856 Scientist Science jobs in Devault,PA

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Clinical Laboratory Scientist

United States Army

Philadelphia, PA 19120

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Manager, Economic Services - Data Science

KPMG

Philadelphia, PA 19019

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Sales Representative III

Thermo Fisher Scientific

Philadelphia, PA 19120

~ 42 min Onsite

Bachelor's degree plus 5 years of sales experience, preferably in laboratory, scientific, or healthcare industries
Technical knowledge and ability to understand customer applications and workflows
Excellent communication, presentation and negotiation skills
Demonstrated ability to build and maintain customer relationships at all levels
Proficiency with CRM systems (preferably Salesforce) and MS Office suite
Analytical and strategic planning capabilities
Results-oriented with demonstrated success in achieving sales targets
Ability to work both independently and collaboratively in a matrix environment
Valid driver's license and ability to travel up to 50-75% within assigned territory
Fluency in English required; additional languages beneficial
Commitment to Thermo Fisher's core values of Integrity, Intensity, Innovation and Involvement

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Director, Business Development

LARIMAR THERAPEUTICS

Philadelphia, PA 19102

Paid Relocation to Philadelphia, PA

Remote

Bachelor's degree in business, economics, life sciences, or related field
10+ years of progressive experience in corporate strategy, business development, strategy consulting, M&A;, investment banking or related field
Experience working in a global life sciences organization required.
Strong financial modeling and Excel skills required, in addition to strong PowerPoint skills
Experience working with cross-functional teams and managing complex projects
Strong analytical and problem-solving skills
Excellent communication and presentation skills
Ability to work effectively in a fast-paced, dynamic environment
Strong leadership and team-building skills

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Director, Data Engineering & AI

ARAMARK

Philadelphia, PA 19103

RemoteHealth InsurancePaid Time OffRetirement Benefit

Expert-level, current proficiency in modern data engineering: Python, SQL, Spark, streaming frameworks (e.g., Kafka), orchestration tooling, and cloud data platforms (e.g., Snowflake, Azure)
Able to write and review production code personally, not only at a conceptual level.
Proven, personal experience developing and deploying machine learning models and generative AI/LLM applications into production
This should reflect direct authorship, not solely direction of others' work.
Hands-on experience with MLOps tooling, CI/CD pipelines, containerization, and model monitoring frameworks.
Demonstrated track record of delivering AI products that generated measurable business outcomes.
Strong engineering leadership skills with experience building and scaling delivery-oriented technical teams
Paired with a clear, recent record as a top individual technical contributor, not a manager who has drifted away from the technical work.
Comfortable moving fluidly between hands-on building (coding, prototyping, debugging production issues) and strategic work (roadmaps, architecture decisions, executive communication).
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
7+ years of data and software engineering experience, including 4+ years building AI/ML solutions and 2+ years in engineering leadership roles.
Experience should reflect _both_ strategic ownership (roadmap, architecture, team leadership) _and_ sustained, recent hands-on technical contribution
Candidates who have moved fully into management with no recent shipping experience are not a fit for this role.

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Physician Internal Medicine - Competitive Salary

Temple Health

Philadelphia, PA 19104

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Otolaryngology, Section Chief, Pediatric Otolaryngology

Tower Health

Philadelphia, PA 19134

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Physician Radiology-Abdominal - Competitive Salary

Pacific Companies

Philadelphia, PA 19104

Flexible Schedule

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Manager, Credit Analytics

OneMain Financial

Wilmington, DE 19805

HybridFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor Degree (Graduate Preferred) in a quantitative discipline, such as Engineering, Statistics, Economics, Business Management or Computer Science is preferred.
5+ years of experience in complex, data-driven problem solving. Master's or PHD degrees may offset experience.

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