PHC Data Scientist – Roche – Basel, BS


Pensum: 90-100%

Vollständige Stellenbeschreibung
The Position

We at Roche know that every patient journey is unique, even for patients diagnosed with the same disease. We believe in patient-centered healthcare, which shifts the focus from merely treating diseases to the delivery of individually optimized care plans that incorporate the latest innovations in healthcare to bring the best overall outcome to each single patient.

At Roche, personalised healthcare (PHC) means better health, at a lower cost, for people and

society. It means shifting from a one-size-fits-all approach to the best care for each person. Our goal is to create personalized, integrated solutions that will address real-world problems for patients and physicians. The convergence of pioneering science, data, analytics and technology—existing and new—is central to this vision.

We are seeking a highly talented data scientist to join our PHC Data, Analytics and Imaging group. You will collaborate with peers within and outside the function located around the world to develop evidence generation strategies, identify evidence gaps, design and execute studies, implement analyses and develop algorithms that support our PHC product portfolio. These will be used to inform the research and development of our PHC integrated solutions that will be used to facilitate healthcare decisions by patients, physicians, health authorities, payers, and policy-makers. This will require a deep understanding of the patient journey in specific disease areas, of the inner workings of healthcare environments, as well as strong scientific and technical data science expertise. Source data will be diverse – clinical, imaging (clinical imaging, digital pathology), -omics (RNASeq, spatial transcriptomics, genomics, GWAS), and/or digital (wearables, sensors) data, all potentially coming from trials or from the real world, including from patient registries, electronic medical records, claims, and biobanks. You will need strong strategic, collaboration and communication skills, as well as a visionary mindset, to transform the way we use data and analytics to develop and deliver solutions for our patients.


  • Collaborate with internal data scientists and external vendors to derive and validate novel biomarkers and algorithms in support of the PHC product portfolio

  • Apply your scientific, data management, statistical and machine learning (including deep learning) knowledge to a wide range of oncology, neuroscience, and ophthalmology ‘big data’ assets to complete tasks ranging from endpoint development and outcome prediction to software development and scientific data transfers.

  • Collaborate with data management teams to deploy, maintain and integrate computational solutions

  • Identify and gain access to external RWD data sources

  • Curate/clean/organize large clinical, imaging, -omics or digital/sensors/wearables datasets

  • Develop a comprehensive and deep understanding of the data we work with and foster learning with colleagues using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately

  • Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.

  • Lead large and complex projects and / or matrix teams and stay focused on high-impact business needs.

Required skills:

  • MS in quantitative field (eg mathematics, statistics, computer science, bioinformatics, EE, Biomedical/Bioengineering, etc.), and/or adv. Life Sciences degree with significant computational experience. PhD or post-doc experience is a plus

  • Understanding of end-to-end ML/DL/AI development steps like data engineering, computing/storage resource budgeting, model training, model selection and model evaluation.

  • Experience working in a range of Neuroscience diseases

  • Experienced with statistical and/or machine learning algorithms and their applications in controlled experiments and/or observational data.

  • Experienced with regulatory requirements for SaMD and evidence generation for clinical validity and utility of algorithm-based SaMD products.

  • Proven track record of developing and executing data science research projects, patient-level data analyses and/or clinical algorithm development and validation (based on RNASeq, genomics, imaging, real world data, surveys, clinical trials, registries, claims) with publications and presentations.

  • Experienced in Python or R (polyglot in multiple programming languages a plus). Hands-on skills using data science packages, for instance Pandas, Scikit-learn, numpy for Python, tidyverse, caret for R.

  • Experienced in using scientific computing environments in unix / linux in an enterprise cluster on premises or in cloud.

  • Experienced with technologies required to undertake analyses on large data sources or with computationally intensive steps (SQL, parallelization, Hadoop, Spark, etc.)

  • Hands-on experience with productivity toolchains such as JIRA, enterprise git, TargetProcess, ideally in an agile framework.

  • Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges

  • Excellent communication skills. Track record of complex stakeholder management and ability to influence and drive strategy a plus.

  • Excellent network of industry and/or academic partners. Experiences in establishing and leading data and/or R&D partnerships with industry a plus.

  • Intrinsically motivated with a commitment to accuracy and quality

  • Demonstrated entrepreneurial mindset, experience and self-direction, ability to teach others or build relevant knowledge share communities and willingness to learn new techniques

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel/Kaiseraugst site, which is one of Roche`s largest sites. Read more.

Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.

We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.

Roche is an Equal Opportunity Employer.

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