Senior Patient Data Expert

• Be Valo patient data expert, develop a deep understanding of Valo patient data, spanning structured and unstructured electronic medical records and biobank registries, and its applications in drug discovery research.
• Use your technical expertise and problem-solving skills to articulate and break down large problems into solvable pieces. There are a lot of problems to solve; you'll need to prioritize which of these are critical-path today from those that can wait to maximize impact.
• Work closely with clinical informatics, clinical data engineers, and machine learning teams across global sites to optimize patient data utilization, and ensure high quality datasets for research and development
• Be a dynamic and active team member, writing high-quality, reproducible analysis code in R and Python, participating in code review, and providing regular updates of your work and contribute to the work of your colleagues.
• Design comprehensive data curation strategies, leveraging AI and machine learning tools, execute and conduct patient data validation studies, and prioritize efforts based on scientific leadership input and customer needs.
• Create detailed reports that summarize findings and provide actionable recommendations that support internal data science and engineering teams in improving Valo's patient data assets and advancing real-world data initiatives.
• Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we're trying to address don't have known solutions or clear processes to arrive at answers.

• MPH, MS in public health, epidemiology, biostatistics, applied statistics or related quantitative field with 5+ years of experience working with real-world health data.
• High proficiency in Hebrew and English, with the ability to communicate effectively in both languages in a professional setting.
• Demonstrated ability to execute robust analytical strategies using healthcare databases including structured and unstructured electronic health records, administrative claims databases, and/or patient registries.
• Hands on experience in population health observation studies, including designing survey or medical chart abstraction instruments, curating patient data and constructing relational databases.
• Experience with epidemiology research methods including cohort and case-control study design, and interpreting inferential statistical outputs.
• Must have experience conducting data manipulation, statistical analysis and visualization in Python and/or R programming languages.
• Experience developing research proposals and conducting feasibility studies.
• Comfortable working in ambiguous problem spaces; experience working in a start-up or agile work environment as part of cross-functional project teams.
• Exceptional time management, ability to prioritize multiple tasks simultaneously, and deliver products on time.

• Experience working in Israeli electronic medical records is a plus.
• Advanced knowledge in biostatistics approaches, including inferential modeling, predictive modeling, and implementing unsupervised machine learning algorithms in real world health care databases is a plus.
• Experience translating machine learning output into meaningful insights for diverse audiences is a plus.
• Familiarity with or exposure to traditional drug discovery and development processes and approaches is a plus.
• Familiarity with integrated clinico-omics datasets (including sequencing, genomics, proteomics, etc) is a plus.

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