Senior Data Scientist, Patient Data in Epidemiology and Patient Data Products

About us 

Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we.

We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us?

About the Role

As a Senior Patient Data Expert in Epidemiology and Patient Data Products, reporting to the head of IL office, you will be a core member of a team of epidemiologists, data scientists, and data engineers building a powerful computational platform for advancing the discovery and development of new medicines. In this role, you will curate data and answer research questions using large real world healthcare databases under the guidance of drug discovery program leads. To do so, you will work in partnership with colleagues in clinical data informatics, data engineering, and machine learning to develop solutions to challenging computational problems. Successful candidates will work with a diverse set of scientists and domain experts, in ways that cut across traditional industry boundaries in an innovative startup environment.

What You'll Do...

• 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.

What You Bring...

• 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.

Preferred Qualifications...

• 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.

More on Valo

Valo Health, LLC (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company’s Opal Computational Platform™ is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative diseases. Founded by Flagship Pioneering, Valo is headquartered in Lexington, MA with tissue engineering research based in New York, NY. To learn more, visit www.valohealth.com.