Director, Data Scientist

Novocure is a global publicly-traded commercial-stage oncology company developing a profoundly different cancer treatment therapy called tumor treating fields (TTFields) for patients with solid tumors. TTFields therapy is a non-invasive, novel, antimitotic treatment modality that utilizes proprietary technology attempting to slow or reverse tumor progression by inducing tumor cell death.

Novocure's commercialized product, Optune, is approved for the treatment of adult patients with glioblastoma (GBM) in the USA, Europe, and Israel.

Novocure has ongoing or completed clinical trials and is further expanding its efforts into several other solid tumor indications - non-small cell lung cancer, pancreatic cancer, and other types of solid cancers.

The company pipeline includes preclinical and multiple phase II and phase III international clinical trials.

Thousands of patients have benefited from our treatment so far. Based on the patients’ data we plan to investigate the preclinical, clinical and our device performance. Develop new tools for monitoring and predicting various issues that may impact the treatment outcomes.

Therefore, we are looking for a highly motivated manager to lead the data-scientist team as part of the Biostatistics group.

This full time position is located in Israel and reported to the VP, of Biostatistics & Data Management.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Lead and manage a team of data scientists and bioinformaticians

Analyze large datasets to identify patterns and trends that can inform healthcare decisions, suggest interpretations stemming from the domain knowledgebase

• Design and develop predictive and prescriptive model to improve product delivery and outcomes and to support medical research and clinical applications
• Ensure data quality, integrity, and compliance with relevant regulations
• Implement novel statistical methodologies and machine learning algorithms

Establish specific data and workflow requirements to ensure that content, timing, lineage, and transformation needs are well understood and addressed

Work with others on the Product team to Identify optimal approach(es) for delivering information insights into workflow

Development of analysis plans, methods and reports for various data science initiatives within the clinical and product teams

Lead activities of bio-informatics including development of algorithms for cutting-edge next-generation sequencing (NGS), analyzing exciting large-scale genomic data; develop high-performance computing platform and analysis workflow.

• Translate complex data analysis into actionable insights for non-technical stakeholders
• Work closely with cross-functional teams, including researchers, clinicians, physicists, algorithms, Real-world Evidence, engineers and IT to implement data-driven strategies and integrate data analysis methods into products

Lead researchers to detect device treatment patterns and develop methods for detecting and preventing device failure based on data.

Lead the creation of predictive models of clinical and device treatment data in a survival analysis

Write documents and prepare presentations necessary for patents, regulatory submissions, academic conferences and other scientific publications.

QUALIFICATIONS/KNOWLEDGE:

Qualifications:Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Applied Mathematics, Statistics, Biomedical Engineering, or a related field

• Knowledge: At least 7 years of experience in the Data Science field
• At least 3 years of experience in a management role
• Strong background in machine learning tools and methods and extensive knowledge of bioinformatics
• High level of proficiency in SQL, Python, and R.

Proficient in building handling and processing large datasets.

Previous experience in data analysis of next-generation sequencing (NGS) data- advantage.

Solid background regarding signal processing – advantage.

• Knowledge of survival analysis a must or advantage

Knowledge of clinical and Real-world Evidence databases- a must or advantage

Independent and capable of solving complex algorithmic problems with minimal guidance.

Team player capable of working in a multi-disciplinary environment involving software engineers, physicists, algorithm engineers, and physicians.

Familiar with image processing methods - advantage.

• Fluent in English (both verbal and written) with excellent communication skills
• Responsible, detail-oriented, and creative with strong organizational skills.