Intern - Industrial Hygienist jobs at Teva

Embark on a future with an international pharmaceuticals company, contributing your creative energy to high-impact projects from the moment you arrive through the course of this 12 week experience. You will take part in meaningful work and real-life projects that will help you grow both professionally and personally throughout the program.

• Location: (West Chester, PA)
• Length: minimum of 12 weeks (TBD during mid-May through mid-August)
• Schedule: You must be available to work a 40-hour work week (onsite) for 12 weeks
• Pay: TBD

Tasks & responsibilities

• During the 12 week program, you will gain in-depth insight into the Global Statistical and Programming department.
• Supported by a mentor and experienced colleagues, you will be directly involved in our daily business and be assigned tasks within diverse projects.
• You will also play an important role in the development of concepts and initiatives within the (SDTM clinical programming) business unit.

• Currently enrolled in a Bachelor's or Master's degree in Computer Science or related field program.
• Strong programming skills in Python
• Fundamental understanding and experience in machine learning (supervised/unsupervised learning, model training, evaluation)
• Familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar
• Strong problem-solving and analytical skills
• Excellent communication skills and ability to work independently

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Embark on a future with an international pharmaceuticals company, contributing your creative energy to high-impact projects from the moment you arrive through the course of this 12 week experience. You will take part in meaningful work and real-life projects that will help you grow both professionally and personally throughout the program.

• Location: (West Chester, PA)
• Length: minimum of 12 weeks (TBD during mid-May through mid-August)
• Schedule: You must be available to work a 40-hour work week (onsite) for 12 weeks
• Pay: TBD

Tasks & responsibilities

• During the 12 week program, you will gain in-depth insight into the Global Statistical and Programming department.
• Supported by a mentor and experienced colleagues, you will be directly involved in our daily business and be assigned tasks within diverse projects.
• You will also play an important role in the development of concepts and initiatives within the (SDTM clinical programming) business unit.

• Currently enrolled in a Bachelor's or Master's degree in Computer Science or related field program.
• Strong programming skills in Python
• Fundamental understanding and experience in machine learning (supervised/unsupervised learning, model training, evaluation)
• Familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar
• Strong problem-solving and analytical skills
• Excellent communication skills and ability to work independently

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

• Advise and guide end users regarding the use of a broad range of products, tools and services within the IT domain
• Follow a standard call flow and service request / incident handling processes: Verify entitlement, perform troubleshooting and problem determination. Resolve and close the ticket or route the ticket to the appropriate resolver team.
• Use technical resources and tools, answer end users’ queries.
• Utilize their product, technology, services skills to identify issues which may be related to products’ installation, updates, configuration, operation or performance.

• English – reading, writing, speaking
• Bachelor’s in computer science, Engineering, or related discipline with an IT certificate / diploma is preferred
• 1 to 3 years' experience as a technical service desk agent
• Worked as part of 7/24/365 global operations teams
• Excellent logical reasoning, troubleshooting and problem determination skills
• Knowledge and experience with Remote takeover tools• Understanding of ITIL (IT Infrastructure Library)
• Experience with ServiceNow or similar Incident Management Tool
• Knowledge on handling Service Requests and Incidents
• Knowledge on Email tools like MS-Outlook and MS-Exchange
• Knowledge on Networking (VPN/Connectivity Issues), Internet Security,
• Knowledge on Windows, Mac O/s (Basics), Android, iOS
• Knowledge on instant messaging tools like MS-Teams
• Working knowledge on O365
• Experience with working in a pharma / Biotech / GxP environment is preferred

First Line Manager

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Embark on a future with an international pharmaceuticals company, contributing your creative energy to high-impact projects from the moment you arrive through the course of this 12-week experience. You will take part in meaningful work and real-life projects that will help you grow both professionally and personally throughout the program.

