challenges into scalable AI solutions.
  • Communicate technical concepts effectively to both technical and executive stakeholders.

Operational Excellence

  • Define success metrics and evaluation frameworks for AI products.
  • Guide teams through the full lifecycle of AI product development, from concept to production deployment.
  • Drive measurable business and customer outcomes through data-driven decision making.

Requirements

Essential

  • Significant experience leading Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, or related technical teams.
  • Proven success building and developing high-performing teams.
  • Strong expertise in:
  • Machine Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Retrieval Systems
  • NLP
  • Semantic Search
  • Experimentation and Model Evaluation
  • Experience delivering AI-powered products from concept through production.
  • Strong stakeholder management and communication skills.
  • Experience working with large-scale structured and unstructured datasets.
  • Ability to translate ambiguity into clear strategy and execution plans.

Preferred

  • Experience within scientific publishing, research technology, healthcare technology, knowledge management, or information services.
  • Familiarity with knowledge graphs, ontologies, metadata systems, and research data ecosystems.
  • Passion for applying AI to scientific advancement and knowledge discovery.

What's Offered

  • Leadership role with global impact.
  • Opportunity to shape next-generation AI solutions used by researchers and healthcare professionals worldwide.
  • Competitive compensation package.
  • Annual bonus opportunity.
  • Comprehensive benefits package.
  • Career development and leadership growth opportunities.
  • Collaborative, mission-driven environment focused on innovation and scientific progress.