Senior Data Science & Machine Learning Expert (m/f/d)

  • Pfizer Inc.
  • 10785 Berlin, Germany
  • 27/01/2023
Full time Data Science Machine Learning Business Intelligence Software Engineering DevOps

Job Description

Job Description

employment type
full time

Full job description

A career at Pfizer offers opportunity, ownership and impact.
All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values ​​diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.
Right now, we are seeking highly qualified candidates to fill the position:
Senior Data Science & Machine Learning Expert (m/f/d)
in Berlin
Medical Affairs Germany (Knowledge & Transformation Hub) is seeking an experienced data science & machine learning expert to assess machine learning tools in order to support processes in Medical Affairs, eg regarding an automated analysis of medical documentation in different Pfizer systems. You will lead efforts to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses for the development of new Medical KPI's. You will also design, establish, and manage external collaborations to advance Pfizer's Machine Learning (ML) capabilities and will interact with the internal ML community as well (both on Global and Local level, eg interactions with Patient&Healthcare Experience).
What You Will Achieve:
With a deep knowledge in contemporary ML model architecture and applications based on respective technologies you will assess trends, impacts, players and chances for Pfizer Medical Affairs to use ML for internal purposes as well as for external opportunities/partnerships.
In close collaboration with other internal experts (eg Analytics Group in Patient&Healthcare Experience Germany, Pfizer Global Machine Learning Research Group) you will survey the external landscape for ground-breaking approaches and leverage the most promising techniques for application in the biomedical arena.
He/she will scout the market and consult decision makers in Medical Affairs regarding potential external partnerships with ML technology companies and will act as project lead for appropriate digital projects.
You will represent Pfizer Medical Affairs both internally (wherever data science topics may play a role) and externally (eg in scientific communities, societies,...) and will promote data analytics initiatives as subject matter expert. As such, he/she will contribute to scientific publications, evaluate the current publication landscape and present the state-of-the art in different committees.
you want
  • Be an active member of a highly interdisciplinary team within the Knowledge&Transformation Hub
  • Actively contribute to our Knowledge Management Initiative and find ways to improve our Pfizer digital platforms (eg CINTO)
  • Generate direct impact on future ML projects to help patients
  • Strengthen external visibility and scientific excellence
Must have
  • Formal training in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry, Physics, related technical discipline, or relevant practical experience (Bachelor's degree)
  • Programming experience in Python / R. Experience/familiarity with database analysis (NoSQL, SQL, MongoDB, etc.) and data visualization (Power BI, Tableau, etc.)
  • In-depth experience in ML algorithm design, development, and algorithm-related solutions.
  • Profound experience with state-of-the-art machine learning methods and model selection concepts.
  • Working knowledge of one or more scientific data types (e.g. biomedical images, biomedical text, large-scale, multidimensional 'omics, large- or small-molecule therapeutics, clinical or real world data, etc.)
  • Demonstrated ability to inform and drive strategy in the field of ML Research.
  • fluent in German is a must, very good English skills
Preferred Qualifications:
  • Familiarity with cloud computing platforms (AWS, Google Cloud, Microsoft Azure, etc.)
  • Practical experience with implementing deep learning-based solutions and in handling, processing, integrating, and analyzing large data sets
  • First industry experiences (ideally with medical touchpoints)
  • Publication record and demonstrated contributions
  • Passion and curiosity for data and proven ability to take ideas from prototype to production.
  • Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively both independently and in cross-functional teams
  • Outstanding problem-solving ability to resolve challenging analysis tasks combined with strong statistical and mathematical skills
Nice to have
  • Master's degree
  • Relevant pharmaceutical industry experience
  • Experience with data modeling and data storage concepts
  • Understands business processes in one or more pharmaceutical domains including discovery, research, clinical, regulatory or safety
  • Demonstrated understanding of data management principles
What we offer:
  • Various career and development opportunities
  • Being part of a local as well as international team
  • Flexible working hours and places
  • up to 50% working from home
  • Health programs for all employees
  • The opportunity to engage in social projects
  • A great company culture
  • Great employee benefits
"Breakthroughs that change patients' lives" - Our clear corporate goal is to achieve breakthroughs that change the lives of patients. They are the meaning of our actions. If you want to be part of this vision and share the same passion, Pfizer is the ideal place to start a career or to continue one successfully.
Then we look forward to receiving your online application with complete and meaningful documents (cover letter, CV and files such as certificates etc. can be added and uploaded under "My professional experience" under your CV).
Please note that for data protection reasons we can only accept applications via our platform.
Pfizer guarantees equal opportunities throughout the application process and compliance with local legislation in each country where Pfizer operates. Pfizer excludes any discriminatory factors including, but not limited to, gender and age, ethnicity, religion or belief, sexual orientation or disability.
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