• Location: West Chester, PA
• Length: minimum of 12 weeks (TBD during mid-May through mid-August)
• Schedule: You must be available to work a 40-hour work week (onsite) for 12 weeks
• Pay: TBD

Tasks & responsibilities

• During the 12-week program, you will gain in-depth insight into the R&D Global Statistics and Data Science department and Real-World Evidence (RWE) group.
• Supported by a mentor and experienced colleagues, you will be directly involved in our daily business and be assigned tasks within diverse projects that involves applying cut-edge statistical methods and using real-world data to generate insights and evidence for better understanding diseases and improving patient outcomes.
• You will also play an important role in the development of concepts and initiatives within the RWE Statistics business unit.

• Currently enrolled in PhD program of Biostatistics, Statistics
• Fundamental understanding and experience in statistical concepts and modeling, such as regression, survival analysis, multiple imputation, machine learning, etc.
• Experience in working with RWD and/or clinical trial data preferred

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Embark on a future with an international pharmaceuticals company, contributing your creative energy to high-impact projects from the moment you arrive through the course of this 12-week experience. You will take part in meaningful work and real-life projects that will help you grow both professionally and personally throughout the program.

• Location: West Chester, PA
• Length: minimum of 12 weeks (TBD during mid-May through mid-August)
• Schedule: You must be available to work a 40-hour work week (onsite) for 12 weeks
• Pay: TBD

Tasks & responsibilities

• During the 12-week program, you will gain in-depth insight into the R&D Global Statistics and Data Science department and Real-World Evidence (RWE) group.
• Supported by a mentor and experienced colleagues, you will be directly involved in our daily business and be assigned tasks within diverse projects that involves applying cut-edge statistical methods and using real-world data to generate insights and evidence for better understanding diseases and improving patient outcomes.
• You will also play an important role in the development of concepts and initiatives within the RWE Statistics business unit.

• Currently enrolled in PhD program of Biostatistics, Statistics
• Fundamental understanding and experience in statistical concepts and modeling, such as regression, survival analysis, multiple imputation, machine learning, etc.
• Experience in working with RWD and/or clinical trial data preferred

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Embark on a future with an international pharmaceuticals company, contributing your creative energy to high-impact projects from the moment you arrive through the course of this 12-week experience. You will take part in meaningful work and real-life projects that will help you grow both professionally and personally throughout the program.

• Location: West Chester, PA 19380
• Length: minimum of 12 weeks (TBD during mid-May through mid-August)
• Schedule: You must be available to work a 40-hour work week for 12 weeks
• Pay: TBD

Tasks & responsibilities

• During the 12 week program, you will gain in-depth insight into the Drug Product Development department.
• Learn and apply High Throughput Experimentation (HTE) strategies and equipment
• Explore and develop new formulation technologies
• Gain hands-on experience with dynamic light scattering (DLS), static light scattering (SLS), and full spectrum fluorescence (FSF) to study the colloidal and conformational stability of antibodies
• Learn how to plan and execute scientific experiments: prepare samples, perform testing, record results in electronic notebook, analyze data, prepare final presentation.

Qualifications

• Currently enrolled in an undergraduate program of Chemistry, Biochemistry, or related field
• Prior lab experience is preferred.

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Embark on a future with an international pharmaceuticals company, contributing your creative energy to high-impact projects from the moment you arrive through the course of this 12-week experience. You will take part in meaningful work and real-life projects that will help you grow both professionally and personally throughout the program.

Tasks & responsibilities

• During the 12-week program, you will gain in-depth insight into the Supply Chain department.
• Supported by a mentor and experienced colleagues, you will be directly involved in our daily business and be assigned tasks within diverse projects.
• You will also play an important role in the development of concepts and initiatives within the Supply Chain Planning business unit.

• Currently enrolled in Bachelor’s or master’s program in Industrial Engineering, Supply Chain Management, Operations Management, Data Analytics, or related fields.
• Fundamental understanding and experience in data analysis, process improvement, and ERP systems (preferably SAP ECC/APO).
• Strong proficiency in Excel (pivot tables, data visualization, advanced formulas) and familiarity with Power BI or similar analytics tools.
• Basic understanding of production scheduling concepts and manufacturing processes.
• Exposure to scenario simulation, decision-support tools, or optimization models is a plus.
• Ability to gather and organize data from multiple systems (e.g., SAP, LIMS) to support analysis.
• Strong communication and problem-solving skills; comfortable working with cross-functional teams.

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.