Anti-falsified Medicines Chemometrician / Security Professional (f/m/o) 100%

For our client, a renowned pharmaceutical company based in Basel, we are seeking a:

Anti-falsified Medicines Chemometrician / Security Professional (f/m/o) 100%

Job Purpose:

The global Pharmaceutical Intelligence (PharmINT) & Forensics strategy is fully embedded in the Combatting Falsified Medicines program, which is destined to combat pharmaceutical crime and create the conditions to bring counterfeiters and illegal traders to justice, recover losses through legal action, improve patient safety, preserve the company’s reputation, and create a tangible return on investment for the business.

The Anti-falsified Medicines chemometrician is a highly specialized and technical role, reporting to the Antifalsified Medicines Director, PharmINT at Global Security. Anti-falsified Medicines chemometrician is a Spectroscopic Data scientist who will advance the state-of-the-art data sciences and digital tools including machine learning, artificial intelligence to automate the spectrometric authentication of suspicious products.

He/she will work closely with PharmINT & Forensics team to contribute to the development, validation and maintenance of spectrometric authentication methods development and maintenance to empower the Authentifield by the company. He will work to timely build and maintain accurate, comprehensive cross-divisional, authentication methods to support fast spectrometric authentication. Specific duties will include development, validation, release and maintenance of spectra for counterfeit detection methods (i.e. vibrational spectroscopy such as Raman, FTIR, NIR as well as multivariate statistical analysis) using the authentication platform assets.

All work must be performed in adherence to the company’s high technical, environmental, and health and safety standards. This position will require close collaboration and substantial interaction with Global Security associates as well as with various internal stakeholders (i.e. Quality, Tech Ops, and Pharmacovigilance).

Major Activities & Accountabilities

  • Closely partner with the Anti-falsified Medicines Director, PharmINT to align activities and ensure they are closely connected with the Authentifield by the company’s strategy
  • Lead the management of machine learning methods and algorithms of a wide variety of pharmaceutical products founded on their spectral libraries to support to support industry-changing topics such as Predictive Analytics, Machine Learning and Artificial Intelligence
  • Lead the delivery cost-efficient and comprehensive results for pharmaceutical intelligence collection operations: Autonomously discover, design, and develop analytical methods to support novel approaches of data and information processing: work with large complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods including robust machine learning, multivariate/chemometrics statistical techniques for reliable and real time detection of counterfeit medicines; conduct end-to-end analysis that includes data gathering and requirements specifications, processing, analysis, ongoing deliverables and presentations; iteratively improve algorithms based on state-of-the-art machine learning models; maintains machine learning routines and algorithms and perform explanatory data analysis including historical data to identify patterns; Keep abreast of the latest scientific developments;
  • Prepare detailed documentation to transfer knowledge and satisfy governance and regulatory concerns.
  • Perform evidence profiling from pharmaceutical and forensic assessments to highlight criminal patterns, signatures or modus operandi to leverage anti-counterfeiting investigations of linked cases through data analysis and data mining.
  • Collaborate with business partners to understand needs, recommend enhancements and deploy predictive analytics across multiple platforms
  • Maintain and further build knowledge of local and international regulatory and legislative requirements and trends to provide expert advice and appropriate technical support on all quality and legal related matters.
  • Promote the department in line with the global security strategy by representing Global Security as a trustworthy and authentic business partner that provides essential value-added services.

Absolut must-have requirements for the role:

Experience in ExperiVibrational Spectroscopy Multivariate data analysis Machine learning, Jupyter notebook, AWS, SageMaker, MLOPS, Python

Ideal Background:

  • MSc or PhD in Chemometrics, Chemical Engineering, Industrial Statistics or equivalent experience with strong background in spectroscopy data analysis, multivariate statistics, Design of Experiments, process optimization and Analytical methods qualification; or equivalent education with experience in the pharmaceutical industry.
  • Fluent in English, other languages desirable
  • 3-5 years’ experience undertaking similar roles in the Pharmaceutical Industry or others with a particular focus on applied data science in analytical chemistry and forensic sciences as well as machine learning development and implementation.
  • Proficient in computational analysis of field measurement data with Python with data management and integration skills; Machine Learning (PCA, PLS...), chemometrics, including coding, problem-solving and data analysis skills; Cloud computing; Coding skills in Python are strongly required.
  • Extensive knowledge of data modelling and machine learning techniques (supervised and unsupervised learning, recommender systems, natural language processing, computer vision, etc.)
  • Extensive skills with programming/analytical tools (Python, R, SAS, Matlab, etc.) is highly desired;
  • Experience cleaning and processing data (structured, unstructured)
  • Strong skills with data querying tools (SQL, DB2, Hive, Pig etc.)
  • Sound experience in vibrational spectroscopy (NIR, FTIR, Raman...); Operational experience should include manufacturing, forensic, QA/QC management, development or other relevant experience e.g. working at a regulatory health authority and/or law enforcement are a plus
  • Experience working in a matrix environment with global, crossfunctionally teams: experience articulating business questions, using mathematical techniques to arrive at an answer using available data, and translating technical/analysis results into business recommendations
  • Strong ability in self-learning, entering new domain, managing through uncertainty in an innovative team environment: Quick learner, problem solver, working flexibly and in autonomy with solid written and verbal communication skills. Passionate and self-motivated.
  • Ability to work in collaborative multiple project team environment and ship production features in a fast-paced environment.
  • Excellent communication (written and verbal), presentation, and facilitation skills
  • Customer/end result/Metrics driven in design and development: ability to manage multiple goals and deadlines
  • Proficiency in computing skills including Python, data management including databases and integration skills: Machine Learning (PCA, PLS...), chemometrics;
  • Extensive knowledge of data modelling and machine learning techniques (supervised and unsupervised learning, recommender systems, natural language processing, computer vision, etc.)
  • Extensive experience with programming/analytical tools (Python, R, SAS, Matlab, etc.) is highly desired;
  • Sound knowledge of multivariate statistical tools and analytical method development and validation;

Nice to have:

  • Sound knowledge in analytical chemistry technology is a plus;
  • Sound knowledge of the enterprise products portfolios (Innovative Medicines and Sandoz) is plus
  • Proficiency in pharmaceutical formulation development and process engineering is a plus.
  • Sound knowledge in pharmacopoeia compendia, good knowledge of current legal and regulatory requirements and guidelines (ICHQ8, ICHQ9, and ICHQ10)Comprehensive knowledge of cGMP and cGLP are plus’s
  • Sound knowledge in analytical technology and equipment, including qualification and calibration is a plus
  • Good know-how in common computer applications, e.g. SAP, MS Office, SharePoint as well as in laboratory specific applications, e.g.

Additional Information:

  • assignment duration: 2 years
  • onsite position, Basel

Anja Glinschert
Anja Glinschert
Telefon: 058 255 31 01

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