Data Scientist - Statistical Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Roche Data Scientists are essential leaders in driving and implementing a broad range of quantitative drug development strategies; they bring data to life and enable the organization to make the best possible data-driven decisions.

As a Data Scientist at Roche Pharma, you’ll actively shape the future of healthcare as a member of Data and Statistical Sciences (DSS) within Product Development (PD) and PD Data Sciences (PDD). You will be responsible for the strategic and analytical activities of the molecules and devices in our pipeline on a level matching your seniority. 

DSS activities span multiple therapeutic areas, a wide range of data types, and collaborations with a variety of experts, all with the goal to develop innovative healthcare solutions for patients and society. Your responsibilities in support of our PDD products may include a wide variety of contributions: partnering with key stakeholders, working on the molecule portfolio, supporting specialized business areas, or contributing to key initiatives that shape our technical, business and healthcare environments. You may be a work product owner and leader, quantitative expert on a project team, or driver of key internal or external relationships.

Responsibilities:

As a Statistical Scientist, you will provide statistical expertise and strategic drug development leadership for clinical development projects, research applications, development science applications, and/or product manufacturing applications. You will be accountable for the statistical integrity, adequacy, and accuracy of deliverables on these projects, e.g. the design, conduct and evaluation of experiments. You are also expected to provide analytical and strategic leadership for exploratory analysis activities, e.g. biomarker development and PK/PD modeling.

Qualifications:

• College/University degree – bachelor degree or higher or equivalent education in scientific, medical or relevant technical discipline.
• Experience in the pharmaceutical/biotech industry is preferred. 
• Understanding of theend-to-end drug development lifecycle, particularly as relevant to the Specialty of interest.
• Track record of establishing successful internal partnerships and collaborations.
• Influential and confident communicator
• Demonstrates experience or is adaptable to utilizing and/or models modern ways of working consistent with an agile and growth mindset, and agile behaviors and methodologies. 
• Fluency in written and spoken English
• Ability to work across multiple cultures and countries
• Knowledge of GCP, international regulations, guidelines and their application, and all other applicable compliance standards is a plus
• Willingness to travel as required