About Us 

Valo Health is a technology company applying human and machine intelligence to accelerate the creation of life-changing medical treatments. At the core of this vision is Valo’s computational platform: an end-to-end, integrated drug discovery and development engine that is being built from the ground up. 

Valo hires the best and gives them first-class training and support. We approach our work fearlessly, learn quickly, improve constantly, and celebrate our wins. A centerpiece of our culture is our commitment to inclusion across race, gender, age, religion, identity, and experience. Diversity fuels the Valo experience and drives us every day. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.  

About The Role 

As a Senior Data Scientist, Epidemiology and Patient Data Products 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 execute research analyses under the management of a project lead to validate drug targets using large real-world healthcare databases. You will work in the full study lifecycle from designing the study, coding the analysis, and presenting the results to stakeholders. Successful candidates will collaborate with a diverse set of domain experts in clinical and biology, in ways that cut across traditional industry boundaries in an innovative startup environment. 

What You’ll Do… 

• Work as a member of teams of world-class data scientists developing robust, generalizable solutions to core scientific problems. 

• 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. 

• Work with multiple electronic medical record datasets using R and/or Python in cloud environments. 

• Use your technical knowledge and intuition 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. 

• Be a dynamic and active team member, championing and adopting shared coding standards, participating in code review, and providing regular updates of your work and input into the work of your colleagues. 

• Work heavily within the cardiometabolic therapeutic area, but also potentially encountering problems across a variety of different clinical and pharmaceutical domain areas. Able to quickly learn and get up to speed in these new areas. 
• Contribute to the team’s continuing education and best practices through literature reviews and knowledge synthesis across epidemiological/clinical topics. 

What You Bring... 

• Experience in epidemiology, biostatistics, applied statistics or related quantitative field: PhD or MPH/MS with two years of experience. 

• Demonstrated ability to execute robust analytical strategies using health care databases including electronic health records, administrative claims databases, and/or patient registries. 

• Experience with epidemiology research methods including cohort and case control study design, confounding control, and longitudinal methods. 

• Experience with causal approaches applied to observational studies, including propensity score methods, bias adjustment, and covariate selection and adjustment. 

• Experience creating specific patient cohorts with detailed and purposeful inclusion/exclusion criteria. 

• Experience developing and communicating epidemiological analyses that have sufficient depth for both clinical and biological stakeholders. 

• Must have experience conducting data manipulation and statistical analysis 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 every time. 

• Advanced knowledge in biostatistics approaches, including inferential modeling, longitudinal modeling, and hypothesis testing. 

• Familiarity with or exposure to traditional drug discovery and development processes and approaches is a plus. 
• Familiarity with pharmacoepidemiology 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 and headquartered in Lexington, MA, Valo also has offices in New York, NY. To learn more, visit www.valohealth.com.