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Location
Hybrid (Sofia, Bulgaria)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Jul 7, 2026. Teva scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Teva Pharmaceutical Industries is a global pharmaceutical company headquartered in Tel Aviv, Israel, that develops and sells generic medicines, biosimilars and branded specialty drugs in neuroscience and immunology. Founded in 1901 in Jerusalem, it is one of the largest generic drug makers in the world, with manufacturing and research sites across Europe, North America and Israel and a US base in Parsippany, New Jersey. It hires neuroscience sales specialists, packaging operators, quality control chemists, analytical scientists, supply chain and finance staff, brand managers and IT, data and AI specialists.
Backed by venBio Partners

We Are Teva

We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.

Our Team, Your Impact

As Data Science Manager, you are a manager within External Manufacturing Central Service team working in close collaboration with internal colleagues and stakeholders identifying systemic process optimizations, developing reporting tools and assessing cross-functional data.

How You’ll Spend Your Day

  • Identification of systemic process optimizations in the QA/QC area by linking various data sources and reporting structures (e.g., complaint data, product data evaluations in the form of quality reports).
  • Development and evaluation of solutions to cross-functional business challenges through the development and implementation of advanced analytics solutions (machine learning, artificial intelligence, and deep learning).
  • Planning and execution of end-to-end projects with a focus on data science, Digital Transformation Applications (DTA), and Robotic Process Automation (RPA), involving the IT interface partner.
  • Responsibility within QO for the GMP-compliant implementation of a system for digitized data availability, with an interface-validated concept for database access, timely and comprehensive data analysis, monitoring, and control of quality processes, e.g., complaint capture/evaluation/reporting as well as PQR, KPI, and certificate creation (CoA).
  • Creation, review, and administration of templates/data entry forms for KPI and quality reporting for quality control and quality assurance, as well as implementation of a timely quality management overview.
  • Alignment with internal stakeholders (including Quality, Production, Engineering, MS&T, Regulatory Affairs, Finance, HR) and the global point of contact for data analysis regarding data availability and preparation in order to support, digitally transform, optimize, and automate the above processes.

Your Skills and Experience

  • You have completed university degree in IT, mathematics, statistics, engineering or data science; ideally experience in collecting and interpreting analytical results
  • You have at least 2-3 years of professional experience, ideally in the pharmaceutical sector or a related field
  • You have at least 1 year of experience in a multidisciplinary data and analytics environment
  • Quick comprehension, independent working style, and sound practical knowledge of statistics including related tools
  • Good Office skills, SAP knowledge
  • Experience with TrackWise/Veeva, Databricks, Microsoft Power Platform tools, and Qlik Sense is a big advantage
  • Good knowledge of programming languages such as SQL and VBA
  • Very good English language skills
  • Strong problem-solving skills with analytical and deductive thinking
  • Project management experience in handling large and complex datasets from different information sources
  • Practical experience handling large and complex datasets from heterogeneous information sources using analytics and big data tools, machine learning, and advanced analytics
  • Strong customer and service orientation

How We’ll Take Care of You

  • Dynamic and challenging work environment in one of the world leading pharmaceutical company and the biggest pharmaceutical company in Bulgaria
  • Competitive remuneration bound with performance
  • Additional healthcare insurance
  • Transportation allowance and additional flexible benefits
  • Flexible working hours and option to work from home as per the company policy
  • Opportunity for development

Make a difference with Teva Pharmaceuticals

If this sounds like the right opportunity for you, send us your CV in English.

Please, kindly note that only shortlisted applicants will be contacted. All personal data is protected by law and will be treated in confidence.

Already Working @Teva?

Make sure to apply through our internal career site on Twist-your one-stop shop for career development

Teva’s Equal Employment Opportunity Commitment

Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

